Sr. ML Fullstack Engineer, Autopilot AI

Key Skills

Aartificial intelligence, Computer Vision (CV), Debugging, Design, GPUs, JavaScript, Linux Operating system, Machine learning techniques, Neural Networks, Python Programming, React.js, Redux, UI design

Job Description

What to Expect

As a Software Engineer within the Autopilot AI/ML Infrastructure team, you will work reinforcing, optimizing, and scaling our neural network training & auto-labeling infrastructure both for Autopilot and the Humanoid robot.

At the core of our autonomy capabilities are multiple neural networks that the Deep Learning team is designing to train on very large amounts of data, across large-scale GPU clusters and soon our supercomputer Dojo. Robustly training networks at scale, should it be for production models or quick experiments, and completing them in the shortest amount of time possible, is critical to our mission. 

We are building out the machine learning platform that our team uses to schedule, track, and monitor their jobs, datasets and artifacts.

What You’ll Do

• Connect our machine learning code to databases, and these databases to the frontend. Our machine learning engineers and leadership use this stack to schedule, launch, monitor, track and debug experiments, jobs and models.
• Work on the platform of tools and infrastructure of whatever the machine learning team needs to be effective. This spans the scope from the machine learning code in Python to back-end and front-end work in JavaScript.
• Coordinate required hardware resources with the team managing the cluster hardware to maintain high availability.
• Work with the Machine Learning team directly to understand requirements and priorities.

What You’ll Bring

• Strong understanding of Python, React.JS, and Linux.
• Experience building modern web applications using React/Redux or similar component based libraries.
• UI and graphic design sensibilities.
• Interest in machine learning, computer vision or neural networks.
• Experience working with large computer clusters.
• Knowledge of machine learning, computer vision, or neural networks is a plus.

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

$104,000 - $360,000/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.