Machine Learning Engineer

Summary

Join CompanyCam as a Machine Learning Engineer and be part of a rapidly growing team improving business processes. Design, build, and deploy scalable ML solutions enhancing the product and powering better decision-making. Own the full pipeline from data preparation to deployment, collaborating with various teams. Ensure models are reliable, efficient, and ethical, while maintaining documentation and performance monitoring. Serve as a go-to resource for stakeholders, explaining AI/ML capabilities and supporting broader goals. CompanyCam is a remote-first company with a flexible approach to work, valuing focused work and intentional downtime.

Requirements

• 1-5 years of experience in machine learning, data science, backend engineering adjacent to machine learning, or a related field
• Strong coding skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Proficient in SQL , including joins, subqueries, window functions, and CTEs
• Skilled in data cleaning, transformation, and feature engineering
• Strong analytical and problem-solving mindset with a focus on data-driven decisions
• Strong collaboration and communication skills (clearly being able to explain technical concepts to non-technical stakeholders), with openness to feedback and diverse perspectives
• You live and work permanently in the U.S. (We’re not set up to hire outside the U.S.)

Responsibilities

• Design, build, and deploy smart, scalable ML solutions that enhance our product and power better decision-making
• Own the full pipeline from data prep and model training to evaluate and deployment
• Collaborate closely with a variety of teams including engineers, infrastructure, data scientists, and business stakeholders to ensure AI/ML solutions are thoughtfully integrated into our tech ecosystem
• Help ensure models are reliable, efficient, and ethically sound, while maintaining documentation and performance monitoring
• Your work will be critical to driving scalable, real-time decision automation
• Serve as the go-to resource for stakeholders , helping them understand what's possible with AI/ML at CompanyCam and how it can support our broader goals

Preferred Qualifications

• Google's Professional Machine Learning Engineer and/or Microsoft's Azure Data Scientist certificate
• Experience with DE tooling such as DVC, 5tran, Snowflake, etc
• Familiarity with Rails, React, and/or React Native, or AWS

Benefits

• This is a salaried position at CompanyCam
• Our salary range is $210,000 - $240,000 per year and is based on experience
• We also offer meaningful equity and other benefits
• Remote-first