Machine Learning Engineer I, Network
Tasks
- Apply best practices for model development evaluation and deployment
- Build machine learning models for search and recommendations
- Create features train models and evaluate performance
- Develop test and deploy machine learning models in production
- Implement retrieval ranking personalization and experimentation systems
- Measure impact using experimentation and marketplace metrics
- Monitor production models for quality reliability latency and scalability
- Participate in technical design code reviews and team planning
- Translate product and business needs into machine learning solutions
Perks/Benefits
- 401k match
- Commuting support
- Flexible PTO
- Gym access
- Internet support
- Learning stipend
- Medical, dental & vision coverage
- Mental health support
- Paid parental leave
- Remote work support
- Wellness stipend
Skills/Tech-stack
Data Pipelines | Deep learning | Embeddings | Experiment tracking | Feature Engineering | Graph Neural Networks | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | Ranking Systems | Recommender Systems | Retrieval systems | Scikit-learn | TensorFlow
Education
N/A
Regions
Countries
States
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