Machine Learning Engineer - Computer Vision (m/f/d)

Permanent employee, Full-time · Germany, Munich

Your daily workout

Join our ambitious team in Munich pioneering technology at the intersection of Fitness, Health Tech, Computer Vision, and Machine Learning! We are researching and developing prototypes for early-stage breakthrough product initiatives. We need a self-starter who thrives in a rapidly evolving environment, appreciates high autonomy, and is ready to make a significant impact. You bring to the table proven expertise in deep learning, ideally paired with robust data pipelines, 3D perception, human motion, or real-time inference at the edge.
Ready to shape the future of fitness technology? Apply now!

Machine Learning: You build ML models for Computer Vision tasks - define experiments, perform data reviews, and iteratively improve model performance
Prototyping: You get your hands dirty building prototypes and support the team with user experience testing and other necessary tasks
Ownership: You are fearless in taking decisions, asking questions, proposing solutions, experimenting, and failing fast
Communication: You effectively communicate progress, challenges, and solutions with the rest of the team
Architecting: You experiment with and architect solutions iteratively

Your fitness level

Core Experience: You have proven experience (2+ years) building and orchestrating ML models for Computer Vision tasks
Technical Stack: You are highly proficient in Python and expert in relevant ML frameworks (PyTorch, TensorFlow/Keras) and packages (NumPy, Pandas)
Data Skills: Preferably, you have hands-on experience with data science tooling and expertise in dataset curation, analysis, and cleaning for ML training
Code Quality: You write high-quality, maintainable code using sound software engineering principles and are familiar with CI/CD tools
Foundations: You have a solid theoretical and practical foundation in the fundamentals of ML, Computer Vision and follow the latest trends in related applications (e.g. human pose estimation, multi-view geometry, active learning, or semi-supervised labeling)

Your training goal for your first 6 months

Integration: You integrate into our team and deeply understand the current product context and vision
Familiarity: You master the relevant theoretical concepts and cutting-edge tech stack, including Edge AI, ROS2/gstreamer, Docker containers, and real-time inference
Pipeline: You drive the design and implementation of novel Computer Vision pipeline components to address real-world problems where no "off-the-shelf" solutions exist
Validation: You take part in validating your solutions and gathering feedback through dedicated user experience tests

The equipment we provide

Best-in-class Development Tools: Assess AI tools for designing, coming up with solutions, and coding
Impact & Ownership: Shape the product itself, ensuring your work in our fast-learning environment has real-world impact from day one
Modern Culture: Be part of a modern and international company culture where talent and passion are welcomed, heard, and part of the decision-making process
Work-Life-Balance: Benefit from flexible working hours, hybrid working policy (2 office days), and 30 days of vacation per year
Fit & Healthy: Train for free with EGYM Wellpass in several thousand sports and health facilities across Germany and/or use our in-house gym with EGYM products
Mentoring Program: Exchange knowledge and grow together across teams and locations through our self-organized mentoring platform
Mobility: Enjoy a monthly travel subsidy for public transport
Discounts: Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal
Bike Leasing: Stay active and use our leasing bike offer on your way to work or in your spare time
Subsidized Pension: Profit from our employer-subsidized pension

Contact Information

Upload your documents (CV, salary expectations and earliest possible start date) and specify the job ID #1765.

Contact: Marina Lambrecht

For further information: https://career.egym.com
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About us

Become part of EGYM!

EGYM is a global fitness technology leader, providing fitness and health facilities with intelligent workout solutions. EGYM makes exercising smarter and more efficient with its comprehensive suite of connected gym equipment and digital products that integrate seamlessly with 3rd-party-hard- and software. The result is a fully connected training experience that drives measurable business and health outcomes on and off the training floor.

EGYM also offers subscription-based corporate fitness- and wellness solutions built on a combination of gym-access and EGYM fitness programs that directly target costly chronic conditions and boost employee health, leading to higher productivity and well-being.

EGYM's global headquarters are in Munich, Germany, with North American offices in Denver, Colorado.

EGYM is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs, regardless of race, gender, religion, sexual orientation, age or any other aspect of an individual's identity.

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Become part of EGYM and apply now

Thank you for your interest in EGYM. To complete your application, please fill in the following short form and upload your documents. Should there be any difficulties, please send us an e-mail to jobs@egym.com.

We look forward to getting to know you!