Why Weave Exists

At Weave, our mission is to evolve how therapeutic knowledge is communicated, transformed, and worked upon. We are doing so by equipping human minds with AI instruments to enable the best drugs to be brought to patients as rapidly, safely, and inexpensively as possible.

The Weave Platform streamlines regulatory submission preparation and lifecycle management by imbuing most aspects of the workflow with AI, including data organization, drafting, review, and verification. Weave is building the foundation for a singular AI workbench for the entire therapeutic lifecycle.

The Role & Your Mission

Weave accelerates the way therapeutic knowledge is created, organized, and shared. The Research team fuels the engine running that mission—turning novel and state-of-the-art AI into practical and impactful capabilities and open science contributions. Your work will:

Super-charge Weave's people with internal tools that cut busy-work for product, engineering, and commercial teams. Elevate our platform by inventing and benchmarking algorithms that make LLM-powered workflows much more reliable and robust. Advance the field through peer-reviewed papers, open datasets, and collaborations with leading academic & industry labs.

What You'll Own

Invent & prototype new ideas: turn white-board ideas into controlled experiments and live demos. Push LLM frontiers: combine large-language models with retrieval, symbolic reasoning, or classic ML; optimize for accuracy, reliability, robustness, latency, and cost. Measure ruthlessly: Define crisp hypotheses, select fit-for-purpose metrics (incl. human-in-the-loop), run statistically sound studies, and iterate fast. Publish & open-source: Write high-quality papers, release evaluation suites, and present at NeurIPS/ACL/ICML—or local meet-ups if that's your style. Seed the future: Maintain a balanced portfolio: near-term product wins, mid-term reliability projects, and "moon-shot" research that could 10× our differentiation. Level-up the team: Lead paper clubs, mentor interns & junior scientists, and model best practices in reproducible science and kind collaboration.

What You'll Bring

PhD (or equivalent depth) in ML, Physics, Math, Engineering, computational linguistics, or a closely related field. Proven research chops: First-author publications at top venues (NeurIPS, ACL, ICML, EMNLP, etc.). LLM mastery: experience fine-tuning, prompt-engineering, and augmenting models with external knowledge/tooling. Experimental rigor: fluent in benchmarking, statistical testing, and clear visualization of complex results. Production-grade coding: Python + ML stacks (PyTorch/JAX), version control, and comfort reading & contributing to large codebases; bonus for database fluency (Neo4j, Postgres, MongoDB). Storytelling skills: you can explain a log-probability trick to executives and translate product pain-points into concrete research questions. Bonus points for: open-source maintainer experience, safety/bias evaluation expertise, or a successful track record of bridging academia and industry.

What We Offer

The opportunity to work at a modern, cutting-edge healthcare technology company devoted to meaningful positive impact on human life. Collaboration, velocity, and customer obsession are our baseline, demonstrations of craftsmanship and ROI are celebrated.

Competitive salary and equity packages.

Comprehensive health, dental and vision insurance

️ Take care of you and yours: generous PTO, parental leave, OneMedical, TalkSpace, Teladoc.

Career development opportunities within a company entering a growth phase.

This position is based in San Francisco with flexibility to occasionally work remote.

Equal Opportunity Employer: We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #J-18808-Ljbffr