(Senior) Machine Learning Inference Engineer

R&D Software Mid-Senior Level Munich, BY, Germany

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.

Job Description

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

Qualifications

  • 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

Additional Information

  • Centrally located, modern work spaces
  • 30 days of vacation plus 24.12. and 31.12.
  • Flexible working hours as well as hybrid work model within Germany
  • 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!

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Your HR Contact Person
Daniel Sypli
Recruiter

Daniel Sypli [email protected]

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