
Senior Machine Learning Engineer
Posted 15 hours ago

Posted 15 hours ago
This is a fully remote position, open to applicants in Germany.
• Replace manually written biomechanical exercise guidelines with a model that assesses movement quality directly from keypoints.
• Create a scalable, generalized model capable of supporting hundreds of exercises and various fault categories.
• Tackle challenges related to noisy keypoints, occlusion, dropped frames, and low-latency processing for Android and iOS edge devices.
• Partner with physiotherapists and doctors to establish clinically accurate execution and translate clinical judgement into learnable data and reliable evaluations.
• Identify, extract, and process pertinent data sources.
• Develop the strategy for annotation.
• Investigate new methodologies and transform them into practical solutions.
• Design and implement deep learning pipelines focused on computer vision, encompassing data management, training, evaluation, and deployment.
• Establish tests and evaluations to measure both model and production performance.
• Assist in optimizing body and hand tracking models as part of a three-member data science team.
• Demonstrated experience in building, optimizing, and deploying Deep Learning/Computer Vision models to production with complete ownership.
• Background in developing models based on time-series signals for action quality/error evaluation in related domains such as assembly-step monitoring, surgical skill assessment, or ergonomics scoring from video.
• Practical knowledge in applying transfer or few-shot learning to extend model predictions to previously unseen motion or fault categories.
• Experience with model compression, quantization, and pruning for edge or resource-limited devices.
• Strong proficiency in Python engineering.
• In-depth expertise in PyTorch or TensorFlow.
• Adherence to clean code practices, modular architecture, and testing standards.
• A background in biomechanics or physiotherapy is a plus.
• Experience in training pose estimation or hand tracking models from the ground up is beneficial.
• Familiarity with a medical or otherwise regulated environment is advantageous.
• Monthly voucher for shopping, groceries, or an Urban Sports Club membership.
• Office equipped with height-adjustable desks, free parking, air conditioning, refreshing beverages, and quality coffee.
• Weekly team fitness activities (e.g., Pilates, Tabata), darts, and table tennis.
• Monthly social events and annual company retreats.
• Direct feedback, access to courses, mentoring, and opportunities to publish research.
• Flexible scheduling and autonomy over working hours.
• Supportive and collaborative team culture with no ego.
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