Research Engineer, Asta

About the role

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team.

Responsibilities

• Building infrastructure to facilitate the next generation of LLM and agentic research.
• Creating AI tools to facilitate scientific discovery in domains such as biology, cancer research, neuroscience, social science, etc.
• Designing, building, and training machine learning or language models for agentic workflows.
• Bridging the gap between cutting-edge research and a widely adopted product.
• Bringing software engineering best practices to a research environment.
• Supporting and collaborating with an open-source community.
• Releasing your contributions back to the broader community in the form of open source software, model releases, and additions to Ai2’s public API and open research datasets, as well as technical reports.

Requirements

• A bachelor’s degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise in building ML infrastructure.
• 2+ years of experience building agentic infrastructure that handles tools, skills, and other artifacts.
• 2+ years of experience building infrastructure that handles data preprocessing/transformation and machine learning model training, evaluation, inference, and deployment.
• Knowledge of modern deep learning, natural language processing, and reinforcement learning techniques.
• Strong software engineering skills, particularly around building performant systems and debugging.
• Must have experience with Python and PyTorch/Jax/Tensorflow, agentic frameworks (e.g., MCP), as well as feel at ease in picking up new programming languages, libraries, or APIs as tools as project needs evolve.
• Familiarity with cloud compute resources (e.g., GCP, AWS, Modal) and containerization (e.g., Docker).
• Strong collaboration and communication skills - our environment is small and collaborative, and we'd like you to thrive while working closely with others, sometimes with complementary skills/perspectives.

Qualifications

• Advanced degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience.
• Contributions to open-source ML or research libraries (e.g., spaCy, AllenNLP, transformers, langchain).
• Experience successfully operating at scale in a production setting.
• Experience in HPC settings.
• Curiosity about AI research.

Skills

• Python and PyTorch/Jax/Tensorflow.
• Agentic frameworks (e.g., MCP).
• Cloud compute resources (e.g., GCP, AWS, Modal).
• Containerization (e.g., Docker).

Benefits

• Medical, dental, vision, and an employee assistance program.
• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
• 401k plan.
• $125 per month for commuting or internet expenses and $200 per month for fitness and wellbeing expenses.
• Up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Annual bonuses and participation in the long-term incentive plan.

Pay

The base salary range is $118,800 - $178,200, and in addition we have generous bonus plans to provide a competitive compensation package.

Schedule

Not specified.