Related skills
azure aws sql python google cloud📋 Description
- Build ML models powering product features and user experiences
- Work on search, recommendations, matching, and discovery systems
- Develop, evaluate, and deploy ML models in production
- Learn how large-scale ML systems are designed, optimized, and maintained
🎯 Requirements
- Currently pursuing a Doctorate in CS/Data Science or related field
- Experience in supervised/unsupervised ML and ML operations
- Python with PyTorch or TensorFlow
- Software engineering practices: version control, testing, code reviews
- Data analysis techniques and SQL
- Strong problem-solving and collaboration; good communication
- Bonus: Cloud platforms (AWS, Google Cloud, or Azure)
🎁 Benefits
- Competitive hourly compensation
- Mentorship and hands-on learning
- 5 days/week in-office experience
- Structured intern programming and team events
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