Aignostics is an AI-powered company transforming drug development and improving patient outcomes through precision medicine. They offer a range of products including Foundation Models and the Atlas H&E-TME profiling application, supported by custom services for target and biomarker discovery, translational research, and digital diagnostics. The company emphasizes its deep biomedical expertise, advanced machine learning capabilities, and collaborations with academic institutions. Aignostics, a spin-off from Charité Berlin, has offices in Berlin and New York, and is certified with ISO 13485 and 27001, with a GCP-ready clinical trial platform. They have raised $55 million in funding and employ over 120 people.
Aignostics is an AI-powered company transforming drug development and improving patient outcomes through precision medicine. They offer a range of products including Foundation Models and the Atlas H&E-TME profiling application, supported by custom services for target and biomarker discovery, translational research, and digital diagnostics. The company emphasizes its deep biomedical expertise, advanced machine learning capabilities, and collaborations with academic institutions. Aignostics, a spin-off from Charité Berlin, has offices in Berlin and New York, and is certified with ISO 13485 and 27001, with a GCP-ready clinical trial platform. They have raised $55 million in funding and employ over 120 people.
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Company Overview
Problem Domain
Translating complex biomedical imaging data into actionable insights for precision medicine and drug development.
Founded
2018
Industry
Biotechnology
Tech Stack
Next.js
Ruby on Rails
Google Cloud
Fastly
Material UI
Funding Track Record
Seed- 2020-08-28
€5,000,000
Series A- 2022-09-15
€14,000,000
Series B- 2024-10-29
$34,000,000
Participants included Mayo Clinic, HTGF and existing investors
Investor Signal
“Includes strategic and healthcare-focused investors such as ATHOS, Mayo Clinic, Wellington Partners, Boehringer Ingelheim Venture Fund, HTGF and IBB Ventures”
Founders
What we do
Join the Team
Senior Machine Learning Engineer (d/f/m)
HybridBerlin, DE
Hybrid • Berlin, DE
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.
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.
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.
Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
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.
Work in an agile development environment and clearly communicate results to the team.
Qualifications
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 in other languages (e.g., C/C++, CUDA, Java, Rust) being a plus.
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 frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience working on biomedical data, especially with image data.
Experience with software development in regulated environments, specifically considering Information Security criteria under ISO 27001.
Benefits
Join a purpose-driven startup working collectively to fight cancer and improve patient outcomes.
Involvement in cutting-edge AI research and development with partners like Charité and TU Berlin.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Mentor and guide junior engineers, providing technical leadership and insights.
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 (including 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 working with large datasets.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Work with a welcoming, diverse, and highly international team.
Opportunity to take responsibility and grow your role within the startup.
Expand your skills with a Learning & Development yearly budget of €1,000 (plus 2 L&D days), language classes, and internal development programs.
Mentoring program with great experts.
Flexible working hours and teleworking policy.
Enjoy 30 paid vacation days per year.
Family & pet-friendly environment with flexible parental leave options.
Subsidized membership for public transport, sports, and well-being.
Enjoy social gatherings, lunches, and off-site events for a fun and inclusive work environment.
