layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Machine Learning Team Lead at Stand Insurance | LAYIQ

Lead the Machine Learning Engineering sub-team
, defining priorities, coordinating execution, and unblocking the team to deliver on critical AI initiatives
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
Design, build, and deploy machine learning systems spanning physics-informed AI, digital twins, computer vision, and spatial intelligence, contributing directly to core components
Own projects end-to-end
, from problem definition and prototyping through production deployment, adoption, and ongoing performance
Extend state-of-the-art models and surrogate architectures to accelerate simulation and risk analytics workflows
Guide, support, and build scalable ML infrastructure
, including data pipelines, training systems, evaluation frameworks, and production monitoring
Improve how the team works
, creating process improvements and maintaining traceability
Drive cross-functional alignment
, coordinating across Applied Science and the business and clearly communicating modeling decisions, tradeoffs, and status
Set a multi-year vision for the MLE team's impact and articulate how its work moves the business
Core Skills (Must-Haves): Proficiency with modern ML tooling and infrastructure
Experience leading engineers and technical initiatives
, delivering complex projects through others as well as through direct individual contribution
Strong project ownership and execution
: planning, prioritization, stakeholder coordination, and delivery of complex technical programs from concept through production
Experience combining physics-based modeling and machine learning
, including simulation, scientific computing, surrogate modeling, and/or physics-informed AI approaches
Ability to operate across disciplines
, connecting technical development to business objectives and customer impact, and articulating those links to the team
Strong, succinct communication and the judgment to balance research depth, delivery timelines, and business impact
Highly self-motivated
, proactive, and adaptable; comfortable in fast-paced, ambiguous environments where problems, interfaces, and priorities evolve
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

Benefits:

Above-market Health, Dental, and Vision coverage
Weekly lunch stipend
Flexible time off + holidays
401(k) plan
Commuter benefits
PAT & MAT Leave
Short-Term and Long-Term Disability
Monthly team gatherings
In-office perks
AI in the Interview Process
Thoughtful use of AI tools is expected and valued at Stand. Candidates should be prepared to discuss how they use AI, how they evaluate its output, and how it informs their work. Strong communication, sound judgment, and the ability to clearly articulate experience and decision-making remain core requirements.
Some parts of the interview process are designed to assess independent thinking, communication, and problem-solving. If you plan to use an AI assistant or LLM during any portion of an interview, please discuss it with your interviewer in advance.
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.
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.
AI Use in Hiring
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Machine Learning Team Lead

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