Senior ML Engineer

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.

KEY QUALIFICATIONS:

· 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.

PERSONAL ATTRIBUTES:

· 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.

WE OFFER:

· A creative, safe, and solid workplace in a business experiencing tremendous growth – Norway's first unicorn company listed on the Oslo Stock Exchange

· A company culture where we recognize and applaud everyone's contributions in making decisions

· In AutoStore we value flexibility, and we offer a worldwide 60/40 remote-working policy for all roles that can be performed remotely

· Competitive compensation and benefits package including good pension and insurance scheme, parking spaces with charging stations, workout facilities, subsidized company cabin scheme, subsidized canteen, paid exercise time and paid voluntary time.

Location for this role is either Vats, Stavanger or Oslo, Norway or Salem, US

AutoStore does not accept agency resumes or assistance for this role. Please do not forward resumes to our job's alias or AutoStore employees. AutoStore is not responsible for any fees related to unsolicited resumes. This policy should be respected.