Senior AI Engineer for Vision Systems

2 weeks ago


Palo Alto, California, United States Tesla Full time
Job Overview

As a key member of our innovative team, you will engage in cutting-edge research and development focused on foundation models for autonomous systems.

Role Responsibilities
  • Model Training: Lead the training of advanced generative models and multi-task networks utilizing extensive datasets and powerful computational resources.
  • Research Leadership: Drive advancements in machine learning for vision, enhancing the capabilities of perception and decision-making systems.
  • Distributed Systems: Explore and implement large-scale distributed training methodologies, ensuring deployment of models to a global audience.
Qualifications

The ideal candidate will possess:

  • A strong history of scaling and training intricate models.
  • Expertise in overcoming infrastructure challenges and optimizing high-capacity model training.
  • Proficiency in programming with Python and a solid grasp of software engineering principles.
  • A comprehensive understanding of deep learning fundamentals, including architectures, loss functions, and optimization strategies.
  • Experience with frameworks such as PyTorch, TensorFlow, or JAX.
  • Familiarity with scientific computing techniques, including batched operations and grid sampling.
  • System-level expertise to efficiently profile and enhance training and evaluation processes.
Compensation and Benefits

As a full-time employee, you will enjoy a competitive compensation package that includes:

  • Multiple medical plan options with no payroll deductions.
  • Comprehensive dental and vision coverage.
  • Health Savings Account contributions.
  • Flexible Spending Accounts for healthcare and dependent care.
  • Retirement plans with employer matching.
  • Employee stock purchase plans and various financial benefits.
  • Generous paid time off and holiday policies.
  • Access to wellness programs and additional voluntary benefits.

Tesla is committed to fostering a diverse and inclusive workplace, ensuring equal opportunity for all applicants.



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