Sökresultat för "Reinforcement"

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM As a leading player in the internet economy, Stripe has a responsibility to protect itself, our users, end customers, and the broader financial ecosystem from harm. Fraud Operations proactively reduces fraud, making it difficult and unprofitable for fraudsters to carry out attacks through Stripe. We build scalable, high-judgement investigation and review operations while minimizing user friction. We work across products, customer segments, and markets and serve as a core pillar of Stripe’s risk strategy. WHAT YOU’LL DO Stripe is hiring a Team Lead to develop a team of Operations Associates (OAs) within Fraud Operations in Bangalore. You will be responsible for the day-to-day operational execution and performance of your workflow(s), including queue health, SLA attainment, and decision quality. This role requires staying close to the work, remaining hands-on in complex casework (QA and targeted production), modeling high-quality decisioning, providing real-time coaching, and serving as the first-line escalation owner. You will also drive unit-level operational excellence. To be a fit, you will have a coaching mindset, proven ability to communicate at different levels, a track record of driving operational performance, and a passion for inspiring a team to deliver outstanding results. RESPONSIBILITIES * Manage a team of Operations Associates; set clear expectations, coach performance, and build a high-judgement culture rooted in strong decisioning and customer empathy. * Own individual performance metrics of Operations Associates and ensure the team consistently meets throughput, SLA, and quality targets. * Perform specific unit-level execution, including: defining, clarifying, and evolving core processes, leading team meetings, and performing root cause analyses for defects. * Support team operations including hiring, onboarding, scheduling, and intra-day coverage planning to meet SLAs; provide interview feedback and help maintain a high hiring bar. * Maintain hands-on casework at a level that enables effective coaching and escalation coverage, without compromising core people-lead responsibilities and team performance management. * Own and evolve SOPs and decision frameworks for your workflow(s); drive process adherence and consistency through clear guidance, change management, and reinforcement mechanisms. * Represent your workflow(s) in cross-team forums, surface operational pain points, propose improvements, support rollouts, and drive adoption within your team. * Serve as the primary escalation point for complex or time-sensitive cases within your unit, in partnership with global fraud stakeholders * Drive process adherence and consistency across your team through robust quality programs and calibration. * Participate in leader development and represent Bangalore workflows in global enablement sessions/onsites as needed. WHO YOU ARE You are a hands-on people leader and operational owner who thrives in a fast-paced fraud investigation environment. You run a strong performance cadence through clear metrics, coaching, and rigorous decision quality. You can take ambiguous operational problems, use data to diagnose root causes, and drive changes that stick, through influence, alignment, and follow-through, not just instruction. You bring sound judgment, calm execution under pressure, and a bias toward data-backed solutions and measurable improvements in both fraud outcomes and user experience. MINIMUM REQUIREMENTS * Experience leading fraud, risk, trust & safety, or investigations operations in a high-scale environment. * Proven ability to manage a team of frontline operations associates and own their individual performance/productivity. * Experience with payments, risk, compliance, or financial industry operations. * Proven ability to define and operationalize team-level metrics (e.g., accuracy/quality, SLAs, throughput) and use data to drive team priorities. * Strong operational background in new process launches, service delivery, and building operating models at the unit/team level. * Excellent written and verbal communication skills, including presenting operational updates and representing the team in escalations in English. * Skill and credibility doing the core work of a user facing team with a high bar for quality, and a willingness to lead by example. * At least 3+ years of direct people management experience; this includes handling performance management and proactively coach/mentor individuals. PREFERRED QUALIFICATIONS * Strong fraud domain depth across investigation workflows, risk vectors, and decision frameworks * Experience in optimizing unit-level fraud review operations through process redesign and tooling improvements. * Experience with payments risk (CNP/card testing, ATO, merchant fraud, transaction fraud) and familiarity with how upstream detection and downstream enforcement interact. * Strong analytics proficiency (comfort with data to track team performance) and comfort partnering with data science/engineering.

Datadog

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.   Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.   We are focused on two research areas:   1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. 2. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.   What You'll Do:   * Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability * Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure * Design and build simulated environments and RL training loops for on-policy agent training and evaluation * Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products * Stay at the forefront of foundation models, world models, and RL-based agent research * Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks   Who You Are:   * You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience) * You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch) * You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR) * You are familiar with efficient training, post-training, and inference techniques for large foundation models * You can explain complex models and research findings to both technical and non-technical audiences   Bonus Points (any of the following):   * Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents * Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment * Experience writing production data pipelines and applications * Hands-on experience with GPU programming and optimization, including CUDA   Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth: * Competitive global benefits  * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris * Opportunity to attend and present at conferences and meetups * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   About Datadog:  Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.   Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.   Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.   #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Aldelia Sweden AB

We are looking for a Team Leader / Supervisor for a construction project in Boden, Sweden. Contracts and terms Contract: 10 months, with the possibility of extension Accommodation: Provided on site Flights: Included PPE / Protective equipment: Included Salary: Hourly wage based on hours worked Role As a Team Leader / Supervisor, you work under the responsibility of the site manager and lead a team of workers on the construction site. The role involves organizing the daily work, following production goals and ensuring that the work is carried out according to safety, quality and environmental requirements. Main duties Lead and organize the day-to-day work of a team on site. Follow the daily production plan together with the site manager. Ensure that daily goals are met or report deviations. Plan and ensure the need for materials, equipment and resources. Allocate tasks and ensure that the team understands their responsibilities. Support and guide workers directly on the job site when needed. Ensure that health, safety, quality and environmental rules are followed. Carry out or supervise stakeout/measurement of work within the area of responsibility. Check the quality and conformity of the work performed. Report problems, risks or delays to the site manager. Requirements and qualifications A minimum of 5 years of experience in construction, construction, masonry, formwork, reinforcement or similar area is required. Experience as a Team Leader, supervisor, foreman or similar role is required. Good practical construction knowledge and the ability to read drawings. Ability to organize workers, allocate tasks, and follow daily goals. Good understanding of safety, protective equipment, quality and productivity on construction site. CAP/BEP Building or equivalent education is an advantage. Basic English or French is an advantage.

Aldelia Sweden AB

Contracts and terms Contract: 10 months, with the possibility of extension Accommodation: Provided on site Flight: Included PPE/Protective Equipment: Included Salary: Hourly wage based on hours worked Role As a formworker, you work under the responsibility of a supervisor/team leader and carry out formwork work, reinforcement and concrete work according to instructions, safety rules and quality requirements at the workplace. Main duties Establish and secure the work area. Manufacture and assemble traditional or industrial formwork. Place reinforcement for concrete structures. Casting concrete and supporting concrete work. Tear down formwork safely after concrete work has been carried out. Manufacture and assemble prefabricated elements. Read reinforcement drawings and follow instructions on site. Use tools and equipment safely and accurately. Check the quality of the work performed. Keeping the workplace clean and organized. Comply with health, safety, quality and environmental regulations. Report problems, errors or dangerous situations. Requirements and qualifications Experience of formwork, reinforced concrete, masonry or carpentry is an advantage. Education in formwork, safety, drawing reading, reinforcement or construction is an advantage. CAP Builder, masonry/concrete education or equivalent education is meritorious. Ability to read drawings and follow instructions on the jobsite. Good understanding of safety rules and the use of protective equipment. Basic English or French is required.

EnHunt AB

Munters is on a journey from being only a supplier of dehumidifiers, humidifiers and components, to becoming a supplier of the perfect climate for our customers. Air treatment is one of the industries where development is starting to move fast, and the world is changing – and Munters with it. We see exciting challenges ahead of us that we have never faced before. Our R&D team is continuing to develop ”AI Control” – our concept for dynamic, self-optimizing control of our machines. We are now looking for an AI Developer to join our small, tight-knit team at the head office in Kista. This is a fantastic opportunity for someone who wants to grow in a developer role within AI-driven control and dynamic modelling. The role You will join a small, dynamic R&D team working at the intersection of mathematics, AI modelling and automatic control. Together with experienced colleagues, you will help develop dynamic models that describe how our machines behave in the customer’s environment, and explore new control strategies to optimize that performance. A typical week is a mix of internal algorithm and idea development (think whiteboards and innovation sessions), testing in our own AI lab, direct collaboration with colleagues, and visits to established customers to test proof-of-concepts in real operating environments. You will work closely with the team to build the algorithms and infrastructure behind our next generation of AI Control. In this role, you will: Improve current calculation and development methods using statistics and insights from live data Explore and analyze large data sets collected from Munters’ systems Find suitable algorithms, perform feature engineering, testing and evaluation of models, and deploy the solution Develop AI models for our machines to describe their dynamic performance Categorize the dynamic behavior of different machines and customers to enable conceptual development for each category Support your colleagues after deployment to maintain the expected performance of AI algorithms Develop frameworks that fulfill the requirements for storing and handling large data sets Build AirTech AI knowledge and utilize AI in conceptual development within AirTech Your profile We believe you: Have a Master’s degree in a relevant field such as data science/AI, mathematics, technical physics, or similar. A PhD (or being close to finishing one) is a merit but not a requirement Have work experience in AI programming (Reinforcement Learning and Deep Learning) and automatic control. A good understanding of data structures and Big Data is a plus, as is technical and physical knowledge Have development experience in R/Python, C# or C++ Have a continuous interest in keeping up to date with AI programming methods and how to implement fast calculation software Are an innovative person who feels comfortable taking the lead in developing a new field for Munters AirTech Are a doer who actively seeks out collaboration and identifies new possibilities, with a clear focus on delivering results — since all research is done in close collaboration with the research team as well as key roles across the organization Have fluent English skills; Swedish is a merit Munters offers you A close-knit, high-performing team with a strong focus on freedom with responsibility – something our colleagues consistently highlight in our employee surveys The chance to work on a concept (AI Control) that is already proven in our products, with a clear path to grow into an expert role High potential for intellectual and professional development, including participation in research conferences and exposure to the latest developments in AI and automatic control An innovative environment with a network of professional colleagues in an international context Hybrid work and many more benefits Information and application In this recruitment, Munters is working with EnHunt. For additional information about the position, please contact Maria Rabb at EnHunt on +46 707775546 or maria.rabb@enhunt.com. About Munters Munters is a world-leading supplier of energy-efficient air treatment and climate solutions. Using innovative technologies, Munters creates the perfect climate for customers across a wide range of industries, the largest being the food, pharmaceutical and data center sectors. Munters has been defining the future of air treatment since 1955. Today, around 5,400 employees carry out manufacturing and sales in more than 30 countries. Munters Group AB reported annual net sales of approximately SEK 15 billion in 2024 and is listed on Nasdaq Stockholm. Visit www.munters.com for more information.

Aldelia Sweden AB

Concrete Carpenter – Boden, Sweden We are looking for experienced Shuttering Carpenters to work on construction, civil engineering and industrial projects in Boden, Sweden. This role may also be known as Concrete Formwork Worker, Formwork Carpenter or Concrete Carpenter, depending on the country. Important: Applicants must have EU/EEA citizenship or another valid right to work in Sweden. Visa sponsorship is not available for this role. Key responsibilities Under the supervision of the Team Leader or Site Supervisor, your main duties will include: · Preparing, setting up and securing the work area and construction site · Reading and interpreting formwork, reinforcement and technical drawings · Building traditional and industrial formwork · Assembling and dismantling formwork panels and shuttering systems · Marking out and setting up structures according to plans · Positioning and fixing reinforcement bars and steel elements · Pouring, vibrating and checking concrete · Manufacturing and installing prefabricated elements when required · Checking alignment, levels and the quality of completed work · Carrying out masonry-related tasks when required · Using site tools and equipment safely · Following HSE procedures and site safety rules at all times · Cleaning and organising the work area after completion Requirements · Qualification or professional training in masonry, formwork, reinforced concrete or a similar construction trade · Proven experience as a Shuttering Carpenter, Concrete Formwork Worker, Formworker, Formwork Carpenter, Concrete Carpenter or similar role · Experience in construction, civil engineering or industrial projects · Good knowledge of traditional and industrial formwork techniques · Ability to read formwork and reinforcement drawings · Knowledge of construction site safety rules · Experience in traditional or industrial masonry would be an advantage · Ability to work at height and in a construction site environment · Good physical condition and ability to work as part of a team · Reliable, organised, autonomous and respectful of deadlines Working conditions and benefits · Contract length: 11 months, with possibility of extension · Flights and accommodation included · Daily food budget provided Job details Job Type: Contract Work location: In person, Boden, Sweden Open to Europeans Only or SWEDISH work permit Basic English or French preferred How to apply You apply through this platform or send your CV to: stegra-recruitement@aldelia.com Only candidates with relevant experience and the required work authorisation can be considered.

RISE Research Institutes of Sweden AB

Har du nyligen tagit examen som civilingenjör och har en passion för forskning? Är du intresserad av att använda avancerade AI-tekniker, optimering och simulering för att lösa utmanande problem? Lockas du särskilt av hur AI och maskininlärning kan förändra kvantitativa analyser och bidra till innovation inom transport och järnväg? Vill du arbeta praktiskt med dessa metoder i projekt kopplade till järnvägs- eller transportsystem? Drömmer du om att delta i spännande forskningsprojekt som formar framtiden? Om oss Vi letar efter en junior forskare till enheten Systems Engineering på avdelningen Mobilitet och System på RISE. Vårt team är i frontlinjen gällande forskning och utveckling inom resursoptimering, AI-baserade beslutstöd och system-av-system. Vi arbetar med AI-baserade beslutsstöd och optimering inom planering och schemaläggning t.ex. för tidtabellsplanering, resursoptimering och fordonsschemaläggning. Vi har ett särskilt fokus på att tillämpa vår expertis inom järnvägsområdet men är också intresserade av andra områden som energi, underhåll och transportsystem. Vår metodologi bygger på avancerad AI och maskininlärning, samt matematik, optimering och operationsanalys. Vi utför tillämpad forskning, kunskaps- och tekniköverföring och innovation genom utveckling av nya tjänster och produkter. Resultat sprids genom partnerskap med företag liksom genom testbäddar, demonstratorer och vetenskapliga publikationer. Om rollen Du förväntas självständigt och tillsammans med kollegor genomföra forsknings- och innovationsprojekt i nära samverkan med industriella och akademiska partner, både i offentligt finansierade projekt och i direktuppdrag från näringslivet. Du kommer på sikt att vara delaktig i ansökningsprocesser liksom i att leda projekt och aktiviteter. Du kommer att arbeta i ett engagerat team med stor individuell frihet. Transportsystemen behöver utvecklas på flera områden för att möta framtida krav på hållbara transporter. Du kommer att bidra till att identifiera möjligheter för förbättrad tillförlitlighet, förutsägbarhet, transparens, effektivitet och resiliens. Inledningsvis kommer du huvudsakligen att arbeta med projekt relaterade till järnväg. Det finns möjlighet att arbeta deltid på distans. Placeringsort är Västerås eller Stockholm. Befattningen kan komma att bli placerad i säkerhetsklass, vilket innebär att säkerhetsprövning kan komma att ske efter anställning i enlighet med säkerhetsskyddslagen. Vem är du? Krav: Civilingenjör med kompetens inom AI, tillämpad matematik inklusive optimering, datavetenskap och relaterade områden Erfarenhet att utveckla/implementera AI och Deep Reinforcement Learning Erfarenhet inom matematisk optimering och järnvägs- och transportsystem är meriterande Programmeringskunskaper i Python eller Java Skicklighet i att presentera och dokumentera ditt arbete på engelska och svenska Goda kunskaper i svenska och engelska i tal och skrift Personliga egenskaper: God förmåga att samarbeta med andra i team Självgående och trivs med att driva dina ansvarsområden framåt Nyfiken och har ett utforskande sätt där du gillar att testa nya saker Är vi rätt för varandra? Inom RISE gillar vi olikheter, och vi är övertygade om att mångfald bidrar till en innovativ miljö där vi tillsammans kan utmana gränser och utveckla ny kunskap och nya färdigheter för framtiden. Vi kan inte lova dig ett lätt jobb, men vad vi kan lova är en spännande resa där vi tillsammans med engagerade och talangfulla kollegor kommer att bidra till en hållbar framtid och att ligga i framkant i den globala konkurrensen. Vill du vara med? Välkommen med din ansökan! Låter detta spännande och du vill veta mer så är du välkommen att kontakta Martin Joborn (enhetschef Systems Engineering) på martin.joborn@ri.se eller +46 705 709 992. Sista ansökningsdag är den 4:e maj. Urval och intervjuer sker löpande under och efter ansökningsperioden. Sök utan personligt brev. Våra fackliga representanter är Ingemar Petermann, SACO 010 228 41 22 och Linda Ikatti, Unionen, 010-5165161.

Mircon Service AB

Mircon Bygg AB is looking for experienced carpenters. Mircon Bygg is a reliable player in the industry, specializing in cast-in-place concrete. We deliver high-quality projects within budget and on schedule, and we work alongside our clients from planning to completion. Our goal is to ensure that the final result exceeds our clients’ expectations. We are specialists in cast-in-place concrete structures and offer complete solutions, from foundations to structural assembly, shelters, and infrastructure projects. With extensive experience, we manage the entire process—from formwork and reinforcement to casting and handover to the client. To create sustainable and efficient solutions, we use, among other things, climate-optimized reinforcement and concrete, thereby making proactive choices to reduce our environmental impact. You are welocome to send your CV to andreas.stockeland@mirconbygg.se. Also send a rating between 0 and 10 on how good you are at reading drawings. Calls from recruitment and staffing companies are discouraged.

Mircon Service AB

Mircon Bygg AB is looking for experienced concrete workers. Mircon Bygg is a reliable player in the industry, specializing in cast-in-place concrete. We deliver high-quality projects within budget and on schedule, and we work alongside our clients from planning to completion. Our goal is to ensure that the final result exceeds our clients’ expectations. We are specialists in cast-in-place concrete structures and offer complete solutions, from foundations to structural assembly, shelters, and infrastructure projects. With extensive experience, we manage the entire process—from formwork and reinforcement to casting and handover to the client. To create sustainable and efficient solutions, we use, among other things, climate-optimized reinforcement and concrete, thereby making proactive choices to reduce our environmental impact. You are welocome to send your CV to andreas.stockeland@mirconbygg.se. Also send a rating between 0 and 10 on how good you are at reading drawings. Calls from recruitment and staffing companies are discouraged.

IntuiCell AB

This is a career-changing opportunity to work alongside world-class engineers and scientists on a mission to reimagine what machines can do. You will help us build the digital nervous system of intelligent agents, not by refining existing tools, but by inventing new systems entirely. Your work will directly shape how intelligent machines learn, adapt, and act in the physical world. We are now extending our models into robotics, where they act as an adaptive layer between higher-level learning systems, such as reinforcement learning (RL) and vision-language-action (VLA) models, and low-level actuators. This layer can significantly reduce the sim-to-real gap and address the core deployment challenges of the real world in general-purpose robotics. The systems you help design will be exercised against real-world constraints and tested on real robotic platforms. To do this exceptionally well, we need deeper, hands-on understanding of the limitations of RL in real systems. You will look into how our model interacts with RL policies in practice and help quantify Intui’s capabilities alongside state-of-the-art RL in real-world deployments. This role is about fixing some of the largest problems within general-purpose robotics today. Our software stack is built from scratch in C/C++. We do not rely on common ML frameworks. We build what we need. The work is deep, interdisciplinary, and exploratory. You will translate theory, papers, and experimental results into robust, real-time systems that can be tested in simulation and, increasingly, on real robotic platforms through partners. What You’ll Do Explore and evaluate RL approaches in the context of robotics and embodied control of humanoid robots as well as other form factors Design and run experiments to understand the underlying model dynamics, limitations, and failure modes, especially while adapting to real-time changes Prototype and test learning-based components into low-level, real-time systems Collaborate with other research engineers to guide model development and research direction through evidence, experiments, and clear reasoning Help us understand what to test, how to test it, and why. What You Bring Strong research background, preferably a PhD, or an exceptional MSc with substantial experience in robotics and state-of-art RL / VLA models Hands-on experience applying reinforcement learning to real hardware Solid understanding of robotics fundamentals, control systems, and physical constraints Systems-level programming mindset, with proficiency in C/C++ or similar low-level languages Ability to translate papers, theory, and experimental ideas into working code and experiments that others can understand, test, and build upon Curiosity and rigor when working in poorly charted territory Bonus Signals Experience with low-level robotic control systems (e.g., PID), real-time systems, or hardware-in-the-loop setups Familiarity with sim-to-real challenges and mitigation strategies Exposure to vision-language-action models or other high-level learning systems for robotics Background in control theory or physics Who You Are Research-driven and comfortable working where answers are unclear Thoughtful, evidence-oriented, and willing to challenge assumptions, including your own Collaborative and generous with insight, not territorial about ideas Motivated by building fundamental capabilities rather than shallow demos

SVERIGES LANTBRUKSUNIVERSITET

Department of Ecology The Swedish University of Agricultural Sciences (SLU) is one of Northern Europe largest academic hubs for ecological research and offers a dynamic and excellent research environment with modern infrastructure. The Department of Ecology has about 150 employees, of whom around 40 work at the Grimsö Research Station in Bergslagen. Together, the SLU Ecology Centre and Grimsö Research Station conduct research on sustainable agriculture and forestry, plant protection, nature conservation, and wildlife management, and provide scientific knowledge to inform Sweden and Europe’s environmental policies.   About the position Project Can we foresee the outcomes of public policies, political choices and other decisions? We are finding out by developing serious games and running them using AI. We are building large-scale simulations of societal processes (environmental negotiations, nature conservation policies, and hybrid-threat scenarios) in which every actor is an autonomous AI agent powered by Large Language Models (LLMs). These agents simulate real-world stakeholders, from government ministers to interest groups, and interact through natural language in complex strategic settings. We then run thousands of iterations to map the distribution of outcomes. This effort is part of a new research program Articulating Complexity ( https://www.slu.se/articulating-complexity/ ) hosted at the Swedish University of Agricultural Sciences (SLU) and led by Guillaume Chapron (Docent). It is funded by grants from the Swedish Research Council (VR), the Swedish Foundation for Strategic Environmental Research (Mistra), and the Swedish Research Council for Sustainable Development (FORMAS). Our goal is to build a novel methodology at the intersection of AI, ecology, political science, and complex system analysis that may change how policies are designed and stress-tested and how governments prepare for crises. We are looking for ambitious research engineer to join this effort. Tasks and duties You will be the person who makes the simulations actually run. Concretely, this means: Building the LLM-agent infrastructure (from an existing working implementation). Each agent has a multi-tier memory and an affect state that modifies both prompts and available actions, and a strategic reasoning layer that tracks reputation, commitments, and mental models of other agents. Extending and maintaining the multi-agent simulation framework. A simulation runs dozens of concurrent LLM instances, communicating through structured message-passing protocols. You will develop and maintain this framework, including the validation methodology. Running large-scale Monte Carlo simulations at scale on GPU-enabled HPC clusters (e.g. NAISS). Publishing and dissemination of the project results. You will co-author scientific publications from the project. The research will produce papers at the intersection of computational social science, ecology, security studies, and AI. You will work closely with the PI (Guillaume Chapron https://www.slu.se/en/profilepages/c/guillaume-chapron/) and a postdoctoral researcher in computational social science (to be recruited concurrently). The three of you will form the core team. Your profile Required A degree in computer science, engineering, physics, applied mathematics, or a related quantitative field. A Master or engineering degree is sufficient; a PhD is welcome but not required. Strong programming skills, especially in Python, and sufficient understanding of machine learning/deep learning to work effectively with modern generative AI systems. Ability to assess and incorporate cutting-edge generative AI developments into the project. Experience with software engineering practices such as version control, testing, documentation, modular design, and reproducible workflows. Ability to work independently, debug complex systems under time pressure, and take ownership of technical infrastructure. Desirable Experience with LLMs, including programmatic use through APIs and local deployment. The candidate should be able to select, configure, adapt, and critically evaluate LLMs for research applications. Experience with deep reinforcement learning, agent-based modelling, or multi-agent systems, including the design of simulation environments, interacting agents, decision rules, feedback mechanisms, and scenario-based analyses. Experience with high-performance computing: batch job submission, GPU workflows, and managing large-scale computational experiments. Interest in the application domain: nature conservation, environmental policy, political science, geopolitics and security studies, complex adaptive systems. You do not need a formal background in these fields, but you should find them interesting. Assessment criteria Applications will be assessed on the following: Demonstrated technical ability. We care more about what you have built, than about what courses you have taken. A GitHub portfolio, a deployed system, a well-documented side project, or a track record of solving hard AI problems will carry more weight than a list of credentials. Autonomy and resourcefulness. This is a small team doing frontier work, so the role requires someone who can diagnose problems independently, make pragmatic technical decisions, and keep complex systems running. If that excites rather than worries you, this is the right position. Collaborative disposition. You will work daily with questions from very different disciplines: ecology, political science, geopolitics. The ability to communicate technical constraints and possibilities to non-technical collaborators is essential. Interpersonal skills will form an important part of the assessment. Location: The position is based either at Grimsö or at Uppsala, with a possibility to be partly based at another academic Swedish institution with a core expertise in AI and machine learning. Form of employment:  Fixed-term employment 12 months with the possibility of prolongation.  Scope: 100%. Start date: As agreed, as soon as possible after recruitment.  Application: Please submit your application before deadline 14 July 2026. You can submit your application by clicking the button below. This is a shortened advertisement. Please refer to the full advertisement on the SLU website for complete information about the position and details on what to include with your application.

Truecaller

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. As an Engineering Manager, you will lead the team behind Truecaller's Recommendations and adVantage, our AI-powered performance advertising platform. It is a multi-disciplinary team of ML engineers, data scientists, backend engineers, and data engineers building the retrieval, ranking, and contextual-bandit systems, and the real-time serving and data infrastructure beneath them, that decides what Truecaller recommends and shows to hundreds of millions of users. The role sits at the intersection of technical depth and people leadership: you will set direction across an applied-ML stack, keep a highly specialized team healthy and growing, and turn a research-heavy roadmap into shipped, reliable systems. What you'll do: * Lead, grow, and retain a high-performing team of ML engineers, data scientists, backend engineers, and data engineers, investing deliberately in each person's development and career path. * Set technical direction across the recommendation and advertising ML stack - retrieval, ranking, contextual bandits, and conversion modeling - along with the real-time serving and data platforms that support them. * Own team planning, prioritization, and delivery, balancing near-term product and campaign commitments against long-term platform health. * Partner closely with product, data science, and other engineering teams to translate business goals - revenue, engagement, advertiser outcomes - into a clear technical roadmap. * Push for reuse: config-driven, composable platforms and closed feedback loops rather than one-off models and pipelines. * Drive rigor in experimentation and evaluation, from offline metrics to online A/B tests, so model changes ship on measured impact. * Keep production systems reliable at scale, owning the latency, quality, and cost of models serving hundreds of millions of users. * Run regular 1:1s, performance reviews, and career development conversations, and recruit and onboard new talent as the team grows. * Stay close enough to the technical detail to make informed calls, unblock your team, and earn credibility with senior ML and backend engineers. What you bring in: * Proven experience leading or managing engineering or ML teams, ideally in recommendations, ranking, ads, search, or a similarly ML-heavy domain. * A solid grasp of applied ML in production - retrieval and ranking, experimentation, model serving, and the data that feeds them - enough to engage credibly on technical trade-offs. You do not need to be the strongest modeler in the room; you need to lead the people who are. * Working knowledge of backend and data engineering practices - architecture, real-time systems, pipelines, and warehousing - enough to reason about the full stack your team owns. * Strong leadership and communication skills, with the ability to align specialists with different skill sets toward shared goals. * A track record of delivering complex technical projects on time and at scale. * Comfort operating in ambiguity and making pragmatic trade-offs between speed and quality. * A collaborative mindset and the ability to work closely with cross-functional stakeholders. It would be great if you also have: * A hands-on background in ML engineering, data science, or backend development before moving into management. * Experience with recommender systems, contextual bandits or reinforcement learning, or performance advertising and ad-serving systems. * Familiarity with large-scale data and ML platforms (Spark, Kafka, Airflow, feature stores, model serving). * Familiarity with cloud infrastructure (GCP preferred; AWS or Azure also fine). * Experience scaling teams in a high-growth tech environment. What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Embark Studios AB

As a Gameplay AI / ML Engineer at Embark, you will be working on ARC Raiders, alongside some of the most talented people in the games industry. We believe that great games are made in creative environments, where builds are always playable, and teams can move fast and test as many ideas as possible. In close collaboration with our designers, you will create easy-to-use systems that enable us to iterate quickly and that encourage experimentation. Our AI team consists of a set of gameplay engineers, working on "classic" gameplay AI, and a set of Gameplay / ML engineers that further expand our tech in what is possible to achieve in AI for games. In this role you will work closely with both our ML team and Gameplay AI team, training, building, innovating and researching new tech that can further advance our emergent AI experience in ARC Raiders. Example of responsibilities  Work closely with stakeholders and game teams to prototype new RL locomotion platforms Research, develop, and train RL models Provide model performance analyses and visualizations Improving our game-side training framework to make it easier to train, create and debug our models and platforms. Look for opportunities to apply new tech in gameplay AI to promote more emergent gameplay Stay current with new research and share that knowledge with the rest of the team We would love if you have A creative and curious mind A strong C++ background Experience in Unreal Engine A strong background in gameplay engineering Can speak "design" Professional English communication skills. Additionally, we think it would be a great bonus if you have Experience designing reward functions Experience training curriculums Experience from implementing and evaluating ML methods Knowledge about reinforcement learning-specific optimization algorithms Some programming skills in Python  At Embark we offer competitive salaries, passionate colleagues to share knowledge with and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together. We welcome game makers of all sex, class, colour, age, gender identity, education, religion, opinion, culture, nation of origin, language, sexual orientation, shape, size, and ability. Did we leave anyone out? Well, we welcome you, too! We think that the gaming industry is made better when everyone has a seat at the table. Be yourself at Embark and make games while doing so. Please apply with confidence. We can’t wait to hear from you (in English)!

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Join us at the Division of Chemical Physics, Department of Physics and Astronomy, and contribute to the development of next-generation artificial intelligence methods for materials discovery and sustainable energy technologies. About us  The Division of Chemical Physics conducts internationally recognized research at the interface of physics, chemistry, materials science, and data science. Our research spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions between faculty, postdoctoral researchers, PhD students, and external partners from academia and industry. The Department of Physics and Astronomy is one of the largest departments at Chalmers University of Technology, with broad activities ranging from fundamental physics to applied research addressing societal challenges in energy, sustainability, and digitalization. About the research project   The project aims to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials to identify new multicomponent optoelectronic materials for energy-conversion applications. The successful candidate will contribute to the development of an autonomous materials-discovery framework capable of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for  We seek a highly motivated and independent researcher with a strong interest in artificial intelligence, computational materials science, and scientific software development. Mandatory qualifications A doctoral degree in Physics, Materials Science, Chemistry, Chemical Engineering, Computer Science, Applied Mathematics, or a closely related field, or an equivalent foreign degree. The degree must be awarded no later than the time the employment decision is made. Strong written and verbal communication skills in English. Experience in machine learning, scientific computing, computational physics, computational chemistry, or related fields. Experience with Python programming and modern scientific software development. Ability to work independently while contributing effectively to collaborative research projects. Strong analytical and problem-solving skills. Good interpersonal skills and a demonstrated ability to collaborate in interdisciplinary teams. You are expected to have some experience with teaching or supervision and to demonstrate strong potential for future development in both research and education. Meritorious qualifications It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline. Experience with machine learning for scientific applications. Experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with atomistic simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do  As a postdoctoral researcher, you will: Develop machine-learning and AI methods for materials discovery. Design and implement active-learning workflows for autonomous exploration of materials spaces. Develop and evaluate generative AI models for inverse materials design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI models. Publish research results in leading international journals and present findings at international conferences. Contribute to the development of open and reproducible scientific software. The position also includes: Supervision of master's students and, to some extent, PhD students. Opportunities to contribute to teaching at undergraduate and master's levels. Collaboration with national and international academic and industrial partners. Contract terms   The position is a temporary full-time employment for two years with the possibility of a one-year extension.  The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.  What we offer  As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about  working at Chalmers  and our benefits for employees.  A dynamic and inspiring working environment in the coastal city of Gothenburg.  Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg.  Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.  If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.  Application procedure  The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.  CV  A comprehensive CV, including a complete list of publications.  Details of previous teaching and pedagogical experience.  Personal letter  A brief introduction about yourself.  A summary of your previous research fields and key research outcomes.  An outline of your future goals and research focus.  Use the button at the foot of the page to reach the application form.       A background check may be conducted as part of the application process.     Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.    We welcome your application no later than 17 July  For questions please contact:  Anders Hellman Professor  anders.hellman@chalmers.se

JOPISO AB

Vilka är vi? Alba-Camp har bedrivit verksamhet för ungdomar i närheten av Göteborg sedan 1981. Vårt mål har alltid varit att skapa ett tryggt sammanhang där vi fokuserar på och stärker det som fungerar. Allt arbete sker i samarbete med de ungdomar vi möter med målet att öka ungdomarnas känsla av delaktighet, sammanhang och självständighet. På Alba-Camp får ungdomarna möjlighet att ta ansvar på samma gång som det alltid finns vuxna att ta hjälp och stöd av. Vårt grundtänk är att alltid hitta individuella lösningar utefter de behov som varje ungdom har. Möjligheten till eget boende i kombination med hög vuxennärvaro är det som gör Alba-Camp till ett annorlunda HVB-hem. Vårt bemötande och förhållningssätt präglas av respekt, ödmjukhet, tydlighet och nyfikenhet. I nuvarande lokaler har vi funnits i drygt 10 år och det behandlingsarbete vi bedriver är helt unikt i HVB-sammanhang. Unikt på så sätt att ungdomarna slipper dela på personal med andra ungdomar eftersom vi möter alla ungdomar en-till-en och de bor i helt egna fullt utrustade lägenheter. Utifrån de förutsättningarna slipper vi också affektsmitta mellan ungdomarna vilket skapar en trygg och lugn bas för ett gott behandlingsarbete. På grund av att ungdomarna inte delar sina utrymmen har vi en blandning av olika problematik i ungdomsgruppen vilket kräver ett flexibelt förhållningssätt och ett brett tänk i behandlingsarbetet. Vi arbetar med ungdomar som har neuropsykiatriska funktionsnedsättningar, tidigare missbruksproblematik, antisocial beteendeproblematik och ungdomar som är uppvuxna med briser i omsorgen. Våra ungdomar är mellan 16 och 23 år. Allt behandlingsarbete på Alba-Camp genomsyras av den värdegrund och behandlingsfilosofi som finns med en teoretisk bas i KBT. Personalen handleds av legitimerad psykolog och KBT-terapeut i processhandledning för att hela tiden kunna applicera teoretiska modeller i det praktiska arbetet med ungdomarna. Som förhållningssätt används motiverande samtal(MI), lösningsfokuserad korttidsterapi(LÖFO) och miljöterapi. I det dagliga behandlingsarbetet erbjuder Alba-Camp även manualbaserade behandlingsmetoder utifrån den enskilde individen som kopplas på vid behov. I dagsläget erbjuds återfallsprevention(ÅP), strukturerade MI-samtal utifrån KBT, ART och REPULSE. Vem söker vi? Vi söker en erfaren ungdomsbehandlare som känner sig trygg i arbetet med ungdomar och som känner sig trygg i att planera, genomföra och följa upp behandlingsarbete. Du ska ha förmågan att se bakomliggande strukturer i ungdomarnas beteenden tidigt och utefter det bedriva behandling med beprövade metoder. Vi ser att du gillar att vara en del av ett team där där alla får komma till tals. Vi är en liten arbetsplats och det krävs av dig att du är flexibel och att du är trygg med att arbeta i en liten organisation. Du har minst en tvåårig eftergymnasial utbildning som socialpedagog eller annan utbildning som arbetsgivaren bedömer som likvärdig. Meriterande med en akademisk examen. Du ska även ha gått vidareutbildningar inom de behandlingsmetoder du känner dig trygg i att använda. Meriterande om du har utbildning i följande behandlingsmetoder: MI(Motivational interviewing) Återfallsprevention MET(Motivational Enhancement Therapy) CRA(Community Reinforcement Approach) KBT Miljöterapi Lösningsfokuserad korttidsterapi(LÖFO) Repulse ART(Aggression Replacement Training) ACT(Acceptance and Commitment Therapy) Om arbetet Tjänsten är en tillsvidareanställning på heltid förlagd på en fast schemarad som innebär arbetspass dagtid, kvällstid och helger. Vi tillämpar 6 månaders provanställning. Arbetet kräver god dokumentations- och analytisk förmåga. Du kommer att ingå i ett team med 6 ungdomsbehandlare. Arbetet kan vara både psykiskt och fysiskt tungt i perioder och det krävs av dig att du är trygg som person och har en stabil tillvaro privat med plats för återhämtning. Ansökningar där minst två års eftergymnasial och annonserad yrkeserfarenhet saknas kommer inte att besvaras i enlighet med våra kompetenskrav. Stor vikt läggs vid personlig lämplighet. I samband med anställning görs ett utdrag ur polisens misstanke- och belastningsregister. Skicka CV och personligt brev till nedan angiven e-post och var noga med att ange rätt referens i ämnesfältet.

CERN

Ideal start date: 01/10/2026 Contract duration (in months): 36 Grade range: 3 Benchmark job: 300030 - Computing Technician Job flexibility: Fully Onsite What you'll do: You will contribute to the planning, deployment, operation and maintenance of a modern and high-end hybrid conference infrastructure consisting of nearly 200 meeting rooms and 13 auditoriums used every day by thousands of people at CERN. Working with users, technical teams and external contractors, you will coordinate audiovisual installations and refurbishments, ensure the standardisation of AV equipment, support the deployment of new technologies and contribute to the continuous improvement of conferencing services. Your responsibilities: - Ensure the standardisation of AV equipment across conference and meeting rooms (projectors, LCD screens, video/audio conferencing systems, sound reinforcement and interpretation systems) and maintain an active technology watch to recommend the most suitable AV solutions. -Coordinate the design, installation and renovation AV systems in compliance with CERN technical standards, including the programming and maintenance of Extron and Crestron equipment controllers. -Establish and maintain the master plan for the renovation of AV equipment in meeting rooms and auditoriums, including equipment selection, installation design, commercial offer analysis and coordination with other services involved in room renovation. -Coordinate the work of external contractors, including equipment installers and operational support teams, organise site visits, ensure maintenance and operational interventions, and manage AV maintenance contracts. Provide third-line technical support, identify and resolve complex technical issues, collaborate with webcast, recording and video conferencing services, and contribute to the continuous improvement of conferencing services. Your profile: Proven experience in the design, installation and maintenance of AV conference rooms and auditoriums, with proficiency in AV control platforms (Extron, Crestron) and design tools (AutoCAD or equivalent). Experience in coordinating technical teams, managing contractors/contracts, and in client relations and user technical support. Networking knowledge including the OSI model, Ethernet, TCP/IP, Dante, Art-Net, etc. Higher Technical diploma or equivalent relevant experience in the field of Audiovisual Engineering, with a specialisation in Audio and Video Technology or a related field. Your skills: -Audio-visual production: in-depth knowledge of audio/AV equipment, conference systems, acoustics and video conferencing tools. -Use of office software packages: (MS Office, web interfaces, AutoCAD or equivalent). -Contract management: and stakeholder relations. -Programming of automated Extron and Crestron controllers. -Networking and communication protocols (TCP/IP, Ethernet, Dante, Art-Net etc). -Awareness of emerging AV and video conferencing technologies. -Has a structured and organised approach towards work; is able to set priorities and plan tasks with results in mind. -Adapts quickly and resourcefully to shifting priorities and requirements. -Works well in groups and readily fits into a team; participates fully and takes an active role in team activities. -Identifies, defines and assesses problems, takes action to address them. -Is able to put self in the shoes of others in order to understand their needs and interests. -Spoken and written English or French, with a commitment to learn the other language. Medical hazard: Exposure to risk of falling from heights during scaffolding assembly and dismantling operations. Given the occupational health risks associated with this position, the selected candidate must obtain medical clearance before a contract offer is confirmed.