Senior Data Scientist
Tasks
- Build multimodal understanding pipelines
- Deploy LLMs at scale
- Design scalable data processing pipelines
- Develop compound AI systems
- Fine-tune large language models
- Implement inference optimization strategies
- Manage model performance quality latency cost
- Optimize LLM inference
- Support research prototyping through production
Perks/Benefits
- 401k match
- Company paid life insurance
- Dental insurance
- FSA options
- Flexible PTO
- Free food
- Hybrid work
- In-person events
- Medical insurance
- Paid Holidays
- Paid parental leave
- Professional development
- Remote work
- Shorter work days Summer Fridays
- Virtual events
- Vision insurance
Skills/Tech-stack
AWS | Airflow | ArgoCD | Batching | CUDA | DBT | DVC | Datadog | Distributed Systems | Docker | FastAPI | GCP | GPU serving | GPU-accelerated workloads | GitHub Actions | Huggingface | Inference Optimization | Inference Server | KV cache | Kubernetes | Multi GPU serving | Multi-GPU | Multimodal Learning | ONNX | Pandas | PyTorch | Python | Qdrant | 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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