Machine Learning Engineer I
Tasks
- Collaborate with data scientists and product managers
- Contribute to deployment and monitoring
- Contribute to model evaluation and experimentation
- Develop machine learning models
- Improve personalization and matching at scale
- Iterate on machine learning features
- Support end-to-end ML lifecycle
- Support responsible AI explainability fairness and quality
Perks/Benefits
- 401k match
- Commuting support
- Equity
- Fertility benefits
- Flexible PTO
- Free lunch
- Gym membership
- Internet stipend
- Learning stipend
- Medical/Dental/Vision
- Mental health support
- Paid parental leave
- Wellness stipend
Skills/Tech-stack
AWS | Azure | Classification | Deep learning | Embedding | Experiment tracking | Experimentation | Explainable AI | Feature Engineering | Feature Pipelines | GCP | Graph Neural Networks | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | NLP | Neural Networks | PyTorch | Python | Ranking | Recommendations | Regression | Retrieval-Augmented Generation | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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