Applied Scientist - All Levels

Constructor

OUR MISSION Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.  With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. PLEASE SEND YOUR RESUME IN ENGLISH ONLY. BRIEF JOB DESCRIPTION: Researches and prototypes the capabilities that power Constructor’s education products — applying AI and quantum through an education lens to improve how people teach, learn, and do research, rather than pursuing AI or quantum science as an end in itself. Forms hypotheses, designs and runs experiments, interprets results, and turns validated findings into working code that feeds product and engineering pipelines. Works independently, sets its own research agenda within the broader product strategy, and produces high-quality work that moves the platform and its users forward. Works closely with research associates, ML engineers, and technical leadership to make sure the work has real-world impact across the AI software development project. Requires 7+ years of applied research experience — ideally in education technology or applied AI — with a track record of turning research into products that ship. MISSION: Set and pursue a research agenda that produces results worth shipping — then make sure they land in the products and engineering pipelines that depend on them. EDUCATION: * PhD in Computer Science, Physics, Mathematics, or a related field — or equivalent applied research experience. A track record of impact through research that shipped into products, patents, or publications. DUTIES AND RESPONSIBILITIES:  * Set a research agenda aimed at real product and platform problems, within the broader strategy. * Design and run rigorous experiments; interpret results and decide what to take forward. * Turn validated findings into proof-of-concept code, drive it to production, and benchmark its impact in real products. * Deliver results as working proof-of-concept code first; reports, publications, or patents follow only where they add value — never in place of running code. * Mentor research associates, guide experimental direction, and partner with ML engineers to ship the work. QUALIFICATIONS AND EXPERIENCE: * 7+ years of applied research or research-engineering experience — ideally in education technology or applied AI. * Proven track record of research that reached production or had measurable real-world impact (publications/patents a strong plus). * Deep expertise in experiment design, modelling, and result interpretation. * Strong hands-on coding (Python, PyTorch) — ships runnable proof-of-concept code, not just designs; reproducible work via version control (GitLab) and experiment tracking (MLflow). * Able to work autonomously and balance scientific rigour against shipping speed. NICE TO HAVE (NOT OBLIGATORY): * Track record of moving research into production ML systems at speed. * Experience with AI-for-education products, or a quantum computing / quantum machine learning background. * History of mentoring researchers or leading a small research team. WHAT WE OFFER * 💻 Choice of work equipment (e.g., laptop, monitor, etc.) * 🇬🇧 English classes (iTalki – $130 monthly) * ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00 CET or EET) * 👶 Newborn bonus (€500 per child) * 🧠 Patent remuneration * 🌴 Paid leave * 🧑‍💻 Remote work in locations without our offices * Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

PhysicsX

ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. PHYSICSX IS STARTING A RESEARCH TEAM IN SINGAPORE TO BUILD PHYSICAL FOUNDATION MODELS ALONGSIDE OUR CUSTOMERS AND PARTNERS, TARGETING ENGINEERING DOMAINS WHERE THIS CAPABILITY WILL BE MOST TRANSFORMATIVE. WHAT YOU WILL DO  * Work closely with our research scientists, simulation engineers, customers and partners to deliver AI models that address real-world physics and engineering problems. * Design and build physical foundation models with a focus on efficiently scaling model training to large data on multi-GPU cloud compute. * Transform prototypes from your research scientist colleagues into robust and optimised implementations, challenging architecture decisions that hurt scalability. * Identify and argue for the best libraries, frameworks and tools to set us up for success. * Own Research work-streams at different levels, depending on seniority. * Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. * Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products. * Foster curiosity and initiative among your colleagues and mentees.   WHAT YOU BRING TO THE TABLE * Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. * Ability to work autonomously and scope and effectively deliver projects across a variety of domains. * Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. * Excellent collaboration and communication skills — with teams and customers alike. * MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: * Scientific computing; * High-performance computing (CPU / GPU clusters); * Parallelised / distributed training for large / foundation models. * Ideally, >2 years of experience in a data-driven, professional setting, with exposure to: * scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); * distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); * cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); * building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; * C/C++ for computer vision, geometry processing, or scientific computing; * software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); * container-ization and orchestration (Docker, Kubernetes, Slurm); * writing pipelines and experiment environments, including running experiments in pipelines in a systematic way.   WHAT WE OFFER Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: As a Principal Applied Scientist at Parloa, you will define and drive our applied AI strategy across AI agents and Generative AI. This is a highly hands-on and high-impact role at the intersection of research and production. You will explore, validate, and scale approaches that directly shape our product, from model evaluation and routing to agent behavior, memory, and context engineering, while defining how these systems should be measured, benchmarked, and improved across the industry. Beyond execution, you will act as a technical leader: identifying opportunities, setting direction, and building the foundations of applied science at Parloa.   AREAS OF OWNERSHIP: * Define and lead applied AI initiatives across agent systems, LLM evaluation, and model optimization * Own ambiguous problem spaces end-to-end: from framing and experimentation to production impact * Design and implement evaluation & benchmarking frameworks, leveraging and challenging industry standards — and where needed, defining new ones * Drive innovation in agentic systems, including topics like routing, memory, and context engineering * Prototype and validate new approaches (e.g., model combinations, fine-tuning strategies, or open-weight models) * Translate research into production-ready solutions, working closely with engineering teams * Act as a technical authority and multiplier, mentoring others and shaping best practices * Establish and lead the Applied Science guild, fostering knowledge sharing and raising the bar across teams * Influence product and technical strategy, identifying where applied science can unlock the most value WHO YOU ARE: * 12+ years of overall experience in Applied Science or related fields, including at least 5 years of hands-on experience in ML/AI, with a proven track record of delivering systems in production * Experience with agent-based systems or multi-step LLM workflows * Strong recent experience working with LLMs and Generative AI systems, ideally in production environments * Demonstrated ability to own and drive ambiguous problem spaces end-to-end—from problem framing to measurable impact * Deep understanding of evaluation methodologies, benchmarking, and model performance analysis, including human-in-the-loop approaches * Hands-on technical skills, with the ability to prototype, experiment, and ship solutions in collaboration with engineering teams * Experience working on production systems, balancing speed, quality, and scalability * Proven technical leadership and influence, with experience shaping direction, mentoring others, or driving cross-team initiatives * Ability to operate at both strategic and execution levels, connecting long-term vision with day-to-day decisions * Strong communication skills, with the ability to clearly articulate ideas and influence technical and non-technical stakeholders * Evidence of broader impact (e.g., published work, open-source contributions, internal initiatives, or industry influence) is a plus We know that great candidates don’t always meet every single requirement. If you’re excited about this role and believe you could make an impact, we encourage you to apply, even if your experience doesn’t perfectly match every qualification. NICE TO HAVE * Familiarity with model routing, fine-tuning, or open-weight models * Background in human-in-the-loop evaluation or annotation systems * Contributions to public research, blogs, or open-source projects OUR RECRUITING PROCESS: Talent Acquisition → Technical Peer Interview → 360° Technical Interview Loop → Bar Raiser WHY PARLOA? We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale — and want your work to matter in real, everyday moments—this is where you do it. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.   ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.