Sr. Machine Learning Engineer
USA - California - San Jose - Corp - N First St, United States
R
USD 193K-246K Senior-level Full Time
Tasks
- Build evaluation pipelines for LLMs
- Collaborate with software engineers on deployments
- Collect clean and prepare data for modeling
- Communicate technical concepts and results
- Deploy models to live systems
- Design AI agents
- Design machine learning models
- Develop prototypes and run experiments
- Maintain fraud prevention systems
- Monitor model performance and scaling in production
- Optimize models for production performance accuracy and scalability
- Review machine learning models and agents
- Validate model approaches
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | API Governance | API Integration | Accelerate | Artificial Intelligence | Auto prompting | B testing | CI/CD | Chain-of-Thought | Containerization | Data Augmentation | Data Labeling Automation | Data labeling | Dataset quality | Dataset quality control | Deep learning | DeepSpeed | Distributed Training | Docker | FSDP | Fine Tuning | Function Schemas | GPU Compute | Inference Optimization | Job orchestration | LLM Evaluation | LLM Fine-tuning | Labeling Automation | Language Models | Large Language Models | MLOps | Machine Learning | Maturity Models | Model Deployment | NVIDIA A100 | NVIDIA H100 | Performance Monitoring | Post-training | Post-training optimization | Prompt Optimization | Prompt engineering | PyTorch | Python | Quality Control | REST APIs | Ray Serve | Reflecting Prompting | Routing Prompt | Schema Consistency | Simulation-based evaluation | System Prompt | Tool Calling Interfaces | Tool Maturity | Tool Maturity Models | Tool-Calling | Training Optimization | Triton | VLLM
Education
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