a16z 
Sequoia Staff ML Engineer, Perception Research
Posted Updated 2
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Summary
Build and optimize ML pipelines for autonomous vehicle perception, including distillation, batch inference, and multimodal LLM training to improve 3D world modeling and model efficiency.
- Build scalable distillation and batch inference pipelines
- Build world models for 3D perception
- Conduct multimodal LLM training and deployment
- Create tools for performance analysis profiling and debugging
- Design evaluation frameworks for perception models
- Develop data pipelines for training and evaluation
- Develop efficient model training workflows
- Implement model partitioning and sharding strategies
- Optimize model compression and efficient attention
Perks/Benefits:
- 401k match
- Baby bonding leave
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Maternity leave
- Paid Holidays
- Paid time off
- Sick time
- Vision insurance