Machine Learning Engineer

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Join to apply for the Machine Learning Engineer role at AutoStore

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AutoStore is eagerly looking for a Machine Learning Engineer! We are developing AI enhanced products to better help our clients be more efficient with their storage needs. Come join the team!
We are Lean, Bold and Transparent - Join the robot revolution with us!
KEY TASKS AND RESPONSIBILITIES:

• 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.
  
  

• 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.
  
  

• A pragmatic and hands-on problem solver, focused on execution.
• A strong collaborator and clear communicator.
• Structured, organized, and capable of working independently.
• Solution-oriented with a good attention to detail.
• Demonstrates flexibility to accommodate collaboration across international time zones.
  
  

• 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!
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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