ML Engineer, Agents & Reasoning is a Machine Learning Engineer role (full-time). with Dunia. in BERLIN, DE. Imported listing (source: atlas.now). Apply on the employer's site (atlas.now).
Imported listing (source: atlas.now) · Apply on atlas.now
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Imported job description
Sourced from atlas.now
Dunia is hiring an ML Engineer to build agentic AI systems that reason, plan, and act within real materials discovery workflows. You will design agents that operate over experiments, simulations, and scientific datasets, making decisions under uncertainty and recovering from failure. The role sits at the boundary between cognition and control, requiring close collaboration with AI researchers, lab teams, and software engineers to turn models into executable actions.
Responsibilities
Design and implement agentic systems that plan, reason, and act across materials discovery workflows
Develop agents that operate over experiments, simulations, and scientific datasets, selecting next actions under uncertainty
Define how autonomy is scoped, when humans stay in the loop, and how decisions are escalated
Implement planning, control logic, and uncertainty-aware decision-making tailored to physical systems
Encode operational, experimental, and safety constraints directly into agent behavior
Define stopping criteria, fallback strategies, and recovery mechanisms to prevent brittle behavior
Collaborate closely with AI researchers to embed predictive models into agent workflows
Work with lab, automation, and software teams to connect agents to real experimental and simulation systems
Ensure agent outputs translate into executable actions, not just recommendations
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