Senior ML Engineer: End-to-End Production Systems

Doordashusa

San Francisco, New York, Seattle (CA, NY, WA)

Hybride

USD 168 000 - 247 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Equity opportunities
Comprehensive benefits package

Résumé du poste

DoorDash is seeking a Senior Software Engineer, Machine Learning, to design and validate ML enhancements for the catalog system and product knowledge graph in a hybrid SF Bay Area role. You will own end-to-end ML projects, mentor junior engineers, and collaborate across teams to deliver scalable ML solutions.

The role emphasizes production ML, model deployment, experimentation, and monitoring, with a compensation package including equity and comprehensive benefits.

Qualifications

  • MS/PhD in a technical field such as CS, math, statistics or physics.
  • 5+ years ML industry experience with strong understanding of ML algorithms.
  • Proficiency with AI coding tools and full SDLC (design, code, test, monitor, release).
  • Experience building data/feature pipelines at scale with PySpark and Snowflake SQL.
  • Experience building production ML systems using PyTorch, Keras, LightGBM, scikit-learn, Spark ML.

Responsabilités

  • Develop advanced ML models to improve core scope.
  • Own end-to-end ML lifecycle from ideation to post-launch monitoring.
  • Scale systems and services to support business growth.
  • Collaborate with multi-disciplinary teams and mentor juniors.

Connaissances

ML algorithms
ML lifecycle
Mentoring
Collaboration

Formation

MS/PhD in technical field

Outils

PyTorch
Keras
LightGBM
scikit-learn
Spark ML
PySpark
Snowflake SQL

Description du poste

DoorDash is seeking a Senior Software Engineer, Machine Learning, to design and validate ML enhancements for the catalog system and product knowledge graph in a hybrid SF Bay Area role. You will own end-to-end ML projects, mentor junior engineers, and collaborate across teams to deliver scalable ML solutions.

The role emphasizes production ML, model deployment, experimentation, and monitoring, with a compensation package including equity and comprehensive benefits.

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