обновлено 4 дня назад
Research Engineer, Asta (AI)
128 880 - 193 320$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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