Senior Machine Learning Engineer (LLM/VLM)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Machine Learning Engineer (LLM/VLM): Architecting and training large-scale onboard multimodal perception models for autonomous driving with an accent on vehicle safety and regulatory compliance. Focus on designing custom architectures for complex long-tail scenarios and optimizing models for real-time compute constraints.
Location: On Site in Mountain View, California
Salary: $213,000—$263,000 USD
Company
is an autonomous driving technology company building the Driver to improve mobility and safety through fully autonomous ride-hailing services.
What you will do
- Architect and train large-scale, onboard ML perception models essential for vehicle safety and regulatory compliance.
- Engineer robust, high-reliability training pipelines through cross-functional collaboration in a rapid-delivery environment.
- Design novel, custom architectures from first principles to solve complex perception challenges using deep computer vision expertise.
- Support the growth of junior engineers and contribute to a high-performing, collaborative team culture.
Requirements
- BS or MS in Computer Vision, Machine Learning, Robotics, or a related field.
- 4+ years of applied industry experience in autonomous vehicles, robotics, or complex ML systems.
- Fluency in Python or C++ with deep hands-on expertise in PyTorch or Jax.
- Proven experience with model distillation frameworks and quantization techniques for real-time compute constraints.
- Demonstrated experience building, training, or deploying Multimodal Foundation Models or Vision-Language Models (VLMs).
- Must be able to work on-site in Mountain View, California.
Nice to have
- PhD in Computer Vision, Machine Learning, Robotics, or a related field.
- Experience with large-scale distributed training, PEFT, or RLHF for Foundation Models and VLMs.
- Expertise in long-context temporal reasoning for sequential decision-making or complex video understanding.
- First-author publications in premier conferences such as CVPR, NeurIPS, ICCV, or ECCV.
Culture & Benefits
- Eligibility for discretionary annual bonus program and equity incentive plan.
- Generous company benefits program.
- Opportunity to work on a world-leading autonomous driving system with over 100 million miles of public road experience.
- Collaborative environment that values diverse skill sets and backgrounds.
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