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2 месяца назад

Senior Machine Learning Engineer (AI)

198 000 - 221 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (AI): Building and optimizing machine learning models and systems for personalization, recommendations, and trust and safety with an accent on full-stack ML development. Focus on designing scalable infrastructure and deploying models that enhance the experience for over 180 million athletes worldwide.

Location: Must be based in the San Francisco area, hybrid model with 3 days per week in-office.

Salary: $198K – $221.5K

Company

hirify.global is the leading digital community and activity tracking platform for over 180 million athletes, dedicated to motivating people to live active lives.

What you will do

  • Design, roadmap, and implement innovative machine learning algorithms.
  • Develop and maintain end-to-end ML pipelines from model building to production deployment.
  • Optimize model performance and ensure system scalability and reliability.
  • Improve ML platform tools and infrastructure to empower the broader engineering team.
  • Collaborate with product teams to integrate ML solutions into features like search and recommendations.

Requirements

  • Must be able to work in the San Francisco office 3 days per week.
  • Strong experience as a full-stack machine learning engineer or similar role.
  • Proficiency in model building, evaluation, and optimizing performance for production.
  • Experience managing ML infrastructure and enabling reliable deployment at scale.
  • Ability to design and implement complex algorithms for personalization and search.

Culture & Benefits

  • Flexible hybrid work model supporting work-life balance.
  • Equity participation in a growing, mission-driven company.
  • Inclusive workplace focused on diversity and employee growth.
  • Support for individuals with disabilities through reasonable accommodations.
  • Opportunity to build products for a massive, global community of athletes.

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