Senior Software Engineer for Machine Learning
vor 4 Wochen
We are seeking a highly skilled Senior Software Engineer for Machine Learning to join our team at Aignostics GmbH. As a key member of our engineering team, you will be responsible for designing, developing, and deploying robust machine learning pipelines to improve cancer research and diagnostics.
As a Senior Software Engineer for Machine Learning, you will work closely 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.
Our ideal candidate will have a strong background in software development, machine learning, and distributed systems. You will be responsible for designing and implementing scalable and efficient machine learning pipelines, as well as collaborating with cross-functional teams to understand business requirements and translate them into ML solutions.
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are passionate about machine learning and want to make a difference in the fight against cancer, we encourage you to apply.
Key Responsibilities- 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.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- 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.
- 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.
- 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.
Aignostics GmbH is a purpose-driven startup working collectively to fight cancer and improve patient outcomes. We are a growing team of over 100 interdisciplinary professionals, with employees in Berlin and New York. We have received over $20M in funding from leading investors and are committed to offering equal employment and promotion opportunities for all applicants and employees.
We value and celebrate diversity and inclusion, and we are committed to creating a welcoming and inclusive work environment. If you are passionate about machine learning and want to make a difference in the fight against cancer, we encourage you to apply.
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