Ai Research Scientist, Generative Modeling - Palo Alto, United States - Tesla

Tesla

Verified Company

Palo Alto, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

Tesla participates in the E-Verify Program

What to Expect
You will play a critical role in our small, specialized team of machine learning scientists, specializing in generative modeling.

Your primary focus will be to develop, train, and optimize large generative models that comprise the core world-understanding and decision-making of Autopilot.

You will have access to one of the world's largest training clusters to develop and scale our leading-edge models.

What You'll Do

Spearhead the development and training of cuttingedge large generative models, including diffusion models, VAEs, autoregressive models, and GANs
Optimize model performance through improved training techniques and methods such as semisupervised learning and unsupervised pretraining
Collaborate with other experts in deep learning, infrastructure, and distributed computing to ensure the efficient and scalable training of large generative models

What You'll Bring

A demonstrable track record in developing and training large generative models, including infrastructure challenges, optimizing the efficiency of the training process, and tuning the model for best performance
Proficiency in Python and a strong foundation in software engineering best practices
A deep understanding of deep learning fundamentals, encompassing indepth knowledge of layer details, loss functions, and optimization techniques
Proficiency in implementing neural network architectures tailored for generative modeling
Experience with deep learning frameworks such as PyTorch, TensorFlow, JAX, or similar platforms
Familiarity with standard scientific computing primitives, including batched operations, grid sampling, scatter/gathering, and einsum
Strong expertise in systemlevel knowledge, enabling you to optimize the training and evaluation processes efficiently and effectively, is preferred

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
Familybuilding, 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, shortterm and longterm disability insurance
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Backup 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

$116,000 - $360,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, jobrelated 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.

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.