Staff Machine Learning Engineer - Computer Vision & Multi-Modal AI
San Francisco, CA, USA
USD 192K-258K (estimate) Senior-level Full Time
Tasks
- Apply compression quantization pruning and distillation
- Build data pipelines and evaluation systems
- Collaborate with research and platform teams
- Define ML modeling roadmap
- Deploy models for training and inference
- Design training and fine-tuning pipelines
- Develop computer vision and multi modal models
- Drive benchmarking and model performance evaluation
- Establish engineering best practices and code review
- Lead and mentor ML engineering team
- Optimize model efficiency for latency and cost
- Translate research models into production
Perks/Benefits
- Commute subsidy
- Employee resource groups
- Employee stock ownership
- Generous vacation and personal days
- Global employee assistance program
- Leave and family-care programs
- Mental health and wellbeing programs
- Office Food Snacks
- Retirement pension plans
- Training and development programs
- Volunteering and donation matching program
Skills/Tech-stack
Compression | Computer Vision | CoreML | Data Curation | Dense Prediction | Diffusion Models | Efficient Attention | Fine Tuning | FlashAttention | Image Segmentation | Knowledge Distillation | Language Models | Linear-attention | Model Evaluation | Model Fine-tuning | Model Training | Multi-Modal | Multi-Modal Learning | ONNX Runtime | Object Detection | Pruning | PyTorch | Python | Quantization | Scalable systems | TFLite | TensorRT | Transformers | VLM Alignment | Vision Language Models | Vision-language
Education
N/A
Regions
Countries
States
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