1 year ago
Responsibilities
- Develop and implement advanced machine learning models for physical-world engineering and manufacturing problems.
- Design AI systems that reason about complex engineering data, physics, design constraints, and real-world performance tradeoffs.
- Build systems that transform unstructured technical data into actionable insights.
Requirements
- Expert-level programming skills in Python.
- Solid understanding of deep learning and its applications in natural language processing.
- Deep understanding of large language models.
- Exceptional problem-solving ability and enthusiasm for advancing AI technology.
- Competitive programming background and open-source contributions are bonus qualifications.
Benefits
- Visa sponsorship is provided.
- Hybrid work arrangement with three days per week in the San Francisco office.
- 401(k) plan.
- Medical, dental, and vision insurance coverage.
- Snacks at the office.
- Flexible vacation policy and paid time off.
Tech Stack
Categories
About Apiphany
Apiphany builds AI software that turns unstructured product-engineering and manufacturing data into searchable, contextual insights for engineering, quality, and operations teams. Its platform connects to existing systems—RFPs, design specs, CAD, BOM/PLM, test data, and field reports—to deliver real-time guidance and review workflows. Privately held and based in San Francisco, it targets enterprise manufacturers in automotive, aerospace, and related sectors via a SaaS model.