We are looking for a highly skilled Senior AI/ML Engineer (AI Lead) to take ownership of Custom Surgical’s AI technical direction and help translate real-world clinical data into robust, scalable AI systems.

This role combines hands-on technical leadership with strong product and system thinking. You will design, build, and guide AI/ML solutions across computer vision, multimodal models, and emerging AI capabilities, working closely with Engineering, Product, and clinical stakeholders.

You will play a key role in shaping how AI is applied across Custom Surgical’s products, ensuring technical excellence while enabling long-term scalability, reliability, and regulatory readiness.

Tasks

Own and drive the technical direction of AI/ML development across Custom Surgical;
Design, implement, and maintain computer vision and multimodal ML systems for real-world clinical data;
Lead model development from experimentation to production, ensuring robustness, performance, and scalability;
Define best practices for training pipelines, evaluation, deployment, and monitoring of ML models;
Collaborate closely with Product and Engineering to align AI capabilities with real user workflows;
Mentor and support junior and mid-level AI/ML engineers through reviews, guidance, and technical leadership;
Contribute to architectural decisions around data pipelines, model lifecycle, and infrastructure;
Ensure AI systems are built with quality, safety, and regulatory constraints in mind;
Stay up to date with advances in AI/ML and assess their relevance for real-world medical applications.

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.