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2 дня назад

Senior Machine Learning Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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 operating scalable ML systems for a massive media ecosystem with an accent on production-grade pipelines, model deployment, and infrastructure architecture. Focus on shipping AI-first capabilities that drive measurable business metrics for an audience of over 100 million people.

Location: Must be based in or able to relocate to the Bay Area (San Francisco/Peninsula) or NYC. Role is hybrid (expected ~2 days per week in-office).

Company

A multifaceted media and entertainment company founded by Jimmy Donaldson, focused on revolutionizing digital content creation and social impact.

What you will do

  • Design and implement scalable ML systems and services for production environments.
  • Develop, evaluate, and optimize models to solve real business problems.
  • Build and maintain end-to-end ML pipelines including data processing, feature engineering, and deployment.
  • Establish robust monitoring, observability, and model-performance tracking.
  • Partner with product, data science, and engineering teams to define and ship ML solutions.
  • Drive architecture decisions for ML infrastructure and mentor engineers on best practices.

Requirements

  • 8+ years of experience in software or ML engineering.
  • Strong experience deploying and operating ML systems in production.
  • Solid proficiency in Python and software engineering practices.
  • Experience designing scalable distributed systems and data-intensive applications.
  • Evidence-driven mindset with a focus on measurable outcomes.
  • Must be authorized to work in the US and able to work in a hybrid capacity in SF or NYC.

Nice to have

  • Experience with MLOps platforms and automated model lifecycle management.
  • Knowledge of cloud-native ML architectures and distributed training.
  • Background in responsible AI and model governance.
  • Experience leading technical initiatives across multiple teams.

Culture & Benefits

  • Competitive salary and highly competitive equity package.
  • Comprehensive medical, dental, and vision insurance (Blue Cross Blue Shield).
  • 401k plan with company matching and HSA contributions.
  • Flexible vacation policy and paid company holidays.
  • Relocation assistance provided, including travel and temporary housing for the first 90 days.

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