Internship Artificial Intelligence Machine Learning Research
7 days ago
Are you passionate about advancing the state-of-the-art in machine learning and driving meaningful innovationAs an intern in our team you will receive technical mentorship and guidance from a dedicated researcher and collaborate with a dynamic multidisciplinary and international team of researchers and engineers. Together with your mentor you will decide on a line of research that will impact the scientific research community future Apple products and society at large. Your work will be geared towards a publication at a top machine learning venue by the end of the internship. You will deliver high-quality ML research aligned with Apples core value ensuring the highest standards of quality scientific rigour innovation and respect for user are looking for individuals with a background in machine learning research as shown through academic publications or equivalent experience. Ideal candidates will have a deep curiosity for working at the intersection of foundation models and interactive reinforcement learning agents.Pursuing a PhD in Machine Learning Computer Science Statistics or a related technical field.Confirmed expertise in machine learning supported by a strong publication record in relevant conferences (e.g. NeurIPS ICML ICLR AISTATS CVPR ICCV ECCV ICASSP InterSpeech AAAI ACL FAccT).Hands-on experience working with Python and deep learning toolkits such as PyTorch and Jax.Ability to formulate a research problem design experiment and implement solutions.Strong software engineering skills.A passion for one of the following areas: multi-modal models generative AI reinforcement learning and agentic systems.Strong mathematical skills in linear algebra statistics and analysis.Ability to work in a collaborative environmentRequired Experience:Intern Key Skills Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting Employment Type : Intern Experience: years Vacancy: 1
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Cambridge, Cambridgeshire, United Kingdom Apple Full timeApplication Deadline: Sunday 23rd November Play a part in the revolution of machine learning research. Explore innovative methods, challenge existing metrics and protocols, develop new informative theories that reshape our understanding of ML. The Machine Learning Research team led by Samy Bengio, is looking for hard-working researchers to investigate the...
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Machine Learning Senior Researcher
1 week ago
Cambridge, United Kingdom Microsoft Full timeMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can...
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Cambridge, Cambridgeshire, United Kingdom Microsoft Full time £15,000 - £25,000 per yearThe Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in efficiency, intelligence, and alignment, and we are deeply engaged in collaborations that build on these foundations for systems, the...
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Cambridge, United Kingdom Microsoft Full timeThe Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in efficiency, intelligence, and alignment, and we are deeply engaged in collaborations that build on these foundations for systems, the...
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Cambridge, United Kingdom targetjobs UK Full timeArtificial Intelligence and Machine Learning Graduate Join the Artificial Intelligence and Machine Learning Graduate program at AVEVA. The program starts in September 2026 and is based in Cambridge, hybrid (3 days a week in office). R&D at AVEVA AVEVA is creating software trusted by over 90 % of leading industrial companies. Our global team of 2000+...
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Cambridge, Cambridgeshire, United Kingdom Microsoft Full time £40,000 - £70,000 per yearOverviewThe Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in efficiency, intelligence, and alignment, and we are deeply engaged in collaborations that build on these foundations for systems, the...
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Cambridge, Cambridgeshire, United Kingdom Microsoft Full time £44,000 - £76,000 per yearOverviewThe Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in efficiency, intelligence, and alignment, and we are deeply engaged in collaborations that build on these foundations for systems,...
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Cambridge, United Kingdom AVEVA Denmark Full timeArtificial Intelligence and Machine Learning Graduate page is loaded## Artificial Intelligence and Machine Learning Graduatelocations: Cambridge, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R011706**AVEVA is creating software trusted by over 90% of leading industrial companies.****AVEVA’s Early Careers Recruitment...
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Cambridge, Cambridgeshire, United Kingdom Microsoft Full timeOverview The Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in efficiency, intelligence, and alignment, and we are deeply engaged in collaborations that build on these foundations for systems,...
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Cambridge, Cambridgeshire, United Kingdom Microsoft Full timeOverview The Machine Intelligence team at MSR Cambridge (UK) is dedicated to foundational machine-learning research, guided by the principles of responsible AI, collaboration, and scientific excellence. Our work is grounded in efficiency, intelligence, and alignment, and we are deeply engaged in collaborations that build on these foundations for systems, the...
