Machine Learning Engineer, Discovery Recommendations
Cary,North Carolina,United States
USD 157K-230K (estimate) Mid-level Full Time
Tasks
- Build multi stage candidate generation and impression allocation pipelines
- Build user representation systems
- Collaborate on ranking signals for content quality and creator credibility
- Design retrieval ranking and reranking models for recommendations
- Develop evaluation frameworks and deploy models
- Run A B experiments and evaluate recommendation quality
- Select ML infrastructure tradeoffs for batch near realtime and streaming
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Life insurance
- Long-term disability
- Mental health program
- Paid breaks
- Paid sabbatical
- Paid time off
- Vision coverage
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | B testing | Candidate Generation | Cold Start | Counterfactual evaluation | Databricks | Deep learning | Embedding-based retrieval | Experiment design | Explore/Exploit | Generative AI | Information Retrieval | ML Infrastructure | NLP | PyTorch | Python | Ranking | Ray | Recommendation Systems | Reranking | Streaming Data | TorchRec | Transformers | Two-Tower | Two-Tower architecture | Vision
Education
N/A
Regions
Countries
States
Cities
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