Applied AI Engineer
Denver, CO; New York, NY; San Francisco, CA; Seattle, WA
USD 178K-330K Senior-level Full Time
Tasks
- Add drift detection and monitoring
- Build end-to-end ML systems
- Contribute to applied AI roadmap
- Create quality and safety scorecards
- Design learner embeddings for personalization
- Develop retrieval and ranking components
- Implement rag pipelines
- Implement training serving consistency
- Maintain CI CD for ML features and models
- Optimize prompts for LLM inference
- Perform instruction tuning and preference tuning
- Run A B experiments to measure success
- Run offline and online evaluations
- Support model service on call rotation
- Use canarying and rollback protocols
Perks/Benefits
- 20 vacation days
- Annual paid time off for volunteering
- Commuter benefits
- Employer-sponsored 401k with match
- FSA
- HSA
- Health, dental, and vision insurance
- LinkedIn Learning access
- Paid family leave
- Wellness benefits
Skills/Tech-stack
A/B Testing | ANN Retrieval | B testing | CI/CD | Canary Releases | DPO | Distributed Training | Drift Detection | Dual Encoders | Embedding Models | Feature Engineering | Feature Store | Fine Tuning | GPUs | Instruction Tuning | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Registry | Monitoring | Multi-task Learning | Online A/B Testing | Preference optimization | Prompt engineering | PyTorch | Python | RAG | Ranking Systems | Recommendation Systems | Retrieval systems | SFT | Search | Two Tower Models | Two-Tower
Education
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