Job Url: https://www.remoterocketship.com/company/autostoresystem/jobs/machine-learning-engineer-united-states-remote Job Description: AutoStore™ Website LinkedIn All Job Openings AutoStore™ is a leading warehouse automation system provider known for its high-throughput efficiency, space optimization, and reliability. The company specializes in automating warehouse operations with its goods-to-person technology, deploying modular cube designs to maximize capacity and speed. AutoStore's solutions scale seamlessly with business growth, supporting industries such as retail, 3PL (third-party logistics), grocery, healthcare, and industrials. With a focus on speed, accuracy, and uptime, AutoStore's technology supports some of the world's fastest-growing e-commerce and logistics operations. robotics • supply chain • Software Development • Mechanical Engineering • Robotic Warehousing 501 - 1000 employees 🛍️ eCommerce 🛒 Retail Machine Learning Engineer 4 days ago 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer AWS Azure Cloud Google Cloud Platform Python PyTorch SQL Tensorflow Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Develop, train, and deploy high-performance computer vision models for our warehouse picking stations • Serve as a key technical point of contact for our teams in Norway, helping to integrate AI/ML solutions into our products • Implement and refine ML models for projects including robot routing and analytics platforms • Take ownership of assigned projects, ensuring timely execution from initial concept through to deployment • Maintain clear communication on project status and technical findings with stakeholders, including your manager in a different time zone and global Research and Development organization 🎯 Requirements • Master’s degree in Computer Science or a related field • 3+ years of professional experience building and deploying machine learning systems • Strong experience in Computer Vision, Python, SQL, and a major deep learning framework (PyTorch or TensorFlow) • Proven experience using a cloud environment (AWS, GCP, or Azure) for model training or deployment • Experience with the engineering best practices required to build and maintain production-level ML systems • Ability to work effectively in a distributed team environment • Familiarity with broader machine learning concepts or quantitative databases is a plus • Proficiency in English is a requirement 🏖️ Benefits • Comprehensive Medical, Dental, and Vision plans • Health Savings Account (HSA) with a company contribution • Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents • Retirement 401(k) plan with employer match and discretionary profit sharing contribution • Educational assistance and professional development programs including mentorship/coaching programs with external industry leaders • Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more!