Senior AI/ML Engineer (AI Lead)

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.