layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

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

Machine Learning Engineer - Multimodal Modeling at Stand Insurance | LAYIQ

Design, build, and deploy machine learning systems spanning multimodal learning, physics-informed AI, digital twins, and spatial intelligence, contributing directly to core business impact
Own projects end-to-end, from problem definition and prototyping through production deployment, adoption, and ongoing performance monitoring
Develop rigorous evaluation frameworks that weigh model judgments against real business outcomes
Build on and extend scalable ML infrastructure
Partner with Stand’s Platform team on the model-harness interface
Drive cross-functional alignment, communicating decisions, tradeoffs, and status
Core Skills (Must-Haves): Deep hands-on experience designing and training multimodal models, fusing heterogeneous data (e.g., 3D/vision, simulation outputs, tabular, and text) into shared representations; strong VLM exposure
Experience building and post-training multi-step LLM agents that call external tools and interact with environments, including evaluating if a trajectory reflects appropriate judgment and user constraints
A record of bringing models of this class to production: training at scale, evaluation, deployment, and iteration on live systems
Experience applying ML to complex physical systems. We are agnostic to the domain: atmospheric, molecular, protein, robotics, fluid dynamics, or other physics-grounded modeling all carries over
Strong project ownership and execution: planning, prioritization, and delivery of complex technical work
Ability to operate across disciplines, connecting technical development to business objectives
Strong, succinct communication and judgment to balance R&D, delivery timelines, and business impact
Highly self-motivated, proactive, and adaptable; comfortable in fast-paced, ambiguous environments
Nice to Haves: Experience with embodied AI— training agents to navigate in 3D environments
Experience with retrieval and embedding systems: vector search and similarity in latent space
Experience with geometric deep learning: point clouds, meshes, and spatially-aware architectures
Familiarity with physics-informed AI and surrogate modeling across a number of domains
Experience in startups or zero-to-one technology development
Knowledge of geospatial, remote sensing, or Earth observation datasets

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 Engineer - Multimodal Modeling

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