Machine Learning Engineer, Residential Energy

The Data Science and Analytics team is dedicated to data-driven innovation within Tesla's Residential Energy sector, creating and implementing data-driven products that infrom decision-making. The team's initiatives span all facets of the Residential Energy Operations division, focusing on prominent projects that include the creation and evaluation of rules-based and machine learning systems for predicting labor needs, planning materials, project timeline forecasting, and optimizing installation efficiencies. They develop new data pipelines and refine existing ones that are crucial for software production applications, operations reporting functions, and stakeholder engagements alongside conducting impact evaluations and KPI analyses for specific programs.


Responsibilities

• Conduct incrementality, lift testing, and attribution modeling to optimize demand generation strategies
• Collaborate across various functional and product lines to support all Tesla residential energy offerings, including Powerwall, Solar PV, and Wall Connector
• Engage in complex problem-solving initiatives, prioritizing solutions over specific tools, to enhance the effectiveness of residential energy products
• Analyze customer behavior to predict order conversion and cancellation rates, providing actionable insights to improve customer retention and satisfaction
• Develop and implement descriptive, diagnostic, and predictive models to generate valuable insights for operations and engineering teams
• Execute causal inference analyses to evaluate the impact of operations programs and mentor analysts to do the same
• Maintain a highly organized workflow while managing multiple priorities and projects efficiently
• Demonstrate a strong technical acumen, curiosity, and an innovative mindset to explore new approaches and methodologies in data analysis and modeling
• Collaborate with cross-functional teams to align on project goals, share insights, and drive data-driven decision-making
• Stay informed about industry trends and advancements in data science and related technologies to continuously enhance analytical capabilities

Requirements

• Minimum of 2-4 years of professional experience as a Machine Learning Engineer in a fast-paced environment
• Degree in Computer Science, Engineering, Physics, Statistics, Mathematics, or equivalent experience
• Demonstrated proficiency in software development utilizing Python, including core libraries such as NumPy and Pandas
• Proven experience in the end-to-end deployment of data pipelines for production software applications
• Familiarity with machine learning libraries and statistical frameworks, including TensorFlow, Keras, scikit-learn, SciPy, and PyStan/Bayesian Inference
• Proficient in version control systems (Git) and comfortable executing command-line operations bash
• Skilled in code testing methodologies using unittest and pytest
• Understanding of various data communication protocols REST API, Websockets, and familiarity with continuous integration tools Docker, Jenkins, or Kubernetes
• Strong passion for data and its role in driving informed decision-making

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• 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)
• LGBTQ+ care concierge services
• 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 - $330,000/annual salary, depending on level + 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.