Senior ML Encoder

Required Skills & Qualifications

• Proven experience personally training encoder or embedding models and designing pretraining objectives.
  
• Deep expertise in representation learning, including self-supervised/contrastive learning, sequence/temporal modeling, transformers, GNNs, or recommender embeddings.
  
• Experience with large-scale, sparse, longitudinal event data such as transactions, clickstreams, customer journeys, or engagement histories.
  
• Experience developing inductive representations for entities with limited historical data.
  
• Strong model evaluation skills, including time-based splits, leakage detection, cold-start analysis, uncertainty, and robust baselines.
  
• Ability to evaluate embeddings for incremental signal, calibration, stability, drift, and subgroup performance.
  
• Strong Python skills with PyTorch or JAX, SQL, distributed data processing, and cloud-based model training.
  
• Experience taking ML models from research to production, including pipelines, data contracts, versioning, serving, monitoring, and reproducibility.
  
• Strong communication skills with the ability to present findings, uncertainty, and recommendations to senior stakeholders.
  

Preferred Skills

• Customer-360 representations, behavioral embeddings, recommender systems, or foundation models.
  
• Knowledge of privacy, fairness, and re-identification risks in learned representations.
  
• Publications, patents, or public applied work in representation learning.
  
• Experience with large-scale behavioral data in consumer technology, marketplaces, streaming, financial services, payments, or advertising technology.