Machine Learning Engineer

Alsym Energy; Malden (MA); On-site; USD 130,000 - 215,000; Full time

Job summary

A leading energy storage company is seeking a Machine Learning Scientist or Engineer to design and deploy AI systems that enhance scientific discovery. The position involves developing LLM-based agents for data retrieval and analysis, focusing on producing reliable outputs that improve data reasoning. Candidates should have a Master’s or PhD in relevant fields, strong programming skills in Python, and expertise in LLM frameworks. This is a full-time position in Malden, Massachusetts.

Qualifications

• Education in Computer Science, Machine Learning, AI, Engineering, or equivalent experience.
• Strong programming skills in Python and software development best practices.
• Proficiency in advanced LLM reasoning methods, including Chain-of-Thought.

Responsibilities

• Design, implement, and formalize scalable agent architectures.
• Create LLM Agents for data retrieval and analysis.
• Collaborate with experts to define analysis requirements.

Skills

Programming skills in Python

Expertise in LLM frameworks

Strong understanding of statistical analysis

Self-starter and energetic

Education

Master’s or PhD in relevant field

Tools

Ollama

HuggingFace Transformers

LangChain

LlamaIndex

Job description

This range is provided by Alsym Energy. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $215,000.00/yr

Direct message the job poster from Alsym Energy

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.

Core Responsibilities

• 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.

Required Qualifications

• 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, HuggingFace Transformers) and Agent‑building toolkits (LangChain, LlamaIndex, 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.

Preferred Qualifications

• 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.

Industry Background

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.

Seniority level

Mid‑Senior level

Employment type

Full‑time