Senior Machine Learning Engineer

🕒 il y a 1 mois

🇩🇪 Allemagne – Télétravail

⏰ Temps Plein

🟠 Senior

🤖 Ingénieur Machine Learning

🗣️🇺🇸🇬🇧 Anglais requis

Android

Assembly

iOS

Python

PyTorch

Tensorflow

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LIME

11 - 50 employés

🏥 Santé

🏭 Fabrication

Healthcare • Manufacturing

LIME développe, produit et distribue des robots de rééducation innovants pour la thérapie de la main.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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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