Engineer I, Data Scientist - New Grad (Hybrid)
Tasks
- Apply machine learning and AI to improve product capabilities
- Build embedding based search systems
- Deploy machine learning techniques for accurate models
- Develop AI-driven prototypes
- Develop automated tests for software quality
- Develop, test, and deploy machine learning models
- Fine-tune language models
- Participate in architecture, design, and code reviews
- Research and iterate on feature engineering
- Write production ready code for real time decisions
Perks/Benefits
- Adoption leave
- Employee networks
- Hybrid work schedule
- Paid Holidays
- Paid parental leave
- Paid time off
- Professional development opportunities
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
Blob Storage | Embeddings | Fine Tuning | Forecasting | Go | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | Real Time | Real-time Systems | Retrieval-Augmented Generation | S3 | SQL | Scikit-learn | TensorFlow | Time Systems
Education
Roles
Regions
Countries
States
Cities
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