Назад
4 дня назад

Machine Learning Engineer (AI)

230 000 - 322 000$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Machine Learning Engineer (AI): Building scalable machine learning infrastructure and end-to-end notification pipelines for relevance, targeting, ranking, and personalization across push, email, and in-app channels with an accent on recommender systems, distributed systems, and production ML serving. Focus on designing experimentation frameworks, deploying high-scale models, integrating event-driven infrastructure, and solving complex personalization challenges for millions of users.

Location: San Francisco, CA; full-time telecommuting is an option. The posting and compensation information are for U.S.-based roles.

Base salary: $230,000.00–$322,000.00 USD per year, plus potential equity and, depending on the position, commission.

Company

Reddit operates a large-scale online community platform built around user-generated discussions, interests, and communities.

What you will do

  • Design, build, and maintain scalable ML infrastructure for notification relevance, targeting, ranking, and personalization across push, email, and in-app channels.
  • Develop end-to-end notification pipelines covering data ingestion, feature computation, model training, evaluation, deployment, and online serving.
  • Collaborate with data scientists, product managers, and engineers to define requirements and deliver notification solutions.
  • Design and implement experimentation frameworks, including A/B testing and multi-armed bandits.
  • Mentor engineers and provide technical guidance on machine learning engineering, distributed systems, and ML infrastructure.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline.
  • Five years of experience in the offered role or a related occupation.
  • Experience designing large-scale software systems and high-scale ML recommender systems.
  • Object-oriented programming with Python, Golang, or Java, and model development with PyTorch or TensorFlow.
  • Experience with APIs, distributed storage and caching, messaging systems, workflow orchestration, analytics platforms, and observability tools.
  • Experience designing, running, and analyzing A/B experiments to optimize system performance.

Culture & Benefits

  • Comprehensive healthcare and income replacement programs.
  • 401(k) with employer match.
  • Global benefits supporting workspace, professional development, caregiving, family planning, and mental health.
  • Gender-affirming care and coaching benefits.
  • Flexible vacation, paid volunteer time off, and paid parental leave.

Hiring process

  • Submit a resume with references through the application process or by email.
  • Some interviews may be recorded, transcribed, and summarized by AI; candidates can opt out before scheduled interviews.

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