Senior ML engineer

Go Autonomous Copenhagen Full-time

Salary Competitive

Are you our next Senior Machine Learning Engineer?

At Go Autonomous, we are on a mission to change the future of autonomous commerce. As a Senior Machine Learning Engineer, you will join our ML Foundation Team, where you will play a critical role in developing and optimizing foundational AI models. Collaborating with cross-functional teams such as AI Implementation, Customer Success, Software Development, Data Annotation, and Leadership, you'll ensure that our models are seamlessly integrated with our platform and meet customer needs.

Your Role:

• Design, develop, and optimize machine learning models, ensuring high performance and scalability.
• Collaborate closely with other ML engineers and cross-functional teams to align development with business and customer requirements.
• Contribute to the continuous improvement of our AI-driven products.
• Analyze dependencies to ensure models integrate well with the software platform.
• Provide insights and solutions to enhance our core ML offerings.

What we expect:

• 5+ years of experience working in Machine Learning or AI.
• Proficiency in Python and strong understanding of foundational AI/ML concepts.
• Solid understanding of PyTorch and transformers.
• Experience with model training, optimization, and deployment.
• Strong collaboration skills and ability to work with cross-functional teams.

Nice-to-have:

• Knowledge of CI/CD pipelines.
• Experience with cloud platforms (e.g., AWS, GCP).
• Familiarity with MLOps tools (e.g., K8s)

What we offer:

• An opportunity to work in a highly agile, non-hierarchical, and innovative environment.
• A role that directly impacts the future of commerce through cutting-edge AI technologies.
• Collaboration with a talented and diverse team that values meritocracy and openness​​.

Location: We are based at Kultorvet, near Nørreport station and Metro. You must be able to commute to our office as we are not hiring for remote positions.

For more information or questions please contact us at [email protected] or phone number 40971220