(Senior) Machine Learning Engineer (m/f/d)

Reposted 12 Days Ago
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Munich, Bayern
In-Office
Mid level
Information Technology
Technology solutions that add real-time value in industries, logistics & sports. Discover our latest release: KINEXON OS
The Role
As a Senior Machine Learning Engineer, you will develop algorithms and models for sports analytics, focusing on real-time data processing and system optimization.
Summary Generated by Built In

THE TEAM AND ITS MISSION

We are a highly skilled team developing vision-based sports analytics tools for coaches. Our goal is to deliver meaningful metrics of athletic performance from video footage. To achieve this, we build real-time tracking pipelines, machine learning models, statistics aggregators, and integrate them into a scalable cloud architecture.

By joining us, you’ll help automate, optimize, and extend our existing solutions—currently focused on Basketball.


OUR TECH STACK
  • Languages & Frameworks: Python, Poetry, OpenCV, PyTorch  
  • Optimization: CUDA, TensorRT, Numba
  • Infrastructure: AWS, Docker, GitLab CI

YOUR TASKS

As a (Senior) Machine Learning Engineer, you will design and implement advanced algorithms and deep learning models at the core of our processing pipeline. Your work will extract metrics and detect events from time-series data. You’ll take technical ownership of key components, from design and development to monitoring and configuration.

Together with the team, you’ll tackle challenges such as:


  • Action recognition from video and skeleton-based time-series data  
  • Post-processing and aggregation of position and event data  
  • Real-time data processing  
  • Continuous integration and deployment  
  • Unit testing and code reviews

YOUR QUALIFICATIONS
  • Degree in Computer Science, Mathematics, Electrical Engineering, Physics, or a related field  
  • 3+ years of experience with Python  
  • 3+ years of experience in machine learning development  
  • Proficiency with Linux-based systems  
  • Strong understanding of software architecture and design patterns
  • Bonus Points:
    • Passion for Basketball 
    • Experience with AWS 
    • Background in Human Action Recognition 
    • Familiarity with Multiple Object Tracking 
    • Experience in real-time video processing

You can look forward to this with us

At KINEXON, you will meet people with a similar mindset who are passionate about innovative technologies and love to master new challenges in a team, as well as create great products.  
Become part of our team and enjoy the following benefits:  

  • #Freetime 30 days (DE) / 20 days (US) paid vacation to refuel your energy (for full-time employees)
  • #WeCare – take your time off for the family (parental leave etc.)
  • #WorkingHours – Early bird or night owl - you can choose your flexible work hours.
  • #FlexibleLocation – we work with a hybrid and remote model.
  • #OneTeam - We enjoy spending time together at regular team and company events.
  • #OnTop - further benefits selected by you annually out of a range of benefits that we offer (mobility, sports, vacation budget, training budget and more) 

If you want to find out more about our benefits, you can look here and with a visit to Instagram wearekinexon you can get a look behind the scenes.


About Us

KINEXON is a global location-based technology leader that develops groundbreaking hardware and software solutions for the Internet of Things (IoT). Our vision is a world in perfect, frictionless flow. Wherever assets, people or operations are in motion, we can improve and automate the underlying processes, creating powerful results for our customers. Founded in 2012, and headquartered in Munich, Germany, KINEXON has grown to more than 300 employees across offices in Munich and Chicago. 

Being a KINEXIAN means you are willing to create real impact for your team, department, and the company as a whole - all while contributing to our most valued asset, our culture.  

At KINEXON we want to establish and guarantee an environment in which each person has equal opportunities and has the ability to shine and develop. We believe passionately that employing a diverse workforce is central to the success of a company. Therefore our employment opportunities are open to all individuals, no matter which gender, race, religion, age, sexual orientation, ability, place of origion, or socioeconomic status.  

There is no better time to join than NOW. What are you waiting for? Join us on this exciting journey! 

Top Skills

AWS
Cuda
Docker
Gitlab Ci
Numba
Opencv
Poetry
Python
PyTorch
Tensorrt
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The Company
HQ: Munich
243 Employees
Year Founded: 2012

What We Do

KINEXON stands for connected and automated operations in manufacturing, logistics, sports and media organizations. Our full IoT-stack, which includes state-of-the-art cloud solutions, translates physical worlds into digital twins and provides intuitive tools to identify, optimize and automate processes. Through our leading solutions we enable our customers to achieve next-level performance, efficiency and sustainability.

360-degree connectivity also seamlessly integrates into existing IT infrastructures and allows to realize individual applications.

As a full-stack provider, KINEXON covers the entire range of sensors, cloud-software, consulting, and service. In addition, KINEXON possesses profound vertical expertise in manufacturing, logistics, professional sports, and media.

Among the clients are top international sports clubs from the NBA, NHL, NFL, Bundesliga, DEL, BBL, and HBL, globally active companies including BMW, Continental, Zalando, and Red Bull, as well as high-reach media enterprises such as Red Bull Mediahouse and Sky.

KINEXON has received several awards for its innovative solutions – for example, KINEXON won the awards for most innovative tech company in Bavaria, several IoT Awards in the US, and and "best young tech company" at the "Factory of the Year" awards, organized by A.T. Kearney and the industry journal “Die Produktion.”

KINEXON was founded by Dr. Alexander Hüttenbrink and Dr. Oliver Trinchera, former scientists of the Technical University of Munich. The headquarters in Munich, as well as the US offices in Chicago currently employ around 300 people.

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