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Microsoft Senior Researcher - Deep Learning & AI – Microsoft Research 
United States, New York, New York 
782804592

17.09.2024

AI Frontierslab is seeking applications for the position ofrole can be located in anyone of our 3 labs: New York City, NY, Cambridge, MA, and Redmond, WA.

The mission of thelab is to expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects includeon Small Language Models (Phi, Orca), foundation models for actions (e.g., in gaming, robotics, and Office productivity tools) and Multi-Agent AI (

Large Action Model (LAM) andLarge Language Model (LLM) technologies. As a, you will play a crucial role in developing, improving, and exploring the capabilities ofAI modelstechnologies, advancingand providing practical solutions to real-world problems.

Our ongoing research areas encompass but are not limited to:

  • Pre-training: especially of language models, action models and multimodal models
  • Alignment andPost-training: e.g., Instruction tuning and reinforcement learning from feedback
  • Continual Learning: Enabling LLMs to evolve and adapt over time and learn frompreviousexperiences human interactions
  • Specialization: Tailoring models to meet application-specific requirements
  • Orchestration and multi-agent systems: automated orchestration between multiple agents incorporating human feedback and oversight

Embody our

Required Qualifications

  • Doctorate (or currently pursuing) in Computer Science
  • OR equivalent experience.
  • esearch programdemonstratedby publicationsat the followingconferences:NeurIPS,ICML,ICLR,ACL,NAACL,CVPR,COLT,ECCV,ICCV,


Preferred Qualifications

  • in Computer Science or relevant field AND2years related research experience
  • OR equivalent experience.
  • Experience in running large scale experiments with transformers/LLMs pre-training and/or finetuning
  • Experience with real world reinforcement learning, including large scale behavior cloning and policy optimization
  • Experience in creating,optimizingand running large scale machine learning pipelines
  • Experience with reasoning about learning systems including new theorems & proofs driving algorithm design
  • Experience in building data collection and curation pipelines.
  • Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.
  • Keen interest in real-world applications and impact.
  • Reference letters are welcomed, though they are not mandatory. Please include them if available.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Responsibilities

As ain AI Frontiers, you will design, develop, execute, and implement technology research projects in collaboration with other researchers, engineers, and product groups.

As a member of a word-class research organization, you will be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide.