Staff Machine Learning Research Scientist, Aignostics

• Demonstrated research excellence, as demonstrated by your scientific track record: peer-reviewed publications in relevant journals and at relevant 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 what it means and takes to apply machine learning in the medical domain
• Extensive knowledge and understanding of relevant deep learning models
• Knowledge of the medical and/or biological domain is a highly valuable additional qualification
• Excellent communicative skills, able to articulate complex technical concepts to both technical and non-technical stakeholders
• You are a team player who gets enthusiastic when your contributions drive the team ahead
• Extensive experience with designing, setting up, running, monitoring and evaluating (i) large-scale distributed machine learning trainings, (ii) multimodal machine learning, or (iii) robust machine learning products; 6+ years of experience with this
• Advanced degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field that provides sufficient technical background to perform state of the art machine learning research
• Extensive experience with machine learning and statistical concepts, including advanced topics such as self-supervised learning, foundation models, representation learning, explainable AI (XAI), multimodal models
• Knowledge and routine application of best practices in software engineering, software architecture, and clean coding
• Solid understanding of cloud technologies (GCP, AWS), containerization and orchestration (Kubernetes, Ray)

Desirable

• As a Staff Machine Learning Research Scientist at Aignostics, you will play a crucial role in shaping the scientific and technical direction and integrity of our data science platform, projects, and products
• You will work hand in hand with our collaborators in academia and industry to push the state of the art for digital pathology
• Your expertise will be instrumental in driving scientific and technical excellence across all data science teams, ensuring we deliver high-quality, scalable solutions that transform complex biomedical data into actionable insights for cancer research and diagnostics.
• This is a unique opportunity to join a fun, diverse, and growing team of 100+ machine learners, software engineers, applied scientists, pathologists, and biologists to shape the next generation of cancer treatments
• You will be part of a driven community that works in an agile, supportive, and interdisciplinary research environment where your results make a difference to patients
• In our established startup, you have the opportunity to grow personally and technically, take on significant responsibilities, and benefit from a dynamic work environment
• You can expect to work on a broad spectrum of topics from deep learning with foundation and other state-of-the-art models on terabytes of data to projects in low sample regimes and very high-dimensional and multimodal data
• We have nearly all the data science challenges you can think of for you!
• You identify promising new directions based on the scientific literature, results from in-house experiments, and your own novel ideas
• You are able to turn these ideas into reality by describing, presenting, designing, implementing, and experimenting with novel machine learning architectures, models, and variants of existing models
• You analyze experiments that you and others run, and form ideas and hypotheses to explain results
• You run large-scale distributed machine learning experiments
• You work with the Staff Data Science team and with other teams involved in machine learning and translational research
• You resolve technical difficulties that arise as part of the data science and machine learning work
• You develop ideas about our data science and machine learning strategy, and how this relates to business objectives, so as to provide a competitive advantage
• You develop ideas about product management on technical and scientific feasibility and risks of complex product features
• You contribute to technical and scientific design, planning, and integration of our platform across systems and algorithms
• You provide technical and scientific guidance in data science model, algorithm, and system design reviews
• Educate mid-level and junior ML researchers and data scientists to bring them up to the next level
• Demonstrate long-term thinking and utmost technical and scientific excellence in your individual contributions
• Support data science teams in maintaining up-to-date, high-quality documentation and code