Principal Applied Scienctist at Microsoft
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Token-Based Architectures, Multimodal Generation, Training Pipelines, Discrete Tokenisation, Model Deployment, Model Optimization, Quantization, Pruning, Fine-Tuning Techniques, Prompt Engineering, Instruction Tuning, RLHF, Video Generation, Temporal Modeling, Mentoring, Collaboration

Industry

Software Development

Description
Design and prototype unified token-based architectures that treat text and image data as sequences for coherent multimodal generation Build scalable training pipelines for large-scale image-text datasets using discrete tokenisation (e.g. VQ-VAE, DALL*E-style encoders). * Experience deploying models to production or on-device environments. Experience optimizing models for Neural Processing Units (NPUs) or other hardware accelerators. Knowledge of quantization, pruning, and efficient fine-tuning techniques. Experience with prompt engineering, instruction tuning, and RLHF. Exposure to video generation and temporal modeling. Experience mentoring junior scientists or engineers. Strong collaborative skills across cross-functional teams.
Responsibilities
Design and prototype unified token-based architectures for coherent multimodal generation. Build scalable training pipelines for large-scale image-text datasets.
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