4 of 4 Remote Computer Vision Jobs in Cambridge

As a Researcher, your main task will be to develop breakthrough technologies in the area of Vision and Language. You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges. While the target is mid- to long-term research, upon maturity of … their Engineering teams, which will then be in charge of driving the commercialization. Role and Responsibilities We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited … to: Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP). Visual LLMs (e.g. LLaVA). Generative Models (e.g. Stable Diffusion and Auto-Regressive models). Efficient Architectures. Model Compression (distillation, quantization). Efficient Adaptation of Large Models. Key Responsibilities: Conduct hands-on innovative research, including methodological conceptualization and implementation. Publishing at top venues: CVPR, ECCV, ICCV, ICLR More ❯

As a Researcher, your main task will be to develop breakthrough technologies in the area of Vision and Language. You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges. While the target is mid- to long-term research, upon maturity of … their Engineering teams, which will then be in charge of driving the commercialization. Role and Responsibilities We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited … to: Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP). Visual LLMs (e.g. LLaVA). Generative Models (e.g. Stable Diffusion and Auto-Regressive models). Efficient Architectures. Model Compression (distillation, quantization). Efficient Adaptation of Large Models. Key Responsibilities: Conduct hands-on innovative research, including methodological conceptualization and implementation. Publishing at top venues: CVPR, ECCV, ICCV, ICLR More ❯

and analysis Build and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow … seems like one that suits you and you have the necessary experience, then apply now! Otherwise, if you're looking for any other roles within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources. More ❯

and analysis Build and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow … seems like one that suits you and you have the necessary experience, then apply now! Otherwise, if you're looking for any other roles within AI/ML and Computer Vision, then reach out to Oscar Harper at IC Resources. More ❯