Lead ML Engineer (VLA/ALM focused)
Tasks
- Align multimodal data for training foundation models
- Design implement and test perception features
- Develop data development and machine learning pipelines
- Develop software and system requirements with cross functional teams
- Integrate large language models into perception stack
- Integrate vision language models into perception stack
- Lead extensive testing to validate features and meet release schedules
- Lead major feature development including code reviews and issue diagnosis
- Track technical performance of perception in field
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible spending account
- Flexible vacation policy
- Health insurance
- Health savings account
- Life insurance
- Paid parental leave
- Retirement benefits
- Total wellness program
- Vision insurance
Skills/Tech-stack
C# | C++ | CLIP | Computer Vision | Contrastive Learning | Data Balancing | Data Mining | Data pipeline | Deep learning | Image Segmentation | Image classification | Language Models | Large Language Models | Linux | Localization | Low Latency | Low-Latency Systems | Machine Learning | Multi-Target Tracking | Multimodal Learning | Object Detection | Open Vocabulary Detection | Perception | Planning | Prediction | Prompt engineering | PyTorch | Python | Quantization | Real Time | Real-time Systems | Scene Understanding | Semantic Scene Understanding | Sensor fusion | Target Tracking | TensorFlow | Time Systems | Vision Language Models | Vision-language
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