Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)
Tasks
- Apply reinforcement learning to bidding and auction strategy
- Build LLM and RLHF based recommendation systems
- Communicate research findings to technical and non-technical stakeholders
- Design ranking and recommendation models
- Develop user understanding and value estimation systems
- Partner to deploy models in production ML pipelines
- Run A B testing and causal inference experiments
Perks/Benefits
- Commute subsidy
- Comprehensive health insurance
- Disability insurance
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Generous vacation
- Life insurance
- Mental health programs
- Office snacks
- Parental leave
- Retirement pension plans
- Training and development programs
- Volunteering and donation matching
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Human Feedback | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Offline evaluation | Optimization | Preference Learning | PyTorch | Python | Ranking | Recommendation Systems | Reinforcement Learning | Reinforcement Learning from Human Feedback | TensorFlow
Education
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