Senior Machine Learning Engineer, Agentic
Tasks
- Analyze experimental data and generate insights
- Build reusable machine learning libraries
- Design reinforcement learning algorithms
- Develop and implement ranking and recommendation models
- Evaluate machine learning research
- Integrate machine learning models into product
- Maintain documentation for models experiments and results
- Run A B testing and experimentation
Perks/Benefits
- 401-K matching
- Fertility benefits
- Health insurance
- Life and disability insurance
- Mental health benefits
- Paid time off
- Parental leave
- Sick time
- Wellness benefits spending account
Skills/Tech-stack
A/B | A/B Testing | B testing | Collaborative Filtering | Content-Based Filtering | Content-based | Exploration/exploitation | Hybrid Models | Kafka | Kubernetes | Learning-to-Rank | Machine Learning | Multi-Armed Bandits | PyTorch | Python | Ranking | Recommendation Systems | Reinforcement Learning | SQL | Spark | Statistical Testing | TensorFlow | XGBoost
Education
N/A
Regions
Countries
States
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