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Computer • berkeley ca
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Head of Computer Vision
RainesDevSan Francisco, CA, US- Promoted
Senior Data Scientist, Computer Vision
airbnb, Inc.San Francisco, CA, United StatesSr. Machine Learning Engineer, Computer Vision
PinterestSan Francisco, CA, United StatesComputer / IT
TradeJobsWorkForce94707 Berkeley, CA, USComputer Systems Engineer 3
Lawrence Berkeley National LaboratoryBerkeley, CA, United States- Promoted
Adjunct Faculty- Computer Science
University of St. ThomasSan Francisco, CA, US- Promoted
TB COMPUTER ANALYST TRAINER
MINACT, IncSan Francisco, CA, US- Promoted
Computer System Validation
Katalyst Healthcares & Life SciencesOakland, CA, US- Promoted
Machine Learning / Computer Vision Engineer
ACL DigitalSan Francisco, CA, US- Promoted
3D Computer Vision Engineer
AvalaSan Francisco, CA, USComputer Systems Analyst
Tata Consultancy ServicesAlbany, CAtutor - Computer Programming
BUKISan Francisco, CA, US- Promoted
Head of Computer Vision
PhotoroomSan Francisco, CA, US- Promoted
Computer Vision Engineer
Trunk Tools, Inc.San Francisco, CA, US- Promoted
Computer Vision Engineer
AquabyteSan Francisco, CA, USCOMPUTER SCIENCE
Santa Rosa Junior CollegeSonoma County, CA- Promoted
Computer Systems Engineer 3
Berkely LabBerkeley, CA, USComputer Repair Technician
CellairisOakland, California- Promoted
Research Engineer - Computer Vision ML
SesameSan Francisco, CA, USComputer Systems Engineer 3
Berkeley LabBay Area, California, USThe average salary range is between $ 63,504 and $ 156,000 year , with the average salary hovering around $ 107,901 year .
- software development manager (from $ 220,000 to $ 273,000 year)
- nuclear medicine (from $ 153,470 to $ 250,984 year)
- veterinarian (from $ 115,000 to $ 250,000 year)
- python developer (from $ 135,000 to $ 244,125 year)
- office administrative assistant (from $ 47,840 to $ 243,900 year)
- vp of engineering (from $ 68,428 to $ 237,500 year)
- embedded systems engineer (from $ 133,875 to $ 222,134 year)
- product director (from $ 157,500 to $ 220,750 year)
- applications engineer (from $ 149,709 to $ 218,500 year)
- startup (from $ 136,250 to $ 216,250 year)
- Sunnyvale, CA (from $ 89,688 to $ 214,500 year)
- Hayward, CA (from $ 46,356 to $ 203,000 year)
- Santa Rosa, CA (from $ 57,396 to $ 195,828 year)
- Santa Maria, CA (from $ 56,714 to $ 195,000 year)
- Cambridge, MA (from $ 43,680 to $ 195,000 year)
- Santa Ana, CA (from $ 54,571 to $ 193,500 year)
- Santa Clara, CA (from $ 59,370 to $ 193,440 year)
The average salary range is between $ 34,183 and $ 114,508 year , with the average salary hovering around $ 48,929 year .
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Head of Computer Vision
RainesDevSan Francisco, CA, US- Full-time
Job Description
Job Description
Head of Computer Vision
Location : San Francisco Bay Area (On-Site, 5 Days a Week)
Overview
We’re seeking an accomplished Head of Computer Vision to lead the development and deployment of next-generation video analytics systems that will transform how work is measured and optimized in complex, large-scale environments. You will guide technical strategy, manage research-to-production pipelines, and work hands-on to deliver breakthrough capabilities in automated video labeling, object tracking, and real-time analytics.
This role offers the rare opportunity to build and scale the entire computer vision function at a fast-growing company, working at the intersection of hardware, AI, and real-world impact. You will collaborate closely with cross-functional teams, from hardware engineers to data scientists, to deploy systems that integrate seamlessly with purpose-built devices in the field.
Key Responsibilities
- Technical Leadership – Define and execute the computer vision roadmap, from research to large-scale production deployment.
- Model Development – Architect and optimize models for video processing, object detection, and activity recognition, ensuring robustness in real-world conditions.
- Pipeline & Infrastructure – Oversee design and scaling of ML pipelines, including edge computing and integration with proprietary hardware.
- Product Integration – Work with product and hardware teams to align CV capabilities with end-user requirements and operational goals.
- Team Building – Recruit, mentor, and grow a high-performing computer vision engineering team.
- Innovation & Research – Keep the organization at the forefront of CV advancements, publishing and patenting as opportunities arise.
Requirements Qualifications
Preferred Experience
Who You Are
Benefits
Full Benefits