Machine Learning Engineer, Assistant Quality
Tasks
- Apply post training and reinforcement learning methods
- Build RAG semantic search and retrieval systems
- Build and improve ML and LLM systems
- Create data and ML infrastructure for continuous improvement
- Design evaluation benchmarking and monitoring loops
- Develop and iterate on signals prompts and workflows
- Implement recommendation style models and ranking
- Improve reasoning planning personalization and task completion quality
- Orchestrate agent workflows
- Support offline and online evaluation experiments
Perks/Benefits
- 401k plan
- Dental
- Education stipend
- Healthy lunches
- Home office stipend
- Hybrid work
- Medical
- Paid time off
- Vision
- Wellness stipend
Skills/Tech-stack
Agent Orchestration | C++ | Evaluation | Experimentation | Go | Information Retrieval | Java | Language Models | Large Language Models | Machine Learning | Model Monitoring | NLP | Prompt engineering | Python | Recommendation Systems | Reinforcement Learning | Retrieval-Augmented Generation | Semantic Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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