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Senior ML Encoder

  • South San Francisco, CA, United States

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Job details

Posting language
English
Posted

Original job description

Our client, a world leader in biotechnology and life sciences, is looking for a “Senior ML Encoder”.

Location: South San Francisco, CA

Job Duration: Long-Term Contract (Possibility Of Extension)

Company Benefits: Medical, Paid Sick Leave, 401 (k)

Seeking a senior ML Encoder Lead to develop shared customer representations from longitudinal transaction, sales, and interaction data. The ideal candidate will independently define modeling objectives, build and evaluate encoder/embedding models, develop production-ready code, and determine whether the approach provides meaningful downstream value.

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.

If interested, please share your updated resume at hr@dawarconsulting.com/saurav@dawarconsulting.com.

More about this job

Skills

  • ML
  • Encoder
  • Python
  • PyTorch
  • SQL
  • Process data
  • Research
  • Communication skills

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