Requirements

• Strong experience as an AI/ML Engineer working on production-grade systems;

• Solid background in computer vision and deep learning ;

• Hands-on experience with PyTorch or TensorFlow ;

• Strong proficiency in Python and ML experimentation workflows;

• Experience taking ML models from research to production environments ;

• Ability to design and reason about end-to-end ML systems , not just individual models;

• Experience collaborating with software engineers and product teams;

• Fluency in English (spoken and written);

• Based in Munich or willing to relocate (on-site collaboration required).

Nice to have (but not required):

• Experience with LLMs or multimodal AI systems ;

• Background in medical imaging, healthcare, or regulated environments ;

• Experience with cloud-based ML infrastructure (e.g. GCP, AWS);

• Prior experience in a technical leadership or mentoring role ;

• Familiarity with data annotation workflows or weak supervision techniques.

What we expect from Custom Surgical Candidates:

• You are an owner — you take end-to-end responsibility for complex technical problems and drive long-term improvements;

• You have a growth mindset and enjoy building systems that evolve over time;

• You’re proactive and solutions-oriented — you work across teams to unblock progress and deliver outcomes when it matters;

• You are open, sincere, and comfortable giving and receiving frequent feedback ;

• You thrive in an international, young, and flexible company ;

• You communicate clearly with both technical and non-technical stakeholders;

• You enjoy mentoring others and raising the technical bar of the team.

Benefits

• Time flexibility and trust-based working culture;

• Home office when needed, with on-site collaboration in Munich;

• No unnecessary bureaucracy — high autonomy to shape AI architecture and priorities;

• WellPass / Deutschlandticket + JobRad bike leasing with insurance;

• Direct impact on products used daily by clinicians worldwide;

• The opportunity to define how AI is responsibly deployed in a regulated medical domain.