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Battery Product Development Sr Engineer

Woburn, MA · On-site +1

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 ...

EnergyHub

Software Engineer II, Battery

Working closely with leading battery providers such as Tesla and Sunrun, you will improve grid ... You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including ...

Gotion, Inc.

Data Analyst

Manteno, IL · On-site

Experience with implementing machine learning in industry is a plus. * Knowledge of lithium-ion battery technology is good to have. * Experience with cloud platforms like AWS, GCP, or Azure.

Sesame

Electrical Engineer

San Francisco, CA · On-site

$175K - $280K/yr

... areas: battery, RF, capacitive touch, audio, or image sensors. * Experience developing and shipping a wearable product, including machine perception or machine learning-powered features, with ...

Aerotek

Machine Operator

Indianapolis, IN

$15 - $17.75/hr

Maintain a clean, organized, and safe work area in accordance with battery manufacturing ... learning opportunities. The environment feels like a startup, offering the chance to help shape ...

Cheetah Mobile

Chief Scientist - AI

Palo Alto, CA · On-site

Our mission critical applications, including Clean Master, CM Security, Battery Doctor and Duba ... Build up and lead a team of machine learning scientists evolving distinctive practices

Gotion, Inc.

Data Analyst

Manteno, IL · On-site

Experience with implementing machine learning in industry is a plus. * Knowledge of lithium-ion battery technology is good to have. * Experience with cloud platforms like AWS, GCP, or Azure.

Verse

Senior Data Scientist

San Francisco, CA

... battery storage. You will play a critical role in shaping our modeling and analytical data layer, leveraging machine learning techniques, supporting optimization modeling infrastructure, and ...

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Battery Machine Learning information

What are the key skills and qualifications needed to thrive as a Battery Machine Learning Engineer, and why are they important?

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 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 is battery machine learning and what do professionals in this field do?

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.
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Infographic showing various Battery Machine Learning job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Mechanical Engineer - Battery Sorting, Energy Storage

Mechanical Engineer - Battery Sorting, Energy Storage

Redwood Materials

Mccarran, NV

Other

Posted 15 days ago

Job description

Mechanical Engineer - Battery Sorting, Energy Storage

Do you want to design and build the automated systems that make battery recycling possible at scale? Join the Battery Sorting team at Redwood Materials, where we are building a world-class, state-of-the-art, ML-enabled sorting platform that integrates conveyors, diverter mechanisms, computer vision, and operator-assist systems to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors.

Our team partners closely with Controls, Software, and Production Engineering to solve tightly coupled electromechanical and AI-driven challenges as we scale the infrastructure driving the circular battery economy. By increasing the reach of recycled and sustainable materials, we are transforming the global battery supply chain.

As a Mechanical Engineer on the Sorting team, you'll work alongside a world-class, cross-functional group of engineers to design, fabricate, integrate, and sustain production sorting equipment. We're looking for hands-on problem solvers who are energized by rapid iteration, people who can move fluidly between CAD, the shop floor, and the production line to keep hardware performing.

If you're ready to make a tangible impact on the future of sustainable manufacturing, we want to hear from you.

Responsibilities:

  • Design, prototype, and implement mechanical assemblies for sorting line subsystems including infeed, outfeed, conveyors, diverters, and guarding
  • Collaborate with production engineering to troubleshoot and improve existing sorting equipment and processes to maximize throughput and uptime
  • Apply engineering fundamentals (structural sizing, mechanism design, tolerance analysis) to deliver robust hardware solutions
  • Create detailed models and engineering drawings in SolidWorks for custom fixtures, brackets, enclosures, and conveyor components
  • Support machine activation alongside the controls engineering team; participate in development testing and validation runs with production engineering
  • Assist with integration of sensors, cameras, and actuators into mechanical assemblies, ensuring hardware interfaces support the ML-based classification and computer vision pipeline
  • Contribute novel mechanical concepts and designs with the potential to generate intellectual property and patents

Basic Qualifications:

  • Bachelor's degree in Mechanical Engineering or a related engineering discipline
  • Experience using a CAD software design package (e.g., SolidWorks, NX, CATIA, or ProE)
  • Internship, co-op, or up to 2 years of professional experience in mechanical design (new graduates welcome)

Preferred Skills and Experience:

  • Hands-on fabrication or prototyping experience (3D printing, sheet metal, welded structures, manual machining)
  • Exposure to conveyor systems, material handling equipment, or automated sorting/packaging machinery
  • Familiarity with sensor and actuator integration (encoders, servos, pneumatics, proximity sensors, cameras)
  • Interest in or exposure to machine learning, computer vision, or AI-enabled manufacturing systems
  • Understanding and application of GD&T
  • Experience working in or adjacent to a production or manufacturing environment
  • Comfort with engineering hand calculations and basic FEA
  • Ability to prioritize and execute tasks in a fast-paced, dynamic environment
  • Strong collaboration skills, including daily interactions with engineers, maintenance technicians, suppliers, and leadership

Additional Requirements

  • Work schedule may vary depending on site operational needs, and flexibility is required
  • Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time
  • Must be able to lift and carry up to 50 lbs. as needed

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