Senior Applied Scientist, Machine Learning
Tasks
- Apply reinforcement learning methods
- Build contextual recommendation systems
- Collaborate with marketing product sales and engineering
- Design and execute A/B tests
- Develop and deploy machine learning models
- Implement experimentation frameworks
- Integrate generative AI tools into ML lifecycle
- Lead research implementation and delivery of applied AI models
- Optimize pricing and consumer journey models
Perks/Benefits
- 401k retirement plan
- Flexible work hours
- Life insurance
- Long-Term Disability coverage
- Medical, dental & vision coverage
- Paid Company Holidays
- Paid parental leave
- Short-term disability
- Sick time
- Support for community involvement
- Unlimited paid time off
- Vacation time
Skills/Tech-stack
A/B | A/B Testing | Autoencoders | B testing | Contextual Bandits | Deep Recommender Systems | Deep learning | Epsilon Greedy | Feature Engineering | Machine Learning | Model Validation | Multivariate Testing | PyTorch | Python | Q-learning | Random Forest | Recommender Systems | Reinforcement Learning | Representation Learning | SARSA | SQL | SVM | Scikit-learn | Thompson Sampling | Upper Confidence Bound | XGBoost
Education
N/A
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