AI Engineer / Scientist — Computer Vision & Deep Learning (Health Technology) - Contract to Hire

Remote, USA Full-time
AI Engineer / Scientist — Computer Vision & Deep Learning (Health Technology)Budget: $500/month (part-time)Hours: 20–25 hrs/weekLocation: RemoteCompany: UNVRS AI Technologies (UK-based)About the ProjectWe are building next-generation AI systems that use computer vision and deep learning to analyse biological samples from mobile devices. Our product is early-stage, innovative, and involves:• advanced computer vision• image-based inference• multi-task deep learning• mobile AI pipelines• real-time inference optimisationWe are assembling a small, high-calibre team of AI engineers and scientists to help develop and scale our core models.This role is ideal for someone who:• is excited by hard technical problems• wants to work on meaningful health technology• thrives in an early startup environment• enjoys combining research + engineeringWhat You’ll Be Working On (High Level — No sensitive details)• Building and improving CV models for analysing small biological samples• Designing multi-task learning systems running on mobile-device image inputs• Feature extraction, model training, optimisation, and evaluation• Building pipelines that combine image features + metadata + ground-truth values• Supporting dataset structuring (annotation specs, pre-processing, labelling logic)• Implementing inference flows that can run on backend servers or mobile apps• Researching state-of-the-art methods in:• visual biomarkers• signal extraction• multi-head architectures• weakly supervised learningRequired Skills• Strong background in deep learning & computer vision• PyTorch or TensorFlow• CNNs, ViTs, multi-task architectures• Experience training models on RGB images• Understanding of:• feature extraction• augmentation pipelines• supervised learning with noisy labels• Experience building inference-ready models• Ability to read research papers and propose solutions quickly• Strong research mindset — experimental, curious, scientifically rigorous⭐ Bonus Skills (Not required, but highly valued)• Experience with medical imaging or biological datasets• Experience building computer-vision pipelines for mobile or edge devices• Knowledge of data engineering or MLOps• Scientific background (bio/biomed/physics/math)What We’re Looking For in a Person• Ownership mindset — you take responsibility for your domain• Can work independently and propose solutions• Comfortable in ambiguity, fast iteration, and experimentation• Able to research, prototype, test, refine• Strong communication and clarityWhy Join Us• Work directly with founder & technical leadership• Build AI that will be deployed in the UK, Africa, and global settings• Build something meaningful in global health• Cutting-edge CV/ML work on a real product• Long-term incentive opportunities for core contributors (handled outside Upwork in compliance with platform rules) Apply tot his job
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