Senior Machine Learning Scientist (Experiences)
Tasks
- Collaborate with engineering on compute and GPU requirements
- Define model failure modes and confidence thresholds
- Diagnose algorithmic bugs and silent failures concept drift
- Implement automated checks for production feature shifts
- Implement validation automation backtesting and slice evaluation
- Lead machine learning projects and custom model components
- Lead post mortems and corrective actions
- Mentor machine learning scientists and review experimental rigor
- Optimize models for production performance
- Own machine learning strategy for discovery engine
Perks/Benefits
- Donation matching
- Employee assistance program
- Flexible schedule
- Generous referral scheme
- Health benefits
- Lifestyle benefit
- Remote friendly work option
- Travel perks
- Tuition assistance
Skills/Tech-stack
Agentic AI | Backtesting | Data Versioning | Deep learning | Experiment tracking | Feature Engineering | Generative AI | Graph Neural Networks | Knowledge Distillation | Knowledge graphs | Machine Learning | Multi-Modal | Multi-modal representation learning | Multi-task Learning | Neural Networks | PyTorch | PyTorch Lightning | Python | Quantization | Ranking | Representation Learning | Retrieval | Sequential Recommendation | TensorFlow
Education
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