Overview
On Site
USD 140,000.00 per year
Full Time
Skills
Lean Methodology
Modeling
Reasoning
Data Collection
Training
Python
Software Engineering
Deep Learning
Optimization
Machine Learning (ML)
Robotics
C++
Firmware
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance
Job Details
Tesla is looking for an experienced applied Machine Learning Engineers to help build models that deliver robust for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world's largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla's customers.
Responsibilities
Requirements
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:
Responsibilities
- Work on developing novel techniques for robustly handling start and end of trip Robotaxi behaviors in a rapidly scalable way
- Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
- Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models
- Work cross-functionally across ground truth generation, ML model training, and on-vehicle deployment
- Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data
- Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet
Requirements
- Strong experience with Python, any major deep learning framework, and software engineering best practices
- An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.
- Proven expertise in deploying production ML models for self-driving and robotics at scale
- Any experience with C++ would help integrate with vehicle firmware and take projects from ideas to shipped products
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)
- 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
$140,000 - $420,000/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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.