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10 дней назад

Staff Machine Learning Engineer (Personalization)

203 500 - 299 300$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Machine Learning Engineer (Personalization) (Causal Inference/Recommendation Systems): Building production machine learning solutions that make consumer search and shopping experiences more relevant across grocery, convenience, and retail categories with an accent on personalization, causal inference, and recommendation systems. Focus on designing and shipping high-impact ML models, applying rigorous testing, and leading cross-functional pods while mentoring engineers.

Location: Hybrid role based in San Francisco, CA or Sunnyvale, CA, United States, with some time in-office and some time remote.

Salary: $203,500–$299,300 USD base salary annually, plus potential equity grants.

Company

hirify.global operates an on-demand logistics engine for last-mile retail delivery, including grocery and convenience delivery.

What you will do

  • Develop production machine learning solutions for personalized shopping experiences across grocery, convenience, and retail categories.
  • Conceptualize, design, implement, and validate algorithmic improvements for growth and personalization experiences.
  • Use data and machine learning infrastructure to improve the relevance and seamlessness of consumer search.
  • Partner with engineering and product leaders to shape the product roadmap through machine learning.
  • Lead cross-functional pods and mentor junior team members.

Requirements

  • 8+ years of industry experience developing machine learning models with business impact and shipping ML solutions to production.
  • Expertise in applied machine learning for causal inference and recommendation systems, using classical and deep learning approaches.
  • Machine learning experience with Python; PyTorch or TensorFlow experience is preferred.
  • Proficiency with AI coding tools such as Claude Code, Codex, or Cursor across the software development lifecycle.
  • Master’s or PhD in statistics, computer science, mathematics, operations research, physics, economics, or another quantitative field.
  • Ability to communicate technical details to nontechnical stakeholders and work collaboratively across disciplines.

Nice to have

  • Familiarity with explore/exploit methods, multi-armed bandit algorithms, or large language models.

Culture & Benefits

  • Hybrid work arrangement with a combination of office and remote work.
  • 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, mental health, and family-forming assistance benefits.

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