Senior Machine Learning Engineer

Company Description LIME medical develops, produces, and distributes innovative rehabilitation robotics focused on hand therapy. The company combines advanced engineering and healthcare expertise to create technology that supports recovery and improves quality of life for patients. Team members at LIME medical work on cutting-edge solutions that integrate robotics, software, and clinical insights. Joining LIME medical offers the opportunity to contribute to impactful products in a rapidly evolving medtech environment. Role Description Our health apps guide patients through rehabilitation exercises, watch them train via camera and tell them what to correct. Today that runs on biomechanical rules written by hand for each exercise. Your mission: Replacing them with a model that evaluates movement quality directly from keypoints, handling the following challenges: Scale: Hundreds of exercises, several fault classes each, and what counts as a fault shift with the impairment. Adding new exercises or error classes should stay cost efficient – with one model per exercise we don’t get there, so generalization is neededConstraints: Edge deployment directly on mid-range Android or iOS devices. You will handle noisy keypoints, occlusion, dropped frames, and low-latency edge processing to give patients instant feedback to their exercise repetition.Reference: Correct execution is a clinical judgement, and our physiotherapists and doctors are here to define it with you. Turning that judgement into something a model can learn from, and into an evaluation we can trust, is part of the research question Having end to end ownership for the feedback model also includes: Identify, extract, and process data from relevant sources, and shape the annotation strategy Research new approaches and turn them into solutionsDesign and implement deep learning pipelines with a focus on computer vision, from data through training and evaluation to deployment.Create tests and evaluations that measure model, but also production performance With a data science team of three, you will also do hands-on work across the team, especially supporting the optimization of our body and hand tracking models. Qualifications Strong foundation in Computer Science and Algorithms, with experience in building scalable, production-grade systems.Expertise in Pattern Recognition and Neural Networks for time-series, sensor, or motion data analysis.Proficiency in Statistics for experimental design, model evaluation, and performance analysis.Hands-on experience with modern ML frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python.Background in signal processing, control systems, or robotics is highly beneficial.Experience deploying ML models to production environments (cloud or edge) and working with CI/CD pipelines.Ability to collaborate effectively in remote, cross-functional teams and communicate complex technical concepts clearly.Master’s degree or PhD in Computer Science, Data Science, Electrical Engineering, or a related field, or equivalent practical experience.Experience in healthcare, medical devices, or human–computer interaction is a plus. Your Profile Proven experience building, optimizing, and deploying Deep Learning/Computer Vision models to production with end-to-end ownership.Experience with building models on time-based signals for action quality/error assessment for closely related fields like 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 deploying models on edge or resource constrained devices.Strong Python engineering skills with deep expertise in PyTorch (or TensorFlow) alongside clean code practices, modular architecture, and testing principles. Not mandatory but ideal for this role: An eye for how human bodies move: background in biomechanics or physiotherapyExperience training pose estimation or hand tracking models from scratchWorked in a medical or otherwise regulated setting About Lime medical Recovering from a musculoskeletal injury takes months of training and care. However, due to the strain on healthcare systems, supervised therapy only covers a fraction of that time. Patients go through most of their recovery at home, without supervision, feedback or guidance, which leaves them unsure whether they are doing the exercises right or even making things worse. Our portfolio of robotic and digital medical devices bridges this gap by providing highly personalized therapy in line with state-of-the-art medical guidelines. With over ten years' experience in the MedTech sector, we combine the reliability of an established healthcare company with the speed of a lean, tech-focused team of 30 people located in Mainz. We develop all our products in-house, leveraging modern technologies to eliminate administrative overheads and maintain high efficiency. This allows us to focus our efforts on what matters most: providing reliable products that improve lives. Our Values One Team One Dream: Remember being the person who did all the work in university group projects? Imagine a team made up entirely of those people - working together with mutual support, and zero ego games.Freedom & Responsibility: You know your calendar and your deadlines. Feel free to take a Yoga class on Wednesday morning or go the dentist on Monday afternoon - and finish your tasks on Saturday to make it all happen in time. Take responsibility and gain freedom to accomplish things your way.Best Ideas Win: We make decisions based on facts and strong arguments, never hierarchy or titles. You are not just allowed to speak up - you are expected to.Get Things Done: An idea is worth nothing until it survives contact with a real user. So we ship early, fail fast and learn from it. That is how our small team gets things done in weeks that larger organisations take years to finish.Level Up: You own your growth. We support you with direct feedback, courses, mentoring, and the opportunity to publish the research you work on. We are looking forward to hear from you, please send your application to jobs@lime-medical.de