ML Engineer Agents & Reasoning

### About the Role We are a seed-stage deeptech startup at the intersection of AI, robotics, and materials science, building an advanced platform that dramatically accelerates the discovery of new materials — particularly for the energy sector. Our work combines physics-informed AI, autonomous laboratory systems, and rich multi-modal experimental data to compress decades-long R&D timelines into years. As an **ML Engineer, Agents & Reasoning**, you will design and build the agentic AI systems that sit at the heart of our materials discovery workflows. You'll turn predictive models into reliable, operational decision-making agents that work alongside physical experiments, robotic systems, and scientific datasets. This is a high-ownership, end-to-end role on a small, cross-functional team of ~12–60 people based in **Berlin, Germany** (on-site). _Please note: visa sponsorship is not available for this role._ ### What You'll Do * Design and implement agentic systems that plan, reason, and act across real materials discovery workflows. * Build decision-making systems that operate over experiments, simulations, and scientific datasets. * Select next actions under uncertainty and encode when autonomy should act versus when a human should stay in the loop. * Implement planning, control logic, and uncertainty-aware decision-making tailored to physical systems and lab environments. * Encode operational, experimental, and safety constraints directly into agent behavior. * Define stopping criteria, fallback strategies, and recovery mechanisms to prevent brittle behavior. * Collaborate with AI researchers to embed predictive models into agent workflows and translate model outputs into executable actions. * Integrate agents with laboratory automation and software systems so agent outputs drive real-world actions. * Instrument agents with logging, monitoring, and diagnostics to support observability and debugging. * Build evaluation frameworks that assess decision quality, learning efficiency, and system behavior — beyond simple model accuracy. * Analyze failure cases and iterate on system design based on real-world experimental outcomes. * Own systems end-to-end: from prototype through deployment and ongoing operation. ### What We're Looking For **Required** * 4–8 years of experience building ML-driven or algorithmic decision-making systems in production or applied research settings. * Strong background in scientific or structured data modeling (rather than language-first or NLP-heavy systems). * Experience with planning, control, optimization, probabilistic reasoning, or decision-making under uncertainty. * Proficiency in modern ML frameworks such as **PyTorch** or **JAX**, paired with strong general software engineering skills. * Comfortable owning systems end-to-end, from early prototype through to reliable production operation. * Ability to reason clearly about system behavior in complex, partially observable environments. * Clear communicator who can collaborate effectively across AI, engineering, and scientific teams. * English fluency (additional language skills a plus). **Nice to Have** * Technical curiosity about physical systems, laboratory experiments, and real-world constraints. * Experience in materials science, chemistry, cleantech, or adjacent scientific domains. * Familiarity with laboratory automation or robotics integration. * Additional European language skills (German in particular). ### Location & Work Arrangement This role is **on-site in Berlin, Germany**. We work closely as a team in person, and we expect this role to be based full-time at our Berlin office. _Visa sponsorship is not available._ ### Why This Role * Work on genuinely hard AI problems at the frontier of scientific discovery and physical-world autonomy. * Join an early-stage, mission-driven team where your work directly shapes both the product and the culture. * Collaborate across AI research, engineering, and laboratory science in ways that are rare in a single role. * Contribute to technology with meaningful real-world impact in the energy transition and advanced manufacturing. Find more [English Speaking Jobs in Germany](https://www.arbeitnow.com/english-speaking-jobs) on Arbeitnow