[Remote] Senior Machine Learning Engineer (m/f/d)

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