Staff Software Engineer, AI Foundation Model
Tasks
- Architect flight data ingestion processing labeling and versioning pipelines
- Build training and inference infrastructure
- Conduct technical interviews and define engineering bar
- Define interfaces and shared abstractions across teams
- Design distributed training pipelines
- Design safety and performance evaluation frameworks
- Document architecture decisions and operational runbooks
- Evaluate and adopt open source tooling and frameworks
- Identify resolve technical bottlenecks
- Implement experiment tracking and model registry
- Lead technical scoping and estimation for large AI projects
- Mentor engineers and conduct design reviews
- Refactor design build and maintain AI models
- Set model evaluation standards benchmarks and regression testing
- Strategize foundation model selection
Perks/Benefits
- 401k match
- Catered lunches
- Coffee and tea
- Dental insurance
- Health insurance
- Life insurance
- Professional development support
- Snacks
- Unlimited vacation
- Work-life integration
Skills/Tech-stack
Batch Processing | C++ | Data Engineering | Data Pipelines | Data Versioning | Distributed Training | Edge Deployment | Experiment tracking | Go | Hardware-aware compilation | JAX | MLOps | MLflow | Model Evaluation | Model Registry | Model Regression | Model Regression Testing | NVIDIA CUDA | PyTorch | Python | Quantization | Regression testing | Rust | Streaming processing | TensorFlow | TensorRT | Transformer Architectures | Weights and Biases
Education
N/A
Regions
Countries
States
Cities
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