About the Company

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 have received over $50M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies.

We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. Our approach emphasizes the importance of high-quality data and a scientifically rigorous, transparent model development process.

At Aignostics, we value and celebrate diversity and inclusion, offering equal employment and promotion opportunities for all applicants and employees, regardless of age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe that inclusivity enhances our work.

About the Role

Job Title: Staff Machine Learning Engineer (d/f/m)
Location: Berlin, Berlin, Germany
Employment Type: Full-time
Department: Machine Learning Engineering

Responsibilities

• Steer: Define and drive the technical architecture and system design principles for our AI platform and infrastructure.
• Consult: Provide expert consultation on feasibility, architecture, trade-offs, and risk mitigation strategies.
• Coordinate: Establish shared architectural principles and best practices across teams.

Qualifications

Our Tech Stack

• Experience in data storage, management, and processing at scale.
• Familiarity with event-driven systems.
• Contributions to open-source projects and technical publications.
• Experience in regulated environments (e.g., financial services, aerospace, healthcare).
• Knowledge of digital pathology or biomedical data.

Our Offer

• Join a purpose-driven startup focused on fighting cancer and improving patient outcomes.
• Involvement in cutting-edge AI research and development with partners like Charité and TU Berlin.
• Work with a diverse and international team.
• Opportunities for personal and professional growth, including a yearly budget of €1,000 for Learning & Development.
• Flexible working hours and teleworking policy.
• 28 paid vacation days per year.
• Family and pet-friendly environment with flexible parental leave options.
• Subsidized membership options for public transport, sports, and well-being.