Staff AI/ML Engineer (all)
Berlin, München
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent employee
From the employer’s posting
What you’ll work on
Full postingDesign AI/ML systems and architecture, including greenfield projects
Choose the right approach, from classic ML to GenAI and LLMs, for each problem
Evaluate, monitor and maintain AI/ML pipelines in production
Audit the current AI setup and help define strategy and roadmap
Lead cross-functional AI initiatives from idea to implementation
From the employer’s posting
Design AI/ML systems and architecture, including greenfield projects.
Solve complex problems using the right AI/ML approach, from classic ML to GenAI and LLMs, depending on the problem.
Evaluate, monitor, and maintain AI/ML pipelines in production
Audit our current AI setup and help define the AI strategy and roadmap.
Lead cross-functional AI initiatives and drive them from idea to implementation.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 25, 2026 · 34 days ago
- Recorded sightings
- 20
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
We’re looking for a Staff AI/ML Engineer to take technical ownership of our AI/ML work end-to-end. You’ll work on complex AI/ML problems, lead projects from idea to implementation, and help shape how we build and scale AI across the company. You’ll bring hands-on experience building and leading projects end-to-end, along with the ability to go deep into technical decisions, edge cases, and trade-offs.
Your mission
Solve complex problems using the right AI/ML approach, from classic ML to GenAI and LLMs, depending on the problem.
Design AI/ML systems and architecture, including greenfield projects.
Evaluate, monitor, and maintain AI/ML pipelines in production — not only build AI/ML solutions, but also assess their performance and keep them reliable over time.
Audit our current AI setup and help define the AI strategy and roadmap.
Lead cross-functional AI initiatives and drive them from idea to implementation.
Challenge existing technical decisions constructively and stay focused on the product and the result.
Your background
Proven experience leading AI/ML projects end-to-end in a startup/product environment.
Strong AI/ML and Data Science expertise, including classic ML and GenAI, with a solid software engineering foundation and hands-on experience building AI/ML solutions.
Understanding of data and ML infrastructure, including data quality, feature/data pipelines, model serving, observability, deployment, and lifecycle management.
Strong system design and architecture skills.
Proactive, ownership-driven, and results-oriented, with a strong product mindset.
Open to feedback and comfortable challenging technical decisions constructively.
Why us?
- Top Tech company in Digital Health: Work in a fast-growing, innovative environment where your impact is visible.
- True impact in healthcare: Contribute to a unique platform with the potential to improve health for millions.
- International team: Join colleagues from 14+ nationalities, united by a shared vision.
Hiring Process
- Recruiter Screening
- Leadership Interview
- Technical Deep Dive
- Decision
Source details
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- Pay
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- Location & working pattern
Berlin, München
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- Work authorization
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