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Research Engineer, Asta (AI)

128 880 - 193 320$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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, Asta (AI): Building infrastructure, machine learning models, and AI tools for scientific discovery with an accent on agentic systems, language models, and research-to-product engineering. Focus on designing training, evaluation, inference, and deployment workflows, developing long-running research agents, and releasing open-source software and models.

Location: Seattle, Washington; expected to work from the Seattle offices

Base salary: $128,880–$193,320 per year, plus bonus plans.

Company

hirify.global is a Seattle-based nonprofit AI research institute developing open models, data, software, robotics, and other research intended to accelerate science and solve major problems.

What you will do

  • Build infrastructure for next-generation LLM and agentic research.
  • Create AI tools for scientific discovery in biology, cancer research, neuroscience, social science, and related domains.
  • Design, build, and train machine learning and language models for agentic workflows.
  • Bridge cutting-edge research with widely adopted products and apply software engineering best practices in a research environment.
  • Collaborate with open-source communities and release software, models, APIs, datasets, and technical reports.

Requirements

  • Bachelor’s degree in computer science, engineering, data science, applied mathematics, statistics, machine learning, natural language processing, or a related field, or equivalent experience.
  • At least 2 years of experience building agentic infrastructure and at least 2 years building data and machine learning infrastructure for preprocessing, training, evaluation, inference, and deployment.
  • Knowledge of modern deep learning, natural language processing, and reinforcement learning.
  • Strong software engineering, performance, debugging, collaboration, and communication skills.
  • Experience with Python, PyTorch, JAX or TensorFlow, and agentic frameworks such as MCP; familiarity with cloud computing and Docker.
  • Must be authorized to work in the United States; employment authorization is verified through E-Verify.

Nice to have

  • Advanced degree or equivalent engineering experience.
  • Contributions to open-source machine learning or research libraries.
  • Experience operating production systems at scale or working in HPC environments.
  • Curiosity about AI research.

Culture & Benefits

  • Open-source research environment with published data, models, software, papers, and public APIs.
  • Learning opportunities through Ai2 Academy lectures, guest experts, and ongoing education.
  • Collaborative, transparent, inclusive workplace focused on diversity and joint problem solving.
  • Medical, dental, vision, employee assistance, HSA, HRA, and flexible spending account plans.
  • 401(k), annual bonuses, long-term incentive plan, paid vacation, sick leave, personal days, family leave, and paid holidays.
  • Monthly commuting or internet and fitness and wellbeing allowances.

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