Senior Machine Learning Engineer

🕒 September 22

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 18%

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LIME

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

🏭 Manufacturing

Healthcare • Manufacturing

LIME is a company that develops, produces, and distributes innovative rehabilitation robotics specifically designed for hand therapy. They specialize in enhancing rehabilitation through technologies like Continuous Passive Motion (CPM) devices and reharobotics, aimed at improving patient outcomes in hand therapy.

📋 Description

• Replace hand-written biomechanical exercise rules with a model that evaluates movement quality directly from keypoints • Develop a scalable, generalized model supporting hundreds of exercises and multiple fault classes • Address noisy keypoints, occlusion, dropped frames, and low-latency processing for Android and iOS edge devices • Collaborate with physiotherapists and doctors to define clinically correct execution and convert clinical judgement into learnable data and trustworthy evaluations • Identify, extract, and process relevant data sources • Shape the annotation strategy • Research new approaches and turn them into solutions • Design and implement deep learning pipelines focused on computer vision, from data through training and evaluation to deployment • Create tests and evaluations measuring both model and production performance • Support optimization of body and hand tracking models as part of a three-person data science team

🎯 Requirements

• Proven experience building, optimizing, and deploying Deep Learning/Computer Vision models to production with end-to-end ownership • Experience building models on time-based signals for action quality/error assessment in related fields such as assembly-step monitoring, surgical skill assessment, or ergonomics scoring from video • Practical experience applying transfer or few-shot learning to generalize model predictions to unseen motion or fault classes • Experience with model compression, quantization, and pruning for edge or resource-constrained devices • Strong Python engineering skills • Deep expertise in PyTorch or TensorFlow • Clean code practices, modular architecture, and testing principles • Background in biomechanics or physiotherapy is advantageous • Experience training pose estimation or hand tracking models from scratch is advantageous • Experience in a medical or otherwise regulated setting is advantageous

🏖️ Benefits

• Monthly voucher for shops, groceries or an Urban Sports Club membership • Office with height-adjustable desks, free parking, air conditioning, cool drinks and good coffee • Weekly team fitness sessions (e.g. Pilates, Tabata), darts and table tennis • Monthly fun events and yearly company offsites • Direct feedback, courses, mentoring, and the opportunity to publish research • Flexible scheduling and autonomy over working hours • Mutual support and zero-ego team culture

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