StandInsurance
Machine Learning Engineer - Multimodal Modeling
- Confirmed live in the last 24 hours
- $250k–$295k
- Mid level
- Full-time
- Remote · San Francisco
- 3+ yrs exp
- Added 2 months ago
About this role
Stand is seeking a Machine Learning Engineer to build and deploy advanced AI models that fuse physical simulations, 3D representations, and business data. This high-ownership role involves designing, training, and deploying multimodal models, particularly integrating language models, to improve underwriting, pricing, and mitigation decisions. You'll collaborate across teams to connect technical development with business objectives and drive impactful solutions within a fast-paced startup environment.
What you'll do
- Design and train multimodal model architectures.
- Build frameworks for agents within nuanced workflows.
- Develop retrieval and similarity capabilities over learned representations.
- Establish training-data pipelines and production monitoring.
- Partner with the Platform team on model integration.
- Communicate technical decisions and progress across the business.
What they're looking for
- Multimodal Modeling
- Physics-Informed AI
- Digital Twins
- Spatial Intelligence
- Machine Learning Deployment
- Vector Search
- Geometric Deep Learning
Benefits
- Health, Dental, and Vision Coverage
- Weekly Lunch Stipend
- Flexible Time Off
- 401(k) Plan
- Commuter Benefits
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StandInsurance
Likely interview questions
- Describe your experience designing and training multimodal models, specifically mentioning the challenges you encountered.
- Explain how you've built and evaluated multi-step LLM agents that interact with external tools.