ML Ops / Data Engineer - Robotics

Jua

OVERVIEW Physical AI, a real model of the world, is the next trillion dollar opportunity and a foundational pillar for energy, robotics and superintelligence. At Jua we are building it now. Our models already run on four continents and help power the energy buildout needed to support ever larger intelligence. We are assembling a world-class team of researchers and entrepreneurial minds to turn this model into reality at global scale. If you want the opportunity of your life, come build physical AI with us. WHAT WE’RE LOOKING FOR We’re hiring a front-end–leaning full-stack engineer to help define and build the future of our platform. You should have a strong sense of design, deep empathy for users, and a general grasp of machine learning or the latest AI technologies. You don’t need to be a researcher or a math prodigy for this role, but we are specifically looking for candidates who approach problems from first principles and thrive in a culture that grants significant individual responsibility. We value people who are deeply curious about how systems fundamentally work—whether it's computers, satellites, AI, societies, or human psychology—and who are eager to collaborate with other exceptional individuals to broaden their perspective even further. You’ll thrive here if you’re driven to push the boundaries of the current state-of-the-art and expand human knowledge in forecasting and simulating the future. If you believe that hard work leads to outsized returns, enjoy taking ownership and building exceptional products, and have a talent for transforming complex systems into clear, fast, and elegant experiences, this is the place for you. Jua is currently evolving its core platform into two focused products: * A developer-focused API platform designed for integrators and quants to access our prediction models & data products for their daily trading operations. These users care about simple, smart and clean interfaces, low-latency data, and seamless integration via our SDK. * An AI-native product built for decision-makers like traders and meteorologists who want answers, not just data. Think of a geospatial reasoning layer for planet earth. This product uses agents based on language models to interact with our simulation models to deliver insights and decision support. You’ll simplify complexity for non-technical users while enabling technical users to work with precision and control. Location: Although we are a global team, it is a requirement that applicants are currently based in Zurich, Switzerland, working on a Hybrid working model. OUR TECH STACK * Frontend: TypeScript, React & Tailwind * Design: Ultra minimalistic, lightweight design system. For some time now, we've entirely skipped the classic Wireframe–Figma–Component workflow and just vibe code most frontend components directly. * Visualization: ECharts, Three.js, Mapbox, Plotly, Deck.gl for map-heavy and time-series UI * Backend: Python, FastAPI, WebSockets, gRPC endpoints, little bit of rust, Zarr & Clickhouse SQL db * ML Interfaces: Real-time inference, model metadata, probabilistic forecasts, & geospatial datasets RESPONSIBILITIES AND TASKS * Own and shape full features and products end-to-end to support multiple products, user personas, and evolving data needs by building reusable UI components * Build intuitive, high-performance UIs for both technical users and decision-makers with a focus on clarity and responsiveness * Develop rich interfaces for time-series, geospatial, and probabilistic data, turning raw model outputs into decision-support tools * Collaborate with researchers and engineers to make complex model outputs usable and understandable NEED-TO-HAVE * 4+ years of front-end engineering with React and TypeScript * Strong aesthetic sensibility and user-centered design mindset * Proven ability to ship fast, accessible, maintainable UIs at a high-quality bar * A desire to understand domain-specific workflows in energy, weather, or trading, and use that knowledge to build better interfaces * Exposure to data or ML APIs and eagerness to integrate model outputs into production UIs * Familiarity connecting React front ends to Python backends (FastAPI, WebSockets, gRPC) NICE-TO-HAVE * Experience building products for expert users in domains such as energy trading, quantitative finance, or ML-ops ABOUT YOU * You take initiative and drive outcomes. You don't wait for direction. You identify challenges and opportunities, take ownership, and act decisively * You’re pragmatic and resourceful. You're deeply technical and think clearly under pressure, but you prioritize progress over perfection. You work within constraints, solve real problems, and make smart trade-offs * You thrive in a fast-paced team. We work extremely hard to be the fastest in our field, speed and excellence are non-negotiable. You’ll be surrounded by overperformers in every discipline, and we expect the same from you. If you don’t consider yourself among the best in your field, Jua likely isn’t the right fit. * Our feedback culture is radically transparent and truth-seeking. This can be intense if you’re more used to comfort than candor, but for those who thrive on challenge, it’s an environment where you’ll grow fast and do the best work of your career. * You obsess over the user. You care as much about the “why” as the “how,” and you want to build tools people truly love to use WHAT’S IN IT FOR YOU * Own and ship fast. Work in a product culture where engineers drive decisions, move from idea to production quickly, and see their impact in days, not quarters. * Join a mission-driven company. Apply cutting-edge ML to global climate and energy challenges, an impact-first alternative to profit-only tech or finance roles. * Work on groundbreaking technology. Be at the forefront of weather forecasting and machine learning, contributing to innovations that push boundaries. * Collaborate in a high-agency team. Pair with experienced engineers and researchers in a hybrid environment that balances flexibility with in-person work. * Shape a meaningful industry. Build solutions for the energy-trading sector, using AI to drive real-world change and influence the future of global markets. Please note: We prioritise your answers to the application questions over your CV, so we encourage you to complete them as thoughtfully and thoroughly as possible. At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.

Sigma Connectivity AB

Jobbeskrivning Sigma Connectivity’s Edge AI initiatives span multiple domains—computer vision, audio intelligence, sensor fusion, and embedded ML—delivering low‑latency, privacy‑preserving intelligence directly on devices across diverse hardware platforms. Projects routinely involve developing and optimizing ML models for tasks such as gesture recognition, defect detection, object tracking, and contextual human‑machine interaction, deployed on edge hardware including Qualcomm, NVIDIA, NXP, and other MCU‑class systems. Work includes quantization, DSP/NPU acceleration, real‑time analytics, and combined cloud–edge pipelines that enhance precision while keeping compute close to the data source. We are looking for a skilled ML Engineer to join our growing team and contribute to the development of advanced edge AI solutions. Your work will include - Model Design and Deployment: On-Device Design, train, and validate ML models for computer vision, sensor fusion, signal processing, and predictive analytics. Develop and optimize ML pipelines for on‑device inference, including quantization, power/performance tuning, and DSP/NPU acceleration. Monitor, test, and optimize the performance of deployed models to ensure accuracy, scalability, and maintainability. Data Processing & Analysis Build data ingestion, preprocessing, and feature‑engineering pipelines for both edge and hybrid (Edge + Cloud) deployments. Extract, process, and analyse large datasets to generate actionable insights and continuously improve model performance. Collaboration Work with cross‑functional teams—architects, embedded developers, PMs, UI/UX, and customers—to develop and integrate ML functionality into real products. Participate in prototyping, PoCs, and contribute to customer dialogues and technical presentations. Participate in technical discussions, document your work, and clearly explain the trade-offs and decisions behind the solutions you present. Stay Current Keep up to date with the latest trends, tools, and technologies in AI/ML to ensure our solutions are cutting-edge. We are looking for - Strong hands‑on experience in Python, ML frameworks such as PyTorch or TensorFlow, and classical CV libraries (OpenCV, scikit‑learn). Ability to build and deploy ML models for Edge or Embedded platforms, preferably with experience on Qualcomm, Nordic, NXP, or similar SoCs. Familiarity with quantization, model compression, benchmarking, and inference profiling on constrained hardware. Experience with data pipelines, including data validation, augmentation, and performance analysis. Understanding of end‑to‑end ML lifecycle, including experimentation, evaluation, and deployment in production environments. Master’s or PhD in ML, Robotics, Autonomous Systems or related fields. 2+ years of hands-on experience developing and deploying ML models in production. Proven experience in one or more of:Computer vision Time‑series or sensor‑data ML LLM‑based or hybrid AI systems Effective communication skills and experience working in cross-functional teams. Passionate about staying up to date with emerging technologies, methodologies, and industry trends in AI/ML. Bonus: Knowledge of MLOps, FastAPI, Docker, CI/CD, and cloud platforms such as Azure or AWS We Provide - Cutting-Edge Projects: Opportunity to work with industry-defining technologies in terms of applied research and pushing functional boundaries. Vibrant Work Environment: We have technical experts from 25 nationalities as part of our team and disruptive ideas are a daily occurrence whether it is a groundbreaking mesh technology, a radical approach to manage power and performance on edge devices, or creative solutions to enhance model efficiency. Work-Life Balance: We understand the importance of balancing work and personal life. Our flexible work hours and remote work options help you maintain this balance. Competitive Pay: We offer a salary that aligns with industry standards, ensuring you are fairly compensated for your skills and experience. Generous Vacation Time: Enjoy a healthy work-life balance with 25 days of annual paid vacation. We believe time off is crucial for your well-being and productivity. Health and Wellness Benefits: Dedicated yearly health and wellness allocation.

Talkspace

At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone! We are looking for an experienced Senior AI Engineer to join our team. The Senior AI Engineer will be a pivotal technical leader, responsible for designing, building, and scaling the autonomous AI agents that form the core of our behavioral health platform. This role requires deep expertise in developing complex, multi-agent systems, leveraging Large Language Models (LLMs) for reasoning, planning, and goal setting, and applying Reinforcement Learning (RL) techniques to model and influence human behavior safely and ethically. You will drive the entire lifecycle of our agents—from developing cognitive architectures and interaction models to ensuring their robust, high-availability deployment and continuous learning in a production environment. Given the sensitivity of behavioral health, this role demands an exceptional focus on safety, ethical autonomy, transparency, and data privacy. The ideal candidate is a seasoned engineer who can bridge the gap between theoretical AI (specifically RL and planning) and real-world, scalable, and impactful user interactions. To work at Talkspace, you need to be as passionate as we are about our work, and excited to partner with us on delivering quality mental healthcare. Talkspace HQ is in NYC; this position is based in Eastern Standard Time.  What You’ll Do * Autonomous System Architecture: Design and implement the technical architecture for Tee's core AI agents, including the development of planning modules, memory/retrieval systems, goal-setting algorithms, and tool-use orchestration. * Reinforcement Learning (RL) for Behavior: Apply advanced RL, Inverse RL, or related control theory methods to develop agents capable of adaptive, long-term intervention strategies that maximize positive user outcomes while minimizing risk (e.g., optimizing interaction sequencing, timing, and content). * LLM Integration and Fine-tuning: Select, fine-tune, and deploy foundation models (LLMs) to power agent reasoning, natural language understanding, and empathetic, context-aware communication with users. * Complex Interaction Modeling: Develop models for human-agent interaction (HAI), incorporating principles from cognitive science and behavioral economics to ensure agents are effective, trustworthy, and aligned with therapeutic protocols. * Simulated Environments: Construct robust simulation environments for pre-training and testing agent policies, ensuring system stability and safety across a wide range of psychological and behavioral scenarios. * Performance and Resilience: Optimize the deployment environment to manage the computational demands of multi-agent orchestration, ensuring low-latency decision-making and high system resilience. * Technical Strategy: Lead the evaluation and adoption of new agentic frameworks, reasoning technologies, and system design patterns that position Tee as a leader in autonomous behavioral health technology. * Agent Evaluation & Observability: Design and implement comprehensive evaluation pipelines for multi-agent orchestration—including visualisations, trace-level analysis of LLM calls and tool invocations, offline evaluation against golden datasets, real-time production monitoring for behavioral drift and outcome correlation, guardrails, and human-in-the-loop annotation workflows. Establish metrics frameworks to assess reasoning quality, task completion, safety compliance, and task alignment across the full agent lifecycle. About You  * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a highly quantitative field. * Minimum of 5+ years of experience in a production software engineering environment, with at least 3+ years specifically focused on designing, implementing, and deploying complex machine learning or autonomous systems. * Exceptional Python Programming Skills: Mastery of Python and its scientific libraries. * Production MLOps Expertise: Demonstrated experience building and managing CI/CD pipelines for ML models and integrating them into service-oriented architectures (SOA). * Autonomous/Agentic Systems: Strong theoretical understanding and practical application of techniques central to agentic AI, such as Reinforcement Learning (RL), planning algorithms, or complex decision-making systems. * LLM Deployment: Hands-on experience fine-tuning, deploying, and managing Large Language Models (LLMs) in a production environment, including knowledge of prompt engineering, retrieval-augmented generation (RAG), and cost optimization. * Software Engineering Rigor: Proven ability to write high-quality, maintainable, scalable, and well-tested production code. * Proficiency with cloud infrastructure (AWS, GCP) and containerization technologies (Docker, Kubernetes). Benefits  * Comprehensive Medical, Dental and Vision plans coverage since day one * Pre-tax benefits: HSA/ FSA * 401k Retirement Savings Program with matching up to 4% * Voluntary benefits including disability, basic life or pet insurance, etc. * Monthly Wellness Stipend to promote mental and physical self-care * Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and Team Building Events * Free access to Talkspace products for you and one household member, as well as access to a friends and family discount!  Compensation At Talkspace, we believe that pay transparency during the interview process is a critical part of diversity, equity, and inclusion. Our salary bands are based on internal and external compensation benchmarks, which we regularly evaluate to ensure we pay competitively. The base salary range for this role is between $169,000 and $200,000. Within the salary bands, leveling corresponds to each candidate’s relevant experience, skills as assessed during the interview process, education, and applicable certifications.  Why Talkspace?  Talkspace is the world’s leading online therapy company, serving over 2 million users looking to begin their wellness journey through tele-health. According to the World Health Organization, close to 1 billion people worldwide live with a mental disorder, and on average more than 75% with mental, neurological, and substance use disorders receive no treatment for their condition at all. Additionally, one-third of the world’s population – 2 billion people – live in countries that spend less than 1% of their health budgets on mental health. Therapy is an universal need and it's our mission here to change the world by cultivating an intentional space for people to feel supported through quality care that is simple and accessible. Combining our passion for innovation along with our desire to help others overcome the stigma behind “getting help,” we are transforming the way patients find the right care provider, making an otherwise impossible feat easily conquerable. Our network of licensed, accredited, and board-certified clinicians are increasing access to mental health for our members through a myriad of high quality therapy services: anytime and for a fraction of the price. Dedicated to our mission, we are looking for candidates that want to bring their talents into a diverse  “for purpose” space. If you’re equally as passionate about making quality mental healthcare accessible to all then Talkspace is the right place for you! EQUAL OPPORTUNITY EMPLOYER Talkspace welcomes and celebrates talent from all backgrounds, perspectives, and walks of life to foster an innovative and diverse workforce. We encourage you to apply, even if you don’t meet every qualification or if your path has been nontraditional — such as not completing a formal degree program, taking a career break, or having a prior criminal record — if you believe you could make a great addition to this team. Come as you are and learn about the exciting opportunities on our team. Individuals seeking employment at Talkspace are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. How do we define Diversity, Equity, Inclusion, and Belonging at Talkspace?  Diversity Diversity encompasses the unique attributes of our employees as individuals. We value and embrace the richness arising from their varied backgrounds, perspectives, and experiences, which include, but are not limited to, age, ability, ethnicity, gender, race, and cultural background. Equity Equity refers to a fair and impartial workplace, aiming to ensure equal growth and advancement opportunities for all employees. This involves amplifying underrepresented voices, addressing unconscious biases, and providing inclusive, culturally competent mental health care. Inclusion Inclusion signifies the practice of granting equal access to opportunities and resources for all employees, particularly those who might otherwise be excluded or marginalized. It ensures that everyone feels a sense of belonging, value, support, and respect as an individual. Belonging Belonging reflects the affinity and positive relationships that develop among employees from diverse backgrounds when businesses actively promote diversity, equity, and inclusion in the workplace.