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2 дня назад

Research Engineer (AI)

180 000 - 400 000$
Формат работы
onsite
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
Research Engineer (AI): Building and scaling large-scale training and inference infrastructure, distributed systems, and production AI capabilities across world modeling, forecasting, user modeling, and optimization with an accent on reliable systems and customer-embedded deployment. Focus on rapidly prototyping AI systems, scaling research ideas into production, and developing reusable features and abstractions for Mosaic.

Location: Onsite in New York City or Boston, United States

Salary: $180K–$400K plus equity

Company

hirify.global applies frontier AI to transform critical institutions in healthcare, manufacturing, energy, and other industries through embedded engineering, product, research, and its Mosaic toolkit.

What you will do

  • Build and own large-scale training and inference infrastructure and reliable distributed systems supporting research across world modeling, forecasting, user modeling, and optimization.
  • Prototype, build, and deploy AI systems using real users, data, and production constraints.
  • Prioritize infrastructure and tooling that connect long-term research goals with near-term business value.
  • Work directly in customer environments as an embedded technical partner, building trust and adapting systems to customer data and infrastructure.
  • Contribute features, patterns, and abstractions to Mosaic and create reusable transformation playbooks with Embedded Product Managers.
  • Iterate from user feedback and collaborate with technical and non-technical stakeholders to drive adoption and trust.

Requirements

  • Experience with high-performance, large-scale distributed systems.
  • Ability to scale research ideas into production systems.
  • Proven execution in ambiguous, fast-moving environments.
  • Excellent communication with technical and non-technical stakeholders.
  • Motivation to work on high-leverage infrastructure and systems supporting multiple research tracks.
  • Enjoyment of extreme ownership and passion for AI's transformative potential.

Nice to have

  • Large-scale model training and inference.
  • LLM post-training recipes.
  • Experience with vLLM, SGLang, Ray, and Kubernetes.
  • Distributed checkpointing and multi-node or multi-GPU training.
  • Asynchronous training and inference, including VeRL, ROLL, SkyRL, AReaL, or asynchronous reinforcement learning libraries such as CleanRL.

Culture & Benefits

  • Office-first environment focused on in-person collaboration, autonomy, trust, and outcomes over outputs.
  • Competitive compensation, equity, 401(k) matching, comprehensive health and family benefits, and daily lunch.
  • Values include ambitious problem-solving, customer outcomes, high-agency decisions, direct communication, execution excellence, and kindness.
  • The role involves meaningful, high-intensity work and is not limited to a fixed 9-to-5 schedule.
  • Equal opportunity employment with reasonable accommodations for qualified applicants and employees.

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