Job Description
Build production systems that bring 3D AI models to life in real-world applications
Ready to bridge cutting-edge 3D computer vision research with robust, scalable production systems? This ML Engineer role focuses on deploying 3D perception models into live agentic workflows where reliability and performance are paramount.
You'll be joining a well-funded startup developing AI agents for advanced design and manufacturing. Your role centres on creating the infrastructure that makes 3D understanding truly practical - from real-time inference pipelines to comprehensive monitoring systems that ensure geometry-aware agents perform reliably in production.
This position offers the opportunity to shape how 3D AI models integrate into agent decision-making pipelines. You'll work closely with applied scientists to productionise breakthrough research whilst building robust systems that handle the unique challenges of geometric data in mission-critical applications.
Your technical focus:
Architect inference pipelines for 3D vision models handling diverse data types (CAD, mesh, point cloud)
Build monitoring systems that meaningfully evaluate model performance on real-world, messy geometric data
Create robust deployment infrastructure scaling across multiple 3D tasks: segmentation, classification, correspondence, and generation
Implement model lifecycle management supporting both discriminative and generative 3D capabilities
Design observability frameworks enabling continuous production assessment of 3D model performance
Your background should include:
3-10+ years industry experience as an ML Engineer / Computer Vision Engineer
Proven experience deploying models, especially vision or 3D models
Strong Python and PyTorch skills with engineering discipline around testing and performance profiling
Experience with observability tools and ML monitoring best practices
Deep understanding of challenges specific to deploying 3D models (geometric artifacts, mesh quality, robustness)
Valuable additional experience:
Working with CAD systems, robotics stacks, or AR/VR environments
Agent frameworks, planning pipelines, or LLM-integrated systems
3D data evaluation methodologies and debugging tools
Any experience in 3D tools such as WebGL, Three.js, or Blender scripting for 3D visualisation would be useful but not essential.
You'll be establishing the infrastructure foundation for an entirely new capability domain, with high ownership and responsibility for defining production standards and deployment strategies.
Package includes:
Competitive salary: $180,000-$240,000
Performance bonus up to 20%
Medical, dental, and vision coverage
401k with up to 3% company match (after 3 months)
20 vacation days, 10 sick days, and flexible working arrangements
Based in SF Bay Area or Miami, working alongside a research team that values practical impact and technical excellence.
You must have valid right to work in the US without sponsorship (US Citizenship or Green Card).
If building the systems that make breakthrough 3D AI research truly useful appeals to you, we'd love to discuss this opportunity. All applicants will receive a response.
Questionnaire
Do you have 3+ years of industry experience in ML Engineer & Computer Vision? Please select Yes No
Do you have US Citizenship or Greencard? Please select Yes No
Are you based in SF Bay Area, or willing to relocate to Miami? Please select Yes No