B logo

Head of Machine Learning & Computer Vision

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Schedule
Full-time
Career level
Director
Remote
On-site
Benefits
Career Development

Job Description

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.

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Head of Machine Learning & Computer Vision Jobs at Bobyard

What is the work location for this position at Bobyard?
This job at Bobyard is located in San Francisco, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Bobyard?
Employer has not shared pay details for this role.
What employment applies to this position at Bobyard?
Bobyard lists this role as a Full-time position.
What experience level is required for this role at Bobyard?
Bobyard is looking for a candidate with "Director" experience level.
What benefits are offered by Bobyard for this role?
Bobyard offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Bobyard?
You can apply for this role at Bobyard either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.