Senior Data Scientist
Tasks
- Build multimodal AI pipelines
- Create production grade serving
- Deploy LLMs at scale
- Develop compound AI systems
- Fine-tune large language models
- Manage quality latency cost tradeoffs
- Optimize LLM inference
- Research Large Language Models
- Test and review machine learning code
Perks/Benefits
- 401k company match
- Company paid life insurance
- FSA options
- Flexible PTO
- Free food
- Fully remote options
- Hybrid/remote options
- In-office lunches
- In-person events
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Professional development opportunities
- Summer Fridays
- Virtual events
Skills/Tech-stack
AWS | Airflow | Argo Workflows | ArgoCD | Batching | CUDA | Cloud platform | Code review | DBT | DVC | Datadog | Distributed Systems | Docker | FastAPI | GCP | Google Cloud | Google Cloud Platform | HuggingFace Transformers | Huggingface | Inference Optimization | Inference Server | KV cache | Kubernetes | Language Models | Large Language Models | Machine Learning | Multimodal Learning | ONNX | Pandas | PyTorch | Python | Quantization | Ray | SQL | Snowflake | Software Design | TensorRT | Terraform | Transformers | Triton Inference | Triton Inference Server | VLLM | Weights and Biases
Education
Roles
Regions
Countries
States
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