Job-Nr. 68529190

Senior Machine Learning Engineer (m/f/d)

LIME medical GmbH vor 1 Wochen

VollzeitSenior

StandortMainz, Bayern

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. Benefits:

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.

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. 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 We offer Hybrid, Mainz Full-time Permanent employee Why us?

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