Staff Applied ML Engineer
Tasks
- Build ML predictive features
- Collaborate with product and engineering teams
- Create training datasets
- Design batch and real time inference services
- Develop machine learning models
- Evaluate models and run experiments
- Integrate ML predictions into backend products
- Monitor models and retrain iteratively
- Own ML lifecycle from exploration to deployment
Perks/Benefits
- Birthday leave
- Continuous learning
- Flexible hours
- Home office setup allowance
- Life insurance
- Mentorship
- Parental leave
- Remote-first
- Unlimited annual leave
Skills/Tech-stack
A/B | A/B Testing | APIs | AWS | B testing | Classification | Data Pipelines | Experimentation | Feature Engineering | Inference | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Python | Ranking | Recommendation Systems | Regression
Education
N/A
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