Senior ML Engineer
USD 153K-175K (estimate) Senior-level Full Time
Tasks
- Build ML evaluation frameworks and run A B tests
- Build and maintain embedding pipelines
- Clean transform and curate training datasets
- Collaborate on FastAPI model integration and production observability
- Design end to end ML training pipelines
- Fine-tune large language models
- Host and optimize LLM inference in production
- Implement Model Context Protocol integrations
- Implement RLHF workflows
Perks/Benefits
- 401k retirement plan
- Cell phone reimbursement
- Company paid life insurance
- Dental insurance
- Employee assistance program
- Free snacks
- Gym reimbursement
- Health and Flexible Savings Accounts
- Internet reimbursement
- Medical insurance
- Paid Holidays
- Paid parental leave
- Stock options
- Tuition reimbursement
- Unlimited vacation
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWQ | Attention Mechanisms | Axolotl | B testing | Batching | DPO | DVC | Deep learning | DeepSpeed | Distributed Training | Experiment tracking | FSDP | FastAPI | GPTQ | GRPO | Hugging Face | Hugging Face Transformers | INT4) | INT8 | Inference Server | Instruction Tuning | Language Models | Large Language Models | LoRA | Loss Functions | MLOps | MLflow | Machine Learning | Megatron-LM | Model Context Protocol | Model Evaluation | Model Quantization | Model Registry | ONNX Runtime | OpenAI embeddings | Optimization Algorithms | PEFT | PGVector | PPO | Pinecone | QLoRA | RAG | RLHF | Regularization | Reinforcement Learning | Reward Modeling | Sentence Transformers | Synthetic data | TRL | Text Generation | Text generation inference | Throughput Optimization | Transformers | Triton Inference | Triton Inference Server | VLLM | Vector Databases | Weaviate | Weights and Biases
Education
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