Computer Vision Research Engineer

Bobyard; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

A startup focused on computer vision in San Francisco seeks a talented engineer to develop and train models, optimize performance, and integrate solutions into production. The ideal candidate has a strong background in computer vision and deep learning, can navigate messy data, and possess a high ownership mindset. This full-time in-person position offers a unique opportunity to lead innovative projects that impact customers directly and requires a fast learning ability to adapt to challenges.

Qualifications

• 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.

Responsibilities

• Develop and train CV models.
• Design end-to-end pipelines for data ingestion, training, evaluation, and inference.
• Analyze real customer data to identify failure modes and opportunities.
• 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

Skills

Computer vision

Deep learning

Machine learning

Real-world data analysis

Model accuracy optimization

Job description

Position Overview

Bobyard solves non-trivial CV problems in order to automate takeoffs for contractors. We can save them dozens of hours for each project easily. This requires a complex system of models that produce better than human results.

You will have very high autonomy in designing, executing, and iterating on products. We are a startup, and we move fast. You will be the world’s leading expert on the products you build. We look for world-class engineers who have both a vision for the product but also the ability to go heads down and produce exceptional code.

Responsibilities

• Develop and train CV models
• Design end-to-end pipelines for data ingestion, training, evaluation, and inference
• 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

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

This is a full-time & in-person role in the SF Bay Area. 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.