Senior Machine Learning Engineer
Tasks
- Apply active learning to improve models
- Build and improve AI systems
- Build data and improvement flywheels
- Deploy and iterate on model systems
- Design evaluation pipelines
- Develop Agentic AI systems
- Diagnose production failures
- Ensure model observability and reliability
- Implement failure recovery
- Implement tool use retrieval and routing
- Manage context and state
- Orchestrate and trace workflows
- Own projects end to end
- Test prompting retrieval and routing improvements
- Translate research into experiments
Perks/Benefits
- 401k match
- Company off-sites
- Dental insurance
- Equipment provisioning
- Flexible time off
- Health insurance
- Holiday shutdown
- Parental leave
- Remote-friendly culture
- Team lunches
- Vision insurance
Skills/Tech-stack
Active Learning | Agentic Systems | CI/CD | Containerization | Docker | Fine Tuning | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Observability | Orchestration | PyTorch | Python | Retrieval-Augmented Generation | Routing | Tool use | Tracing | Transformers | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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