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Senior Machine Learning Engineer, Content Platform

141 300 - 360 700$
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, Content Platform (Generative AI and Vision Models): Building machine learning products and a content knowledge platform that improves content quality and powers Search, Recommendations, Ads, and Voice with an accent on scalable model architecture, production ML, and MLOps. Focus on defining the ML roadmap, integrating generative AI and vision models, and translating long-term research into measurable production improvements.

Location: San Jose, United States; hybrid working with office attendance generally required Monday through Thursday and flexible remote work on Fridays

Salary: $141,300–$360,700 annual base salary for California

Company

hirify.global is a public TV streaming platform connecting consumers, content publishers, advertisers, and television ecosystems.

What you will do

  • Define the machine learning roadmap for the Content Platform.
  • Design scalable model architectures and production-ready MLOps infrastructure.
  • Build machine learning products using Generative AI and vision models to improve content quality and user engagement.
  • Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals.
  • Balance long-term research and strategy with incremental delivery of measurable production improvements.
  • Bridge AI research and product delivery while providing technical and operational leadership.

Requirements

  • 10+ years of experience in software or machine learning engineering.
  • Bachelor’s or master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Deep theoretical and practical understanding of machine learning.
  • Proven experience deploying large-scale machine learning models into production.
  • Experience with LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools.
  • Ability to explain complex models to executives and discuss architecture with experienced engineers.

Culture & Benefits

  • Collaborative, fast-paced environment focused on practical problem-solving and product delivery.
  • Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
  • Access to mental health and financial wellness support.
  • Retirement options, including 401(k) or pension plans depending on location.
  • AI agents and automation tools are used to support coding, analysis, drafting, and repetitive workflows.

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