Founding Computer Vision Engineer – Multimodal AI & VLMs
MaxIT Consulting - Max Corporate Group · San Francisco, California, United States ·
- Work mode
- Onsite
- Category
- ML ai
- Experience
- 1+ years
- Visa sponsorship
- Yes
Founding engineer who builds and deploys vision-language (VLM) and multimodal computer-vision systems that reason over images and video for real-world industrial workflows, owning models end to end — from orchestration and production deployment on hardware-constrained edge devices to evaluation datasets and regression testing.
SF Bay Area, California | Fully On-site
We are seeking an Founding Computer Vision Engineer – Multimodal AI & VLMs to join an early-stage technology company building AI systems for real-world industrial environments. This role focuses on multimodal visual intelligence running in hardware-constrained environments and supporting complex physical workflows.
The Opportunity
You will own critical parts of the AI layer, building and deploying vision-language systems that reason over images and video in real customer environments. The role combines applied AI, computer vision, evaluation systems, and production engineering.
Key Responsibilities
- Build and deploy agentic vision-language systems for real-world industrial workflows.
- Develop multimodal reasoning capabilities across images and video.
- Work with detection, segmentation, visual reasoning, VLMs, and related applied computer vision techniques.
- Own model orchestration and production deployment across hardware-constrained environments.
- Design and maintain evaluation systems including ground-truth datasets, trajectory evaluation, and regression testing.
- Iterate on production models based on real-world usage and measurable system performance.
Required Qualifications
- Approximately 1 to 5 years of relevant professional experience.
- Hands-on experience shipping computer vision, multimodal, or vision-language systems to production.
- Strong practical understanding of visual AI applied to images and/or video.
- Experience owning technical systems end to end rather than working exclusively on research prototypes.
- Comfort operating in real-time, edge, hardware-constrained, or connectivity-constrained environments.
- Strong software engineering fundamentals and a high level of technical ownership.
Candidate Profile
The strongest candidates are practical builders who have shipped real systems with real users. Experience in robotics, autonomous systems, drones, wearables, real-time video, edge computing, or adjacent physical-world AI domains is highly relevant.
Work Arrangement
This position is fully in person in the San Francisco Bay Area. The initial working location is in Burlingame, with the team expected to transition to a San Francisco office.
Work Authorization
Candidates must be able to work in the United States. Certain visa sponsorship, transfer, or change-of-status scenarios may be supported for candidates already located in the United States. New petitions requiring processing from abroad are not supported at this time.