Machine Learning Engineer - Computer Vision (m/f/d)
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
- 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)
- 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
- 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
Upload your documents (CV, salary expectations and earliest possible start date) and specify the job ID #1765. Contact: Marina LambrechtFor further information: https://career.egym.com