Tesla Motors, Inc.
Sr. Data Engineer, Energy, AI,ML
Tesla Motors, Inc., Palo Alto, California, United States, 94306
What to Expect
We are seeking a highly motivated and collaborative engineer to join our team to drive the development of agentic AI to support the growth of our energy business, including Industrial, Residential, Supercharger, Solar and other internal business verticals.
As a key member of the team, you will design, develop and iterate on agentic solutions that solve for key internal workstreams built onto of data from various data sources, including deployed fleets, internal applications, and other data warehouses. Your work will accelerate how we gather insights, contribute to our understanding of key business performance indicators, informing data-driven decisions to optimize our strategies and drive business growth.
You will be responsible for leading the development of agentic efforts to identify and resolve fleet-wide performance, operation, and maintenance challenges across our growing fleet of energy products. You will work closely with cross-functional teams, including Industrial Energy, Residential Energy, and Solar Product and Service Engineering, to maximize product health of our fleet.
What You'll Do
Develop and implement AI-based products using LLMs to create next generation automation tools that can be leveraged by both internal and external teams
Develop and test quick prototypes to validate concepts, create beta launches, collect feedback and iterate on optimal solutions before scaling up
Proactively identify and drive optimization and improvements to the product and fine‑tune backend APIs to scale to product demands
Drive adoption of large language model solutions, machine learning algorithms for optimizing how we make sense of telemetry and internal fleet data
Research and incorporate emerging language model updates, infrastructures, tools, and technologies, especially pertaining to agentic AI
Help shape the product roadmap, scaling strategy in partnership with engineering and forward‑deployed resources
What You'll Bring
Degree in Computer Science, Engineering, Physics, or equivalent experience
Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience
Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale. Experience building or scaling AI‑powered platforms and agent‑based systems
Deep knowledge of transformer‑based LLMs, tokenization, embeddings, context management, and prompt engineering
Familiarity with LangChain for building LLM‑powered applications, including experience with chains, agents, and integrations with vector stores or external tools
Proven ability to evaluate, fine‑tune, and optimize LLMs for downstream tasks
Demonstrable ability to solve complex engineering problems that deliver on results
Compensation and Benefits Benefits
Aetna PPO and HSA plans – 2 medical plan options with $0 payroll deduction
Family‑building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company‑paid Health Savings Account (HSA) Contribution when enrolled in the High Deductible Aetna medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D, short‑term and long‑term disability insurance
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Back‑up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program
Expected Compensation
$108,000 - $240,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job‑related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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As a key member of the team, you will design, develop and iterate on agentic solutions that solve for key internal workstreams built onto of data from various data sources, including deployed fleets, internal applications, and other data warehouses. Your work will accelerate how we gather insights, contribute to our understanding of key business performance indicators, informing data-driven decisions to optimize our strategies and drive business growth.
You will be responsible for leading the development of agentic efforts to identify and resolve fleet-wide performance, operation, and maintenance challenges across our growing fleet of energy products. You will work closely with cross-functional teams, including Industrial Energy, Residential Energy, and Solar Product and Service Engineering, to maximize product health of our fleet.
What You'll Do
Develop and implement AI-based products using LLMs to create next generation automation tools that can be leveraged by both internal and external teams
Develop and test quick prototypes to validate concepts, create beta launches, collect feedback and iterate on optimal solutions before scaling up
Proactively identify and drive optimization and improvements to the product and fine‑tune backend APIs to scale to product demands
Drive adoption of large language model solutions, machine learning algorithms for optimizing how we make sense of telemetry and internal fleet data
Research and incorporate emerging language model updates, infrastructures, tools, and technologies, especially pertaining to agentic AI
Help shape the product roadmap, scaling strategy in partnership with engineering and forward‑deployed resources
What You'll Bring
Degree in Computer Science, Engineering, Physics, or equivalent experience
Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience
Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale. Experience building or scaling AI‑powered platforms and agent‑based systems
Deep knowledge of transformer‑based LLMs, tokenization, embeddings, context management, and prompt engineering
Familiarity with LangChain for building LLM‑powered applications, including experience with chains, agents, and integrations with vector stores or external tools
Proven ability to evaluate, fine‑tune, and optimize LLMs for downstream tasks
Demonstrable ability to solve complex engineering problems that deliver on results
Compensation and Benefits Benefits
Aetna PPO and HSA plans – 2 medical plan options with $0 payroll deduction
Family‑building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company‑paid Health Savings Account (HSA) Contribution when enrolled in the High Deductible Aetna medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D, short‑term and long‑term disability insurance
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Back‑up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program
Expected Compensation
$108,000 - $240,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job‑related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
#J-18808-Ljbffr