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Computer • berkeley ca
- Promoted
Technical Operations Lead, Computer Vision
Menlo VenturesSan Francisco, CA, United States- Promoted
Computer / IT
TradeJobsWorkForce94147 San Francisco, CA, USComputer Systems Analyst
Tata Consultancy ServicesAlbany, CAAssistant Professor, Computer Science
The California State UniversitySan Francisco- Promoted
Electrical Engineering Computer Science Patent Agent
Vanguard-IPSan Francisco, CA, United StatesComputer Repair Technician
CellairisBerkeley, California- Promoted
Senior Machine Learning Engineer- Computer Vision
Warner Bros. DiscoverySan Francisco, CA, United StatesCOMPUTER SCIENCE
Santa Rosa Junior CollegeSonoma County, CA- Promoted
Senior Computer Vision Applied Scientist
Pano AI, Inc.San Francisco, CA, United States- Promoted
Software Engineer, Computer-Using Agent
OpenAISan Francisco, CA, United States- Promoted
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Computer Systems Administration JOB Training Program
Year Up UnitedSan Francisco, CA, United StatesAssistant Professor, Computer Science
San Francisco State UniversitySan Francisco, 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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Technical Operations Lead, Computer Vision
Menlo VenturesSan Francisco, CA, United States- Full-time
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like What will it look like? and What will it cost? Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property all from a smartphone scan in minutes.
At Hover, were driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide were redefining how people understand and interact with their spaces.
Why Hover wants you
At Hover, our Computer Vision (CV) team turns raw imagery into structured data fueling the most advanced property intelligence platform in the world. To scale this system, were hiring a Technical Operations Lead who will own the orchestration and execution of our CV / ML workflows in production, especially where human-in-the-loop (HITL) feedback is critical.
Youll partner directly with CV engineers to bring algorithms to life in production environments that involve humans, tools, QA layers, and feedback loops. Your superpower is driving operational scale without compromising quality. We operate at the scale of millions of properties per year. This role is critical to making that scale possible by translating cutting?edge models into reliable, efficient, and scalable systems that blend automation with human expertise.
You will contribute by
- Partner closely with the CV and ML teams to design and execute the production deployment of computer vision models in environments involving human input, correction, or QA.
- Manage the day-to-day operations of complex workflows, combining automated steps with HITL componentsensuring reliability, speed, and consistent performance.
- Design, scale, and refine quality control systems for CV outputs, leveraging both automation and human validators.
- Drive operational feedback loops : analyze performance data, identify failure patterns, and partner with engineering to inform model improvements or workflow tweaks.
- Act as the bridge between CV engineering and our operations / QA teams, translating technical model behavior into actionable operations strategies.
- Own and monitor pipeline health, triaging breakdowns, and driving resolutions across human + machine steps.
- Propose and lead continuous improvement projects across tools, metrics, vendors, or staffing strategies.
- Because you will own day-to-day operational performance across a global 24 / 7 BPO network, international travel a couple of times a year will be essential to your success.
Your background includes
Benefits
Hybrid roles at Hover
Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.
The US base salary range for this full?time position is $221,000 - $250,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job?related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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