Research Intern - Machine Learning - People Centric AI at Microsoft
Cambridge, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Generative Models, Decision Making, Reinforcement Learning, 3D Computer Vision, Multi-Modal Representation Learning, Deep Learning, Research, Programming, Communication, Collaboration

Industry

Software Development

Description
In collaboration with your mentor and a diverse team, contribute to solving an ambitious research challenge and translate your results into actionable insights that are relevant to potential applications in creative media, robotics and gaming. Write code and contribute to shared codebases to test the new approach or hypotheses. Distil the developed insights into effective communications, such as a research paper, prototype, demonstration, presentation or another appropriate format to reach internal and external technical and general audiences. Currently enrolled in a Masters or PhD program. Research experience in at least one of the following or related areas: Generative models (world models, diffusion, autoregressive models) and controllability; Decision making, reinforcement and imitation learning (representation learning, planning, zero or few shot and sim-2-real generalization, fine-tuning foundation models); 3D computer vision (Gaussian splatting, NERF); Multi-modal representation learning; Training and fine-tuning large multimodal (including but not limited to vision-language) models. Strong understanding of state-of-the-art deep learning approaches. Hands-on experience in implementing and empirically evaluating deep learning approaches. Effective communication skills and ability to work in a collaborative environment. Currently enrolled in a PhD program in Artificial Intelligence, Machine Learning, Computer Science or a related area. Ability to carry out research in at least one of the areas mentioned above, demonstrated by at least one journal or conference publication in one of the top publication venues in your research area.
Responsibilities
Contribute to solving an ambitious research challenge and translate results into actionable insights. Write code and contribute to shared codebases to test new approaches or hypotheses.
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