Technology, Information and Internet

Custom Surgical GmbH

11-50

More paid time off than the statutory minimum.

Additional vacation days

A share in the company's success through equity or stock options.

Company stock options

Adapt your start and end times around your life and workload.

Flexible working hours

Work fully remotely, from home or anywhere agreed.

Remote work

Challenge

Commitment

Creativity

Curiosity

Impact

Innovation

Mutual respect

Open-mindedness

Teamwork

Trust

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.
<h2>Tasks</h2>
<ul>
<li>Own and drive the technical direction of AI/ML development across Custom Surgical;</li>
<li>Design, implement, and maintain computer vision and multimodal ML systems for real-world clinical data;</li>
<li>Lead model development from experimentation to production, ensuring robustness, performance, and scalability;</li>
<li>Define best practices for training pipelines, evaluation, deployment, and monitoring of ML models;</li>
<li>Collaborate closely with Product and Engineering to align AI capabilities with real user workflows;</li>
<li>Mentor and support junior and mid-level AI/ML engineers through reviews, guidance, and technical leadership;</li>
<li>Contribute to architectural decisions around data pipelines, model lifecycle, and infrastructure;</li>
<li>Ensure AI systems are built with quality, safety, and regulatory constraints in mind;</li>
<li>Stay up to date with advances in AI/ML and assess their relevance for real-world medical applications.</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>Strong experience as an AI/ML Engineer working on production-grade systems;</li>
<li>Solid background in computer vision and deep learning;</li>
<li>Hands-on experience with PyTorch or TensorFlow;</li>
<li>Strong proficiency in Python and ML experimentation workflows;</li>
<li>Experience taking ML models from research to production environments;</li>
<li>Ability to design and reason about end-to-end ML systems, not just individual models;</li>
<li>Experience collaborating with software engineers and product teams;</li>
<li>Fluency in English (spoken and written);</li>
<li>Based in Munich or willing to relocate (on-site collaboration required).</li>
</ul>
Nice to have (but not required):
<ul>
<li>Experience with LLMs or multimodal AI systems;</li>
<li>Background in medical imaging, healthcare, or regulated environments;</li>
<li>Experience with cloud-based ML infrastructure (e.g. GCP, AWS);</li>
<li>Prior experience in a technical leadership or mentoring role;</li>
<li>Familiarity with data annotation workflows or weak supervision techniques.</li>
</ul>
What we expect from Custom Surgical Candidates:
<ul>
<li>You are an owner — you take end-to-end responsibility for complex technical problems and drive long-term improvements;</li>
<li>You have a growth mindset and enjoy building systems that evolve over time;</li>
<li>You’re proactive and solutions-oriented — you work across teams to unblock progress and deliver outcomes when it matters;</li>
<li>You are open, sincere, and comfortable giving and receiving frequent feedback;</li>
<li>You thrive in an international, young, and flexible company;</li>
<li>You communicate clearly with both technical and non-technical stakeholders;</li>
<li>You enjoy mentoring others and raising the technical bar of the team.</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>Time flexibility and trust-based working culture;</li>
<li>Home office when needed, with on-site collaboration in Munich;</li>
<li>No unnecessary bureaucracy — high autonomy to shape AI architecture and priorities;</li>
<li>WellPass/Deutschlandticket + JobRad bike leasing with insurance;</li>
<li>Direct impact on products used daily by clinicians worldwide;</li>
<li>The opportunity to define how AI is responsibly deployed in a regulated medical domain.</li>
</ul>

Senior AI/ML Engineer (AI Lead)

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