Senior Software Engineer for Machine Learning, Aignostics
AI precision diagnostics for medical research
Open for applications
AI precision diagnostics for medical research
101-200 employees
Open for applications
101-200 employees
Company mission
To help take drug research from visual estimations under a microscope to precise analysis and quantification.
Role
Who you are
- 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 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
Desirable
- 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
What the job involves
- As a Senior Software Engineer for Machine Learning (d/f/m) at Aignostics, you work hand in hand 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
- Together with your colleagues you will take care of the machine learning software stack and thereby enable our teams to build medical grade quality and scalable machine learning models
- 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 your results to the team
- Mentor and guide junior engineers, providing technical leadership and insights
Our take
There has been a worldwide increase in the numbers and complexity of cancer cases, alongside a predicted global shortage of pathologists. With this, classic manual analysis does not have the capability to support the precision medicine and drug development processes of the future.
Through its precision diagnostics platform, Aignostics turns complex biomedical data into transformative insights. It is able to power target identification (for drug development) and biomarker analyses, as well as support clinical trials with its toolkits.
The company plans to continue expanding its portfolio with new product offerings for biopharmaceutical clients. It is also leveraging its latest funding round to support growth in the US, as well as the development of leading foundation models for pathology in collaboration with Mayo Clinic.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
47% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2024
$34m
SERIES B
Sep 2022
$14.6m
SERIES A
Total funding: $54.7m
Company benefits
- Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!
- Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
- Work with a welcoming, diverse and highly international team of colleagues
- Opportunity to take responsibility and grow your role within the startup
- Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs
- Mentoring program, you’ll learn from great experts
- Flexible working hours and teleworking policy
- Enjoy your well-deserved time off within our 28 paid vacations days per year
- We are family & pet friendly and support flexible parental leave options
- Pick a subsidized membership of your choice among public transport sports and well-being
- Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment
Company values
- Mission Driven - We have a big mission, and we achieve it by taking ownership & responsibility. We are a trusted partner and never put patients at risk. We do what’s right & fair
- Idea Meritocracy - At Aignostics, the best ideas win, not the loudest or most ‘senior’ voices. For this to work, we embrace diversity, equity and inclusion across various disciplines and viewpoints as a crucial success factor. We always keep an open mind to changing our approaches, give our honest opinion, and don’t shy away from the truth
- Teamwork - We want to build a sustainable and high performing organization. We believe the key factors to achieving this are being a true team player, relying on each other and working with humility & respect. We want to learn together and help each other shine. Therefore we are all “coachable” so that we can take honest feedback, admit mistakes and learn from them. We believe that a healthy work-life-balance is the basis for good performance
Company HQ
Government District, Berlin, Germany
Articles
Leadership
Viktor Matyas
(Co-Founder & CEO)Experience as a Research Analyst at Arthur D Little, and Junior Engagement Manager at McKinsey.
Maximilian Alber
(Co-Founder & CTO)Previously Intern at Google and Researcher at the Berlin Institute of Technology.
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