ML Engineer, Agents & Reasoning

Job details

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Not provided by source

Salary

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Location

Berlin

Job description

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 on Arbeitnow