Bobyard Logo

Bobyard

Head of Computer Vision

Posted 24 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
230K-300K Annually
Expert/Leader
In-Office
San Francisco, CA, USA
230K-300K Annually
Expert/Leader
Lead the computer vision team in developing and deploying sophisticated models, managing technical strategy, and ensuring high-quality performance in production systems.
The summary above was generated by AI
Position Overview

Bobyard solves complex computer vision problems to automate takeoffs for contractors, saving dozens of hours per project. This requires building sophisticated model systems that deliver performance at or above human-level accuracy.

We’ve built a high-performing computer vision team and are tackling some of the most challenging problems in applied CV. We’re looking for a leader who can help set technical direction, ensure the team is consistently focused on the highest-impact work, and push execution speed and quality.

This role will also play a key part in growing the team — maintaining a high hiring bar and developing world-class engineers. The expectation is that the technical standard for this role is as high as our strongest individual contributors.

Responsibilities
  • Develop and train CV models

  • Design end-to-end pipelines for data ingestion, training, evaluation, and inference

  • Scale infrastructure for large training and inference volume while minimizing costs

  • Entire reliably of systems in production

  • Improve model accuracy, robustness, and performance at scale

  • Work closely with fullstack and product to integrate models into production

  • Analyze real customer data to identify failure modes and opportunities

  • Stay current with relevant research and apply it pragmatically

  • Lead technical strategy and direction for the ML team.

  • Manage and grow ML experts in the team, providing technical guidance, performance feedback, and career development, and acting as hiring manager.

Desired Attributes
  • Strong background in computer vision and deep learning

  • Experience shipping ML models into real production systems

  • Comfortable working with messy, real-world data

  • Research-minded but execution-focused

  • High ownership mindset — you don’t wait to be told what to fix

  • Fast learner who can navigate unfamiliar problem spaces

  • Passion for solving hard, real problems that matter to customers

  • Strong work ethic — this is a startup, not a cushy big-tech role

  • Have led a world class CV/ML team before

This is a full-time & in-person role in SF. Learning rate and dedication are vital factors. If you can prove that you can execute on the products our customers are waiting for at the speed and quality the market demands (or if you can prove that you will acquire the ability to do so fast enough), we would love to work with you.

HQ

Bobyard San Francisco, California, USA Office

1800 Owens St, San Francisco, California, United States, 94158

Similar Jobs

11 Days Ago
In-Office
Redwood City, CA, USA
160K-220K Annually
Senior level
160K-220K Annually
Senior level
Logistics • Robotics
Lead a team of Computer Vision and Machine Learning engineers, oversee architecture and development of models, manage training pipelines, and implement the latest research.
Top Skills: AWSAzureDockerGCPKubernetesModern C++PythonPyTorchTensorFlow
An Hour Ago
Hybrid
San Jose, CA, USA
197K-246K Annually
Senior level
197K-246K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead AI Engineer to develop and optimize AI systems, focusing on LLMs and AI services. Collaborate with cross-functional teams to deliver AI-driven products and contribute to the technical roadmap.
Top Skills: AWSAzureGoGCPHuggingfaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
An Hour Ago
Hybrid
2 Locations
245K-335K Annually
Senior level
245K-335K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Distinguished Engineer at Capital One, you'll drive innovation in cloud banking, lead AI infrastructure, mentor engineers, and define technical strategies for scalable solutions with neural networks.
Top Skills: AICudaGoHugging Face TgiInfinibandJavaJavaScriptKubernetesMachine LearningNvlinkNvswitchPythonRaySwiftTensorrt-LlmTriton Inference ServerTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account