(Senior) Machine Learning Inference Engineer (m/w/d)
Snke OS™ is a universally deployable digital B2B platform, founded in 2020 & headquartered in Munich. Emerging technologies continue to drive a digital transformation in the healthcare economy. Our founders recognized the potential for value creation by decoupling & deploying their best-in-class platform & team so that other companies can scale up & innovate efficiently. Fueled by AI & big data analytics, Snke OS delivers the platform & infrastructure that enables partners across the healthcare industry to deploy digital solutions for safer & more efficient interventions.
The 150-person Snke OS team brings a wealth of experience to the new company with backgrounds in large platforms, digital health & software-driven medical technology. Let’s impact the industry together! We are looking for pioneers to lead fast & lead first with Snke OS.
(Senior) Machine Learning Inference Engineer
For our ambitious and growing Data Intelligence department, we are looking for a Machine Learning Inference Engineer with a strong background in software engineering.
In this position, you will
Work on software development projects that support our machine-learning activities
Take responsibility for optimization and acceleration of state-of-the-art deep-learning models
Develop efficient algorithms and data structures
Contribute to learning-based solutions for a variety of tasks in medical data analysis
Share your knowledge and provide technical guidance to your colleagues in the development team
Ultimately have impact on the daily work of medical professionals around the world
Education in mathematics, physics, computer science or a similar background
Strong background in software engineering and C++
Experience with Python and modern machine-learning frameworks
Experience with model optimization for inference
Eagerness to be part of a high-skilled, dynamic team where your talent is both, challenged and supported
Fluency in English, and ideally knowledge of or willingness to learn German
Centrally located, modern work spaces
30 days of vacation plus 24.12. and 31.12.
Flexible working hours
Secure bicycle storage room
Regular after-work, team & company events
Great 212m² roof terrace
International team of supportive colleagues
Comprehensive training and continuing education opportunities
Interested? Then we are looking forward to receiving your online application!
Contact person: Daniel Sypli