Companycam
Machine Learning Engineer - Computer Vision
Remote (U.S.) · Contract
Sponsorship not specified$220k-$250kDetected 12 days ago
JavaScriptPythonRubyReactRailsGitSQLVector DatabasesMachine LearningTensorFlowPyTorchData AnalysisNLPComputer VisionCommunication
About the role
- 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.
- This is a small team with outsized reach.
Responsibilities
- Own the full ML pipeline: data preprocessing, feature engineering, model selection, training, evaluation, and deployment into sustainable inference services.
- Conduct discovery spikes to validate feasibility and inform go/no-go decisions before committing to full development.
- Build automated, self-sustaining ML pipelines. Models should train, evaluate, and deploy with minimal manual intervention.
- Inform build-vs-buy decisions with both technical rigor and business context, understanding when in-house models create competitive advantage vs. when vendor APIs are sufficient.
- Collaborate with software engineers, data engineers, and product stakeholders to integrate ML solutions into CompanyCam's platform.
- We work hard, take responsibility, and support each other.
- We're committed to providing a consumer-grade, game-changing experience that helps our users build trust within their company and with their customers.
Requirements
- We welcome people from all backgrounds and really don't care whether or not you have a CS degree or even a high school diploma.
Nice to have
- 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)
Compensation
- Our salary range is $220,000 - $250,000 per year and is based on experience.
Benefits
- We also offer meaningful equity and other benefits.
- What really matters to us is your potential, your passion, and your commitment to learning, innovation, and contributing meaningfully to our team.
- Please do not include any medical or health information in your message.
- Design, train, and deploy computer vision models to production with well-understood performance, latency, and cost characteristics.
Company info
- Do good: treat your co-workers and customers the way you want to be treated.
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This listing is sourced directly from Companycam's careers page and normalized into a canonical job model.