Senior Machine Learning Engineer (d/f/m)

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Darum lohnt es sich

We have received over $50M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. Together with your colleagues you will take care of the machine learning software stack and thereby enable our teams to build medical grade quality and scalable machine learning models.

Collaborate with cross‑functional teams to understand business requirements and translate them into ML solutions. Work in an agile development environment and clearly communicate your results to the team. Excellent problem‑solving skills and the ability to work independently and as part of a team.

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 Enjoy your well‑deserved time off within our 30 paid vacation days per year We are family & pet friendly and support flexible parental leave options Pick a subsidised 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 Join us to make a difference!

We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That’s where we come in.

Aignostics is a spin‑off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We work with academic partners as well as leading global life sciences companies.

Role Overview As a Senior Machine Learning Engineer at Aignostics, you work hand in hand with our collaborators in academia and industry to push the state of the art of machine learning for digital pathology. You will develop distributed software systems for machine learning applications that will help to improve cancer research and diagnostics.

At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds, and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees.

Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be. Please note that this position is intended for software engineers.

For a data scientist / machine learning / deep learning position please check out our Data Scientist opening. Where your expertise is needed Design, develop, deploy and maintain robust ML pipelines to make them usable, efficient and scalable. Optimize and fine‑tune data pipelines for production.

Engage in code reviews, upholding high standards for clean, reliable code. Embrace learning new technologies, fostering innovation, and tackling diverse challenges. Contribute to the development of our ML infrastructure, pipelines, services, monitoring systems and codebase in general.

Mentor and guide junior engineers, providing technical leadership and insights. What we are looking for Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus. 4+ years of work experience in software development, machine learning or a related field.

Advanced programming skills in Python, with experience with other languages (e.g. C/C++, CUDA, Java, Rust) being a plus. Good understanding of distributed systems and frameworks, parallel computing and scalability. Experience with cloud platforms (GCP, AWS or Azure), familiarity with MLOps / DevOps best practices (incl.

CI/CD, Docker, Kubernetes and observability). Dedicated to high coding standards and knowledgeable about best practices in development workflow. Experience with Linux, version control and container technologies. Data engineering skills, experience with working with large datasets.

Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Nice to have Experience with deploying models into production. Experience with Google Kubernetes Engine, Ray distributed computing framework and Prefect. Hands‑on experience with machine learning and data science.

Proven experience with ML framework, such as Tensorflow, PyTorch or scikit‑learn. Experience with working on biomedical data (especially working with image data). Experience with software development in regulated environments, specifically considering Information Security criteria under ISO 27001.

We are still keen to hear from you if you don't match all the above points! Our needs are diverse and growing and you are encouraged to apply if you have any combination of these skills. The recruitment process is a comparative exercise and decisions will be made based on the applications we review at each time.

Our offer Join a purpose‑driven startup: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference! Referrals increase your chances of interviewing at Aignostics by 2x Get notified about new Machine Learning Engineer jobs in Berlin, Berlin, Germany.

Seniority level Not Applicable Employment type Full‑time Job function Engineering and Information Technology Industries Software Development #J-18808-Ljbffr