Stand
Machine Learning Team Lead
San Francisco · Exec · Full-time
No sponsorship$250k-$295kDetected 49 days ago
Machine LearningData EngineeringComputer VisionLLMsAgentic AISensorsResearchLeadershipCommunicationMentoringAdaptabilityUnderwritingRemote Sensing
About the role
- We use advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss occurs.
- Insurance is simply the current delivery mechanism.
- The real product is a scalable risk engine, our Stand World Model https://frontier.standinsurance.com.
Responsibilities
- Manage and grow the team, running 1-on-1s and growth conversations, giving direct and timely feedback, managing performance, and mentoring engineers as the team scales
- Own projects end-to-end, from problem definition and prototyping through production deployment, adoption, and ongoing performance
- Guide, support, and build scalable ML infrastructure, including data pipelines, training systems, evaluation frameworks, and production monitoring
- Drive cross-functional alignment, coordinating across Applied Science and the business and clearly communicating modeling decisions, tradeoffs, and status
- Why Join Stand https://www.standinsurance.com/careers/why-stand/: At Stand, you'll help build a new class of global property protection.
Requirements
- Ability to operate across disciplines, connecting technical development to business objectives and customer impact, and articulating those links to the team
- Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas.
Skills
- Proficiency with modern ML tooling and infrastructure
- Strong, succinct communication and the judgment to balance research depth, delivery timelines, and business impact
- Nice to Haves:
- Prior experience as a people manager, specifically in high-growth environments
- Experience with computer vision, multimodal learning, or spatially-aware architectures
- Familiarity with building agentic systems and LLM-powered workflows
- Experience in startups or zero-to-one technology development
- Knowledge of geospatial, remote sensing, or Earth observation datasets and systems
Compensation
- The annual base salary range for full-time employees in this position is $250,000 to $295,000 plus meaningful Equity Grant.
- Compensation decisions are dependent on several factors including, but not limited to, an individual's qualifications, location where the role is to be performed, internal equity, and alignment with market data.
Benefits
- Above-market Health, Dental, and Vision coverage
- Weekly lunch stipend
- Flexible time off + holidays
- Commuter benefits
- PAT & MAT Leave
- Short-Term and Long-Term Disability
- In-office perks
Company info
- We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.
- We are committed to providing reasonable accommodations for qualified individuals.
Equal opportunity
- Employment
- Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.
- We are committed to providing reasonable accommodations for qualified individuals. If you require assistance
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Visa & Work Authorization
- Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas.
- We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining.
This listing is sourced directly from Stand's careers page and normalized into a canonical job model.