Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)
Tasks
- Apply reinforcement learning to bidding strategy
- Build production machine learning pipelines
- Collaborate with engineering on model deployment
- Communicate research findings to stakeholders
- Conduct A/B testing
- Design ranking and recommendation models
- Develop user understanding systems
- Incorporate LLMs into recommendation models
- Perform offline model evaluation
- Run causal inference experiments
Perks/Benefits
- Commute subsidy
- Employee resource groups
- Employee stock ownership
- Generous vacation
- Global employee assistance program
- Mental health programs
- Office Food 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 | Experimentation infrastructure | Feature Engineering | Human Feedback | LLM post training | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Offline evaluation | Optimization | Post-training | Preference Learning | Probabilistic Modeling | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | TensorFlow
Education
Regions
Countries
States
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