Research Engineer, Asta Seattle, WA View job
Core
Building infrastructure and AI tools to facilitate scientific discovery in domains like biology, cancer research, and neuroscience, bridging cutting-edge agentic research with widely adopted products.
Role type
Senior IC research engineer (agentic systems & ML infrastructure)
Builds
Infrastructure for LLM and agentic research, AI tools for scientific discovery, open-source software, model releases, and technical reports.
Domain
AI research, Machine Learning, Natural Language Processing, Human-Computer Interaction, Scientific Discovery
Deliverable
production ML models | infrastructure | product features
Required skills
building ML infrastructure, agentic planning and reasoning, data preprocessing and transformation, deep learning, natural language processing, reinforcement learning, Python, PyTorch/Jax/Tensorflow, cloud compute resources, containerization
Preferred skills
advanced degree in CS/ML/NLP, contributions to open-source ML libraries, operating at scale in production, HPC settings experience
Technologies
Python, PyTorch, Jax, Tensorflow, MCP, GCP, AWS, Modal, Docker
Responsibilities
Building infrastructure to facilitate next-generation LLM and agentic research; Designing, building, and training machine learning or language models for agentic workflows; Creating AI tools to facilitate scientific discovery; Bringing software engineering best practices to a research environment; Releasing contributions as open source software, model releases, and additions to public API and datasets
Seniority
Senior, hands-on IC
