Applications Engineer, San Francisco
$80k - $110k • San Francisco • FullTime
Posted 24d ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Engineer
About the job
Overview.ai is at the forefront of applying AI computer vision to manufacturing, tackling inspection challenges that traditional machine vision cannot solve. As a full-stack company, we deploy GPU-powered cameras, run edge inference, and manage a platform supporting global device fleets. We are experiencing rapid growth, with customers valuing our product's high accuracy, swift deployment, and user-friendly experience, enabling successful factory rollouts beyond pilot phases.
Responsibilities
- Conduct lab testing and experimentation with cameras, lenses, lighting, and other machine vision components.
- Build and evaluate vision configurations for customer applications and internal projects.
- Prepare clear and concise technical reports based on application test results.
- Assess and recommend new components and technologies to enhance system performance.
- Provide field customer support, including testing, troubleshooting, deployment, and technical problem-solving.
- Manage the AI vision workflow, encompassing image collection, labeling, training, and model evaluation.
- Develop internal test setups, resources, and documentation for the Applications team.
- Undertake optical and hardware projects such as camera calibration, new optical configurations, and hardware evaluation.
Requirements
- 1 to 3+ years of experience in machine vision, computer vision, applications engineering, robotics, automation, manufacturing, or a related field.
- Strong practical understanding of machine vision fundamentals, including cameras, lenses, optics, lighting, and image acquisition.
- Familiarity with various lens types, including telecentric lenses, and their appropriate applications.
- Working knowledge of AI-based vision and its distinction from traditional rule-based vision.
- Familiarity with image labeling, model training, classification, object detection, and segmentation.
- Excellent troubleshooting skills and a logical, experimental approach to technical challenges.
- Comfortable working independently with hardware and testing methodologies.
- Ability to clearly document and communicate technical findings.
- Eagerness to rapidly learn new technologies, including industrial automation and PLCs.
- Experience with industrial machine vision systems in production environments.
- Hands-on experience with AI or deep learning inspection systems.
- Experience building proof-of-concept systems or conducting feasibility studies.
- Exposure to PLCs, industrial controls, or manufacturing automation.
- Experience working directly with manufacturing customers.
Benefits
- Annual performance bonus of up to 20%