Staff Machine Learning Engineer Jobs

Staff Machine Learning Engineer

Aignostics

Location:
Germany, Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Staff Machine Learning Engineer at Aignostics, you will play a crucial role in shaping the technical direction and architecture of our ML platform and infrastructure. You will work hand in hand with fellow engineering leads at Aignostics, as well as collaborators in academia and industry. Your expertise will be instrumental in driving technical excellence across all ML engineering teams, ensuring we deliver high-quality, scalable solutions that transform complex biomedical data into actionable insights for cancer research and diagnostics. You will report directly to the Head of ML Engineering.

Job Responsibility:

Define and drive the technical architecture and system design principles for our AI platform and infrastructure
Work in close collaboration with engineering leads to build flexible frameworks and systems for model training, evaluation and inference across different pathology applications
Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision
Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains
Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics
Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions
Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value

Requirements:

Advanced degree in a relevant field or extensive work experience
8+ years of industry experience, with at least 2 years as Staff Engineer or an equivalent role
Proven track record of driving technical excellence and innovation
Solid background in data-intensive systems and software architecture, design patterns and clean coding
Expert Python programming and fluency in C/C++ or other low-level language(s)
Experience with designing and implementing large-scale, distributed ML systems and platforms
Proven track record of deploying ML models into production environments
Strong knowledge of machine learning fundamentals
Experience with deep learning frameworks (e.g. Pytorch and Tensorflow) and state-of-the-art techniques (e.g. generative models)
Deep understanding of cloud technologies (e.g. GCP, AWS), containerization and orchestration (Kubernetes)
Experience with workflow orchestration tools (e.g. Prefect, Kubeflow or Airflow) and distributed computing frameworks (e.g. Ray, Spark)
Familiarity with MLOps practices and model lifecycle management, complex CI/CD pipelines, infrastructure as code, code, experiment and model versioning tools (e.g. Git, WandB)
Experience with designing and implementing large-scale, distributed ML systems and platforms
Proven track record of deploying ML models into production environments, including performance monitoring (e.g. detection of data drift)
Excellent communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders
Stays up-to-date with technology trends and latest advancements in AI and ML technologies, explores and evaluates new solutions and grows with our challenges

Nice to have:

Gained experience in data storage, management and processing at scale
Familiar with event-driven systems
Contribute to open-source projects and technical publications
Worked in a regulated environment, e.g. financial services, aerospace or healthcare
Have knowledge of digital pathology or experience with working with biomedical data

What we offer:

Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
Work with a welcoming, diverse and highly international team of colleagues
Opportunity to take responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
Mentoring program, you’ll learn from great experts
Flexible working hours and teleworking policy
30 paid vacations days per year
We are family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports and well-being
Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment
Optional company pension scheme

Additional Information:

Job Posted:
December 16, 2025

Work Type:

Hybrid work

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