Machine Learning Engineer, Personalization and Recommendations
Tasks
- Advance evaluation methodologies
- Apply industry research trends
- Build retrieval and serving systems
- Design personalization models
- Develop training evaluation deployment pipelines
- Ensure responsible personalization privacy fairness
- Mentor engineers
- Monitor reliability training serving consistency
- Optimize distributed training inference latency
- Support A/B testing
- Translate learner objectives into modeling goals
Perks/Benefits
- 401k match
- Commuter benefits
- Dental insurance
- FSA
- Flexible work schedule
- HSA
- Health insurance
- LinkedIn Learning access
- Onsite work 3 days per week
- Paid family leave
- Vacation days
- Vision insurance
- Volunteer time off
- Wellness benefits
Skills/Tech-stack
A/B | A/B Testing | AUC | B testing | CTR | Calibration | Distributed Training | Drift Detection | Embeddings | Experiment design | Faiss | Feature Engineering | Feature Store | GPUs | Inference | MLOps | Machine Learning | Model Registry | Monitoring | NDCG | Personalization | PyTorch | Python | Ranking | Recommender Systems | Responsible AI | Retrieval | ScaNN | Transformers | Two Tower Models | Two-Tower | Vector Search
Education
N/A
Regions
Countries
States
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