Note: The job is a remote job and is open to candidates in USA. LIME develops robotic and digital medical devices that support personalized rehabilitation. The Senior Machine Learning Engineer will replace hand-written exercise assessment rules with a generalizable movement-quality model and own its development, evaluation, and deployment, including support for body and hand tracking models.
Responsibilities
- Replacing them with a model that evaluates movement quality directly from keypoints, handling the following challenges:
- 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, 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
Skills
- 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
- 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
- Direct feedback, courses, mentoring, and the opportunity to publish research you work on
- Flexible scheduling, including the freedom to arrange personal appointments during the workweek and complete tasks on Saturday
- 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
- Hybrid work arrangement
Company Overview