[Hiring] Senior Machine Learning Engineer @LIME medical GmbH

Role Description

Our health apps guide patients through rehabilitation exercises, watch them train via camera and tell them what to correct. Your mission: Replacing biomechanical rules written by hand for each exercise with a model that evaluates movement quality directly from keypoints, handling the following challenges:

• Scale:
  • Hundreds of exercises, several fault classes each.
  • Generalization is needed to stay cost efficient.
• Constraints:
  • Edge deployment directly on mid-range Android or iOS devices.
  • Handle noisy keypoints, occlusion, dropped frames, and low-latency edge processing.
• Reference:
  • Correct execution is a clinical judgement defined by physiotherapists and doctors.
  • Turning that judgement into something a model can learn from 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 solutions.
• Design 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 and production performance.
• Hands-on work across the data science team, especially supporting the optimization of body and hand tracking models.

Qualifications

• 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.
• Practical experience applying transfer or few-shot learning to generalize model predictions.
• 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).

Requirements

• Strong candidates may also have an eye for how human bodies move: background in biomechanics or physiotherapy.
• Experience training pose estimation or hand tracking models from scratch.
• Worked in a medical or otherwise regulated setting.

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.

Company Description

Recovering from a musculoskeletal injury takes months of training and care. 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.