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Machine Learning Engineer - Multimodal Modeling
Summary by AIEngineer.careers
Machine Learning Engineer - Multimodal Modeling is a Machine Learning Engineer role (full-time). with Stand Insurance. in SAN FRANCISCO, US. Compensation shown: $250K–$295K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
SAN FRANCISCO · US
$250K–$295K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Stand Insurance is seeking a Machine Learning Engineer to focus on multimodal modeling. The role involves designing, training, and deploying advanced AI capabilities, with a specific emphasis on physical simulation and 3D representations.
Responsibilities
- Design and implement multimodal machine learning models
- Develop and train AI systems for physical simulation
- Create and optimize 3D representation algorithms
- Deploy AI capabilities into production environments
Requirements
- Experience in machine learning engineering
- Background in multimodal modeling techniques
- Knowledge of physical simulation and 3D representations
- Strong programming skills in Python or similar languages
Nice to Have
- Experience in the insurance or fintech domain
- Publications or contributions to open-source ML projects
- Familiarity with large-scale distributed training
Tech Stack
SI
Stand Insurance
San Francisco · US · 80+ employees
Stand (Stand Protect, Inc.) is a homeowners insurance company that uses physics-based AI models and satellite imagery to assess risks related to wildfires, hurricanes, and other perils. The company provides tailored insurance policies and risk-mitigation plans for high-value properties in climate-impacted regions.
