Tesla · 8 hours ago
Machine Learning Engineer, Residential Energy
Palo Alto, CA
Full-time
Onsite
Entry, Mid Level
$124K/yr - $186K/yr
2+ years expTesla is on a mission to enable sustainable abundance through clean energy solutions. They are seeking a mid-level Machine Learning Engineer and Data Scientist to support their Residential Energy product lines by designing, building, and deploying data and machine learning solutions.
AutomotiveElectric VehicleEnergyManufacturingRenewable EnergyTransportation
Responsibilities
Own the full lifecycle of machine learning and optimization models – from exploration and prototyping to deployment, monitoring, and continuous improvement – supporting forecasting and operational decision-making
Collaborate cross-functionally with a team that blends software engineering, data science, and product to ensure solutions align with the system design, operational needs, and end-user impact
Build and maintain scalable production data pipelines consumed by software applications and analytics teams, applying first-principles thinking to identify root causes and drive architectural improvements
Conduct exploratory data analysis (EDA) to uncover insights and develop descriptive, diagnostic, predictive, and causal models that evaluate program performance
Communicate findings and recommendations to technical and non-technical audiences, translating business questions into innovative analytical solutions
Example projects include: Incrementality and lift testing, attribution modeling, and demand forecasting; prediction of order conversion, churn, and cancellation based on customer behavior; and causal inference analyses to measure program and operational effectiveness
Qualification
Required
2+ years of experience as a Machine Learning Engineer, AI Engineer, Data Scientist, or similar role
Strong proficiency in Python with experience writing production-quality software and automated testing (pytest, unittest)
Experience deploying end-to-end data or ML pipelines used by production systems
Solid understanding of core Python libraries (NumPy, Pandas) and ML/statistical frameworks (e.g., scikit-learn, TensorFlow, PyTorch, SciPy, Bayesian methods)
Demonstrated ability to manage multiple priorities in a fast-paced environment
Strong written and verbal communication skills, with a commitment to continuous learning, mentorship, and raising the technical performance of the team
Degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or a related quantitative field, or equivalent experience
Preferred
Experience with modern data architectures and distributed systems (SQL/NoSQL, Spark, Kafka)
Familiarity with cloud and large-scale computing environments (e.g., object storage, logging/monitoring tools)
Exposure to CI/CD pipelines and containerized workflows (Docker, Jenkins, Kubernetes)
Benefits
Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
Company
Tesla
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions.
10001+ employees
H1B Sponsorship
Tesla has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2796)
2024 (2113)
2023 (1304)
2022 (1227)
2021 (1102)
2020 (723)
Funding
Current Stage
Public CompanyTotal Funding
$20.12BKey Investors
Societe GeneraleEuropean UnionPennDOT
2024-10-05Post Ipo Debt· $783M
2023-09-13Grant· $159.6M
2023-08-15Grant· $0.23M
Leadership Team
Vaibhav Taneja
Chief Financial Officer
Tom Zhu
SVP of Automotive
Recent News
2026-01-12
2026-01-12
2026-01-12
Company data provided by crunchbase