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4 часа назад

Research Engineer (AI)

225 000 - 550 000$
Формат работы
onsite
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

Текст:
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TL;DR

Research Engineer (AI): Developing and optimizing large-scale model architectures and internet-scale data pipelines with an accent on inference throughput, model training, and distributed systems. Focus on pushing the boundaries of long-context LLMs, reinforcement learning, and deploying AGI safely through hands-on technical contribution.

Location: Onsite in San Francisco, with relocation support provided.

Salary: $225,000–$550,000

Company

hirify.global is a fast-paced, research-driven startup focused on the safe development and deployment of AGI.

What you will do

  • Optimize inference throughput for novel model architectures to improve system efficiency.
  • Train trillion-parameter models on large-scale GPU clusters.
  • Design, prototype, and optimize new model architectures from the ground up.
  • Build and maintain internet-scale data pipelines and web crawlers.
  • Curate high-quality post-training datasets to enhance model capabilities.
  • Contribute to research across long-context, inference-time compute, and reinforcement learning.

Requirements

  • Strong general software engineering background.
  • Deep knowledge of current deep learning literature.
  • Hands-on experience with pre- and post-training of large language models.
  • Proven ability to ideate, prototype, and evaluate research concepts.
  • Experience designing and managing large-scale distributed systems and ETL workloads.

Culture & Benefits

  • Comprehensive 401(k) plan with 6% company matching.
  • Full health, dental, and vision insurance coverage for employees and dependents.
  • Unlimited paid time off policy.
  • Significant equity participation as part of total compensation.
  • Visa sponsorship and relocation stipend available for San Francisco.
  • Focused, small-team environment centered on integrity, quality, and hands-on collaboration.

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