5 дней назад
Staff Software Engineer, Machine Learning
203 500 - 299 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Machine Learning (Ads/ML): Building production machine learning systems, optimization algorithms, and data infrastructure for advertising, catalog quality, and DoorDash's product knowledge graph with an accent on budget pacing, automated bidding, embeddings, and large-scale experimentation. Focus on designing end-to-end ML lifecycles, scaling data and feature engineering pipelines, and deploying monitored models that improve advertising value and platform revenue.
Location: Hybrid, with in-office time expected in San Francisco, New York City, Sunnyvale, or Seattle
Salary: $203,500–$299,300 USD base pay, plus potential equity grants
Company
operates an on-demand logistics engine and a three-sided marketplace connecting consumers, merchants, and delivery couriers.
What you will do
- Develop advanced machine learning models to improve advertising efficiency and quality.
- Design optimization algorithms for budget pacing and automated bidding.
- Build data-driven frameworks to analyze bid density, market competitiveness, advertising value, and platform revenue.
- Develop embeddings, consumer profiles, and other data solutions for audience targeting.
- Own the end-to-end ML lifecycle, including ideation, offline training, online shadowing, deployment, experimentation, and post-launch monitoring.
- Extend data and ML infrastructure and scale systems supporting Ads applications and business growth.
Requirements
- 8+ years of industry experience in machine learning.
- M.S. or PhD in computer science, mathematics, statistics, physics, or an equivalent technical field.
- Strong understanding of machine learning algorithms and fundamentals.
- Experience building production ML systems with PyTorch, Keras, LightGBM, scikit-learn, Spark ML, or related frameworks.
- Experience building large-scale data and feature engineering pipelines with PySpark and Snowflake SQL.
- Proficiency with AI coding tools such as Claude Code, Codex, or Cursor across the software development lifecycle.
Culture & Benefits
- Hybrid work with expected in-office time.
- 401(k) plan with employer matching.
- Medical, dental, vision, disability, and basic life insurance.
- 16 weeks of paid parental leave, paid time off, paid sick leave, and 11 paid holidays.
- Wellness, commuter, family-forming, and mental health benefits.
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