Research Engineer, Asta
Core
Building infrastructure and AI tools to accelerate scientific discovery in domains like biology, cancer research, and neuroscience using agentic workflows and LLMs.
Role type
Research Engineer (Agentic Systems & ML Infrastructure)
Builds
Infrastructure for next-gen LLM and agentic research; AI tools for scientific discovery; open-source software and model releases.
Domain
AI/ML, Natural Language Processing, Scientific Discovery (Biology, Neuroscience, Social Science)
Deliverable
production ML models | infrastructure | research
Required skills
Building ML infrastructure, agentic planning/reasoning/learning, data preprocessing/transformation, deep learning, NLP, reinforcement learning, Python, PyTorch/Jax/Tensorflow, cloud compute (GCP/AWS/Modal), containerization (Docker)
Preferred skills
Advanced degree in CS/ML/NLP, open-source contributions, operating at scale in production, HPC experience
Technologies
Python, PyTorch, Jax, Tensorflow, MCP, Docker, GCP, AWS, Modal
Responsibilities
Building infrastructure to facilitate LLM and agentic research; Creating AI tools for scientific discovery; Designing, building, and training ML models for agentic workflows; Bridging research to product; Bringing software engineering best practices to research; Supporting open-source community; Releasing contributions as open source software/models/APIs/datasets.
Seniority
Mid-level, hands-on IC
