AI Research Scientist at Weave

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

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
Storytelling skills: ability to 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

Responsibilities

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
Collaborate with cross-functional teams: work with product, engineering, and commercial teams to integrate AI solutions into their workflows
Participate in open-source projects: contribute to open-source maintainer experience, safety/bias evaluation expertise, or a successful track record of bridging academia and industry

Skills

Key technologies and capabilities for this role

AILLMMachine LearningLarge Language ModelsAlgorithm DevelopmentExperiment DesignStatistical AnalysisSoftware DevelopmentProblem-SolvingResearchData Analysis

Questions & Answers

Common questions about this position

What qualifications are required for the AI Research Scientist role?

Candidates need a PhD (or equivalent depth) in ML, Physics, Math, Engineering, computational linguistics, or a related field, with proven research experience including first-author publications at top venues like NeurIPS, ACL, ICML, and EMNLP.

What technical skills are essential for this position?

Key skills include LLM mastery with experience in fine-tuning, prompt-engineering, and augmenting models; experimental rigor in benchmarking and statistical testing; and production-grade coding in Python + ML stacks like PyTorch/JAX, plus version control.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What does the team culture look like at Weave?

The Research team emphasizes kind collaboration, reproducible science, leading paper clubs, mentoring interns and junior scientists, and advancing the field through publications and open-sourcing.

Weave

Patient communication solutions for healthcare providers

About Weave

Weave provides patient communication solutions tailored for dental and optometry practices. Its platform includes tools for scheduling appointments, sending reminders, managing patient reviews, and enabling two-way texting and calling. This helps healthcare providers interact with patients more effectively and manage their daily tasks. Weave also offers features like virtual waiting rooms and remote communication options, which are especially useful during the COVID-19 pandemic. The company operates on a subscription-based model, allowing clients to pay a recurring fee for access to its services, which vary based on practice size and needed features. By focusing on improving operational efficiency and patient satisfaction, Weave distinguishes itself from competitors in the healthcare technology market.

Lehi, UtahHeadquarters

2008Year Founded

$143MTotal Funding

IPOCompany Stage

Enterprise Software, HealthcareIndustries

501-1,000Employees

Risks

Increased competition from fast-growing companies like Pure Healthcare.

Slow adoption of digital payment solutions in healthcare may hinder Weave's features.

Economic downturns could affect subscription-based revenue models for healthcare practices.

Differentiation

Weave integrates AI tools for enhanced communication and scheduling in healthcare.

Weave offers a comprehensive suite of tools for dental and optometry practices.

Weave's platform supports virtual waiting rooms and remote communication options.

Upsides

Weave's new platform interface integrates AI for improved user experience.

Payment Reminders feature helps healthcare practices collect outstanding balances efficiently.

Weave's partner marketplace enhances operational efficiency for healthcare practices.

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