Sr Research Scientist, Battery Algorithms, Energy Storage, Project Jewel

Amazon is hiring a Sr Research Scientist, Battery Algorithms, Energy Storage, Project Jewel in Irvine, United States. It pays $159k-$215k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this research scientist role: the daily work is on AI products, without building the model.
The posting mentions Python, C and Machine learning among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Develops physics-informed and data-driven algorithms to estimate battery state, health, and remaining life for energy storage systems.

PythonCMachine learningControl Theory

algorithmsbattery-modelingestimation-methodsdata-analysisphysics-informed-machine-learning

Do you want to write the algorithms that control next-generation batteries, and shape the future of energy storage? This role sits where electrochemistry, data/ML, and control theory meet. You will develop the physics-informed and data-driven methods that estimate state of charge, health, power capability, and remaining life, and validate them against lab and fleet data until they are ready to ship. Your algorithms will decide how hard a battery can be pushed, when it needs attention, and how long it will last, so they shape the safety, warranty, and economics of the whole product. You will work side by side with cell, systems, and software engineers, and as an early hire you will help define how we develop and validate battery algorithms. This role can be based in Boston, Irvine, Sunnyvale, or Seattle, and involves occasional domestic and international travel, up to 10% of the time.

Key job responsibilities
• Develop and own algorithms for state of charge, state of health, power capability, and remaining useful life, combining physics-based models with data-driven and estimation methods.
• Deliver validated reference implementations, test vectors, and accuracy targets that define what production code must achieve.
• Design the test plans and data needed to develop and validate algorithms, working with the cell and testing teams to turn lab and field data into model improvements.
• Analyze algorithm performance across the deployed fleet, find where models drift or fail, and drive improvements.
• Own the accuracy and robustness of battery algorithms, and sign off that production implementations match the validated reference. Provide algorithm evidence for safety certification.

A day in the life
Your week moves between data, models, and experiments. One day you might be working out why a health estimate drifts on cells that have aged in the field, and the next deciding which model structure holds accuracy at cold temperatures. You could be designing a test with the cell team to expose a behavior your model misses, or reviewing an implementation with an applied scientist to confirm that what ships matches what you validated. You will regularly share results with software, systems, and cell leaders, and your findings will shape decisions well beyond the algorithm itself.

About the team
We are building Amazon's energy storage capability, providing power for advanced technologies while contributing to a stable grid. Our product is highly connected, yet secure and resilient by design. We own it end to end, from software, ML, and controls through system design to cell selection and supply, and on to a safety-certified product in the field. The organization operates like a startup inside Amazon: small, fast-moving, and accountable for our decisions. We work across hardware, software, and science, with suppliers and partners worldwide, and with Amazon infrastructure, procurement, legal, and finance.

The organization is at an early stage and growing quickly. You will be among the first algorithm hires, so you will help shape how we design, build, certify, and ship, with a direct line of sight to the product and business decisions your work informs. This is a dynamic role that will regularly present new challenges as the product and organization evolve.

Basic qualifications

- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD, or Master's degree and 5+ years of quantitative field research experience
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers

Preferred qualifications

- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Irvine - 159,200.00 - 215,300.00 USD annually
USA, MA, Boston - 159,200.00 - 215,300.00 USD annually
USA, WA, SEATTLE - 159,200.00 - 215,300.00 USD annually

How we rate this

Sr Research Scientist, Battery Algorithms, Energy Storage, Project Jewel at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Research Scientist, Battery Algorithms, Energy Storage, Project Jewel is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $159k-$215k a year.
The role is based in US, CA, Irvine.
The job was posted on November 13, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AlgorithmsBattery ModelingEstimation MethodsData AnalysisPhysics Informed Machine LearningPythonCMachine learning

Pay

This job starts at: $159k
Typical research scientist job: $191k

This posting starts 16% below the typical research scientist job. See research scientist jobs

Questions you could be asked

Tell me about a project where algorithms was part of your work. What did you do?
Tell me about a project where battery modeling was part of your work. What did you do?
Tell me about a project where estimation methods was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where physics informed machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Algorithms, Battery Modeling, Estimation Methods, Data Analysis, and Physics Informed Machine Learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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