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Battery Machine Learning Jobs in Massachusetts (NOW HIRING)

Master's or PhD in Computer Science, Machine Learning, AI, Engineering, or a related scientific ... Alsym's advanced sodium ion technology enables the highest performing non‑lithium‑ion battery ...

We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and ...

We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and ...

... largest battery energy storage datasets. This role is centered on deep BESS domain expertise, advanced statistical and machine learning methods, and large-scale operational data . You will work ...

... battery energy storage datasets. This role is centered on deep BESS domain expertise, advanced statistical and machine learning methods, and large-scale operational data . You will work hands-on in ...

... battery energy storage datasets. This role is centered on deep BESS domain expertise, advanced statistical and machine learning methods, and large-scale operational data . You will work hands-on in ...

Senior Data Scientist

Boston, MA · On-site

$140 - $200/hr

Strong grounding in statistics, machine learning, and applied AI, with demonstrated real‑world ... Battery Energy Storage Systems (BESS) operations, advanced analytics, and data science ...

New

We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and ...

We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and ...

Senior Scientist, Electrolyte

Woburn, MA · On-site +1

$100K - $136K/yr

We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and ...

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and ...

Technical Product Manager

Woburn, MA · On-site +1

$200K - $225K/yr

We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and ...

We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and ...

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Showing results 1-20

Battery Machine Learning information

What are the key skills and qualifications needed to thrive as a battery machine learning engineer?

To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.

What is battery machine learning?

Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.

What are some common challenges faced by professionals working in battery machine learning roles?

Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.
What are popular job titles related to Battery Machine Learning jobs in Massachusetts? For Battery Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Battery Machine Learning jobs in Massachusetts look for? The top searched job categories for Battery Machine Learning jobs in Massachusetts are:
Infographic showing various Battery Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer (Malden)

Alsym Energy

Malden, MA • On-site

$130K - $215K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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

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