Job Title: Staff Machine Learning Research Scientist (d/f/m)
Location: Berlin, Berlin, Germany
Employment Type: Full-time
Department: unspecified
Workplace Type: Hybrid

Responsibilities

• Identify promising new directions based on scientific literature, in-house experiments, and novel ideas.
• Describe, present, design, implement, and experiment with novel machine learning architectures and models.
• Analyze experiments and form ideas and hypotheses to explain results.
• Run large-scale distributed machine learning experiments.
• Collaborate with the Staff Data Science team and other teams involved in machine learning and translational research.
• Resolve technical difficulties arising from data science and machine learning work.
• Develop ideas about data science and machine learning strategy in relation to business objectives.
• Contribute to technical and scientific design, planning, and integration of our platform across systems and algorithms.
• Provide technical and scientific guidance in data science model, algorithm, and system design reviews.
• Educate mid-level and junior ML researchers and data scientists.
• Support data science teams in maintaining up-to-date, high-quality documentation and code.

Qualifications

• Demonstrated research excellence with peer-reviewed publications in relevant journals and conferences.
• Proven track record of driving technical and scientific excellence and innovation.
• Expertise in pathology machine learning, foundation models, and robust medical machine learning models.
• Deep understanding of applying machine learning in the medical domain.
• Extensive knowledge of relevant deep learning models.
• Excellent communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.
• Team player with enthusiasm for contributing to team success.
• Extensive experience (6+ years) in designing, setting up, running, monitoring, and evaluating large-scale distributed machine learning trainings.
• Advanced degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field.
• Knowledge of best practices in software engineering, software architecture, and clean coding.
• Solid understanding of cloud technologies (GCP, AWS), containerization, and orchestration (Kubernetes, Ray).

Ideally, you also

• Contribute to open-source projects and scientific publications.
• Have experience with large-scale data processing systems such as Ray, Spark, etc.
• Extensive expertise in multiple programming languages and frameworks.
• Worked in a regulated environment (e.g., financial services, aerospace, healthcare).
• Knowledge of digital pathology or medical imaging.
• Experience with biomedical data processing and analysis.

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, LMU Munich, and TU Berlin.
• Work with a welcoming, diverse, and highly international team.
• Opportunity to take significant responsibility and grow your role within the startup.
• Expand your skills with a yearly Learning & Development budget of €1,000 (plus 2 L&D days), language classes, and internal development programs.
• Mentoring program for learning from and mentoring experts.
• Flexible working hours and teleworking policy.
• Enjoy 30 paid vacation days per year.
• Family & pet-friendly policies and flexible parental leave options.
• Subsidized membership for public transport, sports, and well-being.
• Social gatherings, lunches, and off-site events for a fun and inclusive work environment.
• Optional company pension scheme.