Machine Learning Engineer I
Tasks
- Conduct data analysis using SQL
- Deploy models and monitor production performance
- Develop machine learning models
- Implement ranking and classification models
- Improve relevance using graph and embedding methods
- Own ML models and features end to end
- Run experiments and interpret results
Perks/Benefits
- 401k match
- Equity
- Flexible PTO
- Learning stipend
- Medical/Dental/Vision insurance
- Mental health support
- Paid parental leave
- Remote work support
- Wellness stipend
Skills/Tech-stack
AWS | Azure | Classification | Cloud Computing | Code review | DPO | Dense retrieval | Embedding-based retrieval | Experiment tracking | Feature Engineering | GCP | Generative Modeling | Graph Neural Networks | Graph Representation | Graph Representation Learning | Graph-based | Graph-based learning | Language Processing | Machine Learning | Model Evaluation | Model Validation | Natural Language | Natural Language Processing | Neural Networks | Personalization | Preference Aligned Training | Production Monitoring | PyTorch | Python | RLHF | Ranking | Recommender Systems | Regression | Representation Learning | Reward Modeling | SQL | Semantic Item Tokenization | Sequence Recommendation | TensorFlow | Testing | Two-Tower | Two-Tower architecture | Version control
Education
Regions
Countries
States
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