Senior Data Scientist
Tasks
- Balance quality latency and cost
- Build compound AI systems
- Construct production grade pipelines
- Deploy LLMs for multimodal content understanding
- Develop testing and code review practices
- Fine-tune LLMs
- Optimize LLM inference
- Perform model serving optimizations
- Run inference at scale
Perks/Benefits
- 401k match
- Dental insurance
- FSA options
- Flexible PTO
- Free food
- Hybrid work
- In-office lunches
- In-person events
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Professional development opportunities
- Remote work
- Summer Fridays
- Virtual events
- Vision insurance
Skills/Tech-stack
AWS | Airflow | ArgoCD | Batching | CUDA | DBT | DVC | Datadog | Distributed Systems | Docker | FastAPI | GCP | GPU-accelerated workloads | GitHub Actions | Huggingface | Inference Optimization | Inference Server | KV cache | Kubernetes | Multi Node GPU | Multi-node | Multimodal AI | Multimodal modeling | ONNX | Pandas | PyTorch | Python | Quantization | Ray | SGLang | SQL | Snowflake | TensorRT | Terraform | Transformers | Triton Inference | Triton Inference Server | VLLM | Weights and Biases
Education
Roles
Regions
Countries
States
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