Назад
Company hidden
5 дней назад

Staff Software Engineer, Machine Learning

203 500 - 299 300$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →