Sr. Applications Engineer, San Francisco
$150k - $190k • San Francisco • FullTime
Posted 7h ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Overview.ai is seeking an experienced Machine Vision Applications Engineer to lead complex vision applications from initial feasibility through production deployment. This role involves being the go-to technical expert for optics, lighting, image acquisition, and inspection performance, working hands-on in the San Francisco lab and directly with customers. You will build vision systems, evaluate hardware, lead proof-of-concept testing, troubleshoot inspection problems, and influence customer deployments and product development. The ideal candidate has a proven track record of solving challenging machine vision problems in industrial environments and applying that expertise to AI-powered inspection.
Responsibilities
- Lead feasibility studies, proof-of-concept testing, and technical validation for complex industrial inspection applications.
- Select, configure, and optimize cameras, lenses, lighting, filters, and optical components.
- Drive vision experimentation, testing standards, hardware evaluation, and application development in the SF lab.
- Troubleshoot image quality, environmental variability, false rejects, missed defects, and inspection consistency.
- Optimize AI-based inspection performance by working with image collection, labeling, model training, and evaluation.
- Partner with customers and field teams to troubleshoot vision challenges and ensure successful deployment.
- Assess emerging vision technologies and recommend improvements to hardware and inspection capabilities.
- Mentor less experienced engineers, establish best practices, and provide technical guidance.
- Collaborate with Product and Engineering to translate application challenges into product improvements.
Requirements
- 5+ years of hands-on experience in industrial machine vision, vision applications engineering, or optical inspection systems.
- Deep understanding of machine vision fundamentals, including optics, lenses, lighting, sensors, image acquisition, and camera configuration.
- Proven experience designing, building, and optimizing industrial vision systems for manufacturing applications.
- Strong understanding of lens selection, field of view, working distance, depth of field, resolution, and optical trade-offs.
- Experience with advanced lighting techniques and solving challenging image acquisition problems.
- Demonstrated ability to independently lead vision feasibility studies and proof-of-concept projects.
- Experience troubleshooting inspection performance in production environments.
- Familiarity with traditional machine vision tools and inspection techniques.
- Working knowledge of AI-based vision, including classification, object detection, segmentation, and model evaluation.
- Strong technical communication skills, including documenting findings and explaining technical trade-offs.
- Comfortable working directly with hardware, running experiments, and solving problems independently.
- Based in the San Francisco Bay Area and able to work primarily from the SF office.
Benefits
- Annual performance bonus up to 20%