Machine Learning Engineer - Computer Vision

Role Description

We're looking for a Machine Learning Engineer with deep computer vision experience to join our ML team. Contractors capture millions of jobsite photos through CompanyCam every day. As an ML Engineer, you'll turn that visual data into structured understanding — building and shipping computer vision systems that power image classification, document detection, segmentation, multimodal embeddings, and more across 70,000+ projects daily.

This is a small team with outsized reach. You'll own problems end-to-end, from data preprocessing and model training through evaluation and production deployment. You won't be tuning hyperparameters on someone else's model — you'll make architectural decisions and see your work in the hands of real contractors on real jobsites.

Current and near-term problems include:

• Segmentation
• On-device model deployment
• Vision-language model integration
• Building the evaluation infrastructure to do it all sustainably

Qualifications

• 3+ years of experience shipping machine learning models to production (not just training them)
• Experience with computer vision techniques including image classification, segmentation, and object detection
• Strong coding skills in Python with proficiency in PyTorch or TensorFlow and comfort with modern architectures (transformers, CNNs, etc.)
• Strong SQL skills including joins, subqueries, window functions, and CTEs
• Proficiency in data analysis, cleaning, transformation, and feature engineering
• Experience with version control (Git), experiment tracking, and ML development best practices
• Ability to explain technical concepts to non-technical stakeholders through clear writing and presentations
• You live and work permanently in the U.S. (We're not set up to hire outside the U.S.)

Requirements

• Show up: give us your best and have the courage to do difficult but necessary stuff
• Grow up: be humble, take responsibility, learn continuously, and have a growth mindset
• Do good: treat your co-workers and customers the way you want to be treated

Nice-to-haves

• Embeddings, vector databases, and similarity search
• On-device model deployment (e.g., Core ML, TensorFlow Lite)
• MLFlow, Weights & Biases, or similar experiment tracking platforms
• Amazon Bedrock or other cloud ML services
• Ruby on Rails or JavaScript/React (for integration work)

Benefits

• This is a salaried position at CompanyCam. Our salary range is $220,000 - $250,000 per year and is based on experience
• We also offer meaningful equity and other benefits