Machine Learning Engineer

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Alsym Energy is seeking a Machine Learning Scientist or Engineer to design, build, and deploy agentic AI systems that actively support scientific discovery. This role focuses on developing LLM-based agents that can autonomously retrieve proprietary experimental and simulation data, perform statistically rigorous analyses, and generate clear, traceable reports for internal scientific teams. This position sits within the Discovery, and Early Prototyping (DEP) organization and works closely with domain experts in materials science, chemistry, and energy systems.

The goal is not to build a generic chatbot, but to create reliable, production-grade agents that integrate knowledge across internal data silos and materially improve how scientists reason about data. Success in this role is measured by the delivery of production-ready agentic systems actively used by scientists for data analysis and decision-making.

• Infrastructure Development:
  Design, implement, and formalize scalable agent architectures, incorporating structured prompting and advanced tool‑use (tool‑augmented reasoning).
• Agent Development:
  Create LLM Agents specifically engineered to:
• Autonomously retrieve proprietary scientific data from diverse internal systems and formats (e.g., experimental, simulation).
• Perform relevant statistical analysis on retrieved data.
• Produce clear, actionable reports for internal users.
• Domain‑Expert Interaction:
  Collaborate with domain experts in materials science to understand data structure, define analysis requirements, and ensure statistical rigor in Agent outputs.

• Education:
  
  Master’s or PhD in Computer Science, Machine Learning, AI, Engineering, or a related scientific field, or equivalent research/industry experience.
• Programming:
  Strong programming skills in Python and knowledge of software development best practices.
• Agentic Frameworks:
  Expertise in LLM frameworks (Ollama, Hugging Face Transformers) and Agent‑building toolkits (Lang Chain, Llama Index, or similar).
• Agentic Reasoning:
  Proficiency in advanced LLM reasoning methods, including Chain‑of‑Thought, self‑reflection, and advanced tool‑augmented reasoning.
• Data & Statistics:
  Proven ability to access, process, and perform rigorous statistical analysis on complex, proprietary scientific datasets.
• Self‑starter and energetic.

• Research experience in causal reasoning, probabilistic programming, or symbolic AI.
• Familiarity with scientific discovery pipelines in chemistry, materials science, or energy research.
• Experience with multimodal reasoning (combining text, image, and experimental data).
• Practical experience in delivering and maintaining production‑ready ML/Agentic systems.

Alsym Energy, Inc is a leading innovator in the rapidly changing field of battery energy storage. It is essential for the world to succeed in the transition to sustainable energy and batteries are at the very core of the solution. In fact, the IEA predicts that 60% of CO₂ emission reductions in 2030 will be directly related to batteries. This mission is what drives us every day.

Over the last few years, supply‑chain constraints and significant safety incidents arising from lithium‑ion batteries have reduced confidence in the suitability of the technology. Alsym’s advanced sodium ion technology enables the highest performing non‑lithium‑ion battery in the industry, based on its safe, sustainable and long‑lasting energy storage solution.

Mid‑Senior level

Full‑time