Research Engineer – Generative AI – AI Frontiers

Microsoft; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

Microsoft Research's AI Frontiers lab is looking for a Research Engineer specializing in Generative AI to enhance and innovate capabilities in large language models. This role offers the opportunity to work on cutting-edge technologies, developing practical applications for real-world challenges while collaborating with top minds in a vibrant research environment.

Qualifications

• 2+ years of related Machine Learning experience.
• Experience in building Generative AI pipelines.
• Ability to work as part of a multidisciplinary team.

Responsibilities

• Design, develop, execute, and implement technology research projects.
• Collaborate with other researchers, engineers, and product groups.
• Contribute to breakthrough research in AI.

Skills

Machine Learning

Collaboration

Effective Communication

Generative AI

Python

PyTorch

Education

Bachelor's in Computer Science

Master's in Computer Science

Doctorate in Computer Science

Job description

**Microsoft Research** **AI Frontiers** lab is seeking applications for the position of **Research Engineer** – **Generative AI** to join their team in Redmond, WA.

The mission of the AI Frontiers (https://www.microsoft.com/en-us/research/lab/ai-frontiers/overview/) lab 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 include work on Small Language Models (e.g., Phi, Orca), and Agentic AI (e.g., AutoGen, OmniParser, Magnetic-One, Magnetic-UI).

We are seeking Research Engineers to join our team and contribute to the advancement of Generative AI and Large Language Models (LLMs) technologies. As a Research Engineer, you will play a crucial role in developing, improving, and exploring the capabilities of Generative AI models. Your work will have a significant impact on the development of cutting-edge technologies, advancing state-of-the-art solutions, and providing practical applications for real-world problems.

Our ongoing research areas include, but are not limited to:

• Pre-training: especially of language models, action models, and multimodal models
• Alignment and Post-training: e.g., Instruction tuning and reinforcement learning from feedback
• Reasoning: Enabling LLMs to scale inference-time compute via reinforcement learning
• Action Models: Trailing models capable of taking action in the digital world (e.g., computer use and web agents)
• Orchestration and multi-agent systems: automated orchestration between multiple agents, incorporating collaboration, human feedback, and oversight

The AI Frontiers lab offers a vibrant environment for cutting-edge, multidisciplinary research, including access to diverse, real-world problems and data, opportunities for experimentation and impact, an open publication policy, and close collaborations with top academic institutions worldwide.

Microsoft’s mission is to empower every person and organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. We uphold values of respect, integrity, and accountability to foster an inclusive culture where everyone can thrive at work and beyond.

Responsibilities

As a Research Engineer in AI Frontiers, you will design, develop, execute, and implement technology research projects in collaboration with other researchers, engineers, and product groups. You will be part of a world-class research organization, contributing to breakthroughs in AI and translating ideas into products and services used globally.

Qualifications

Required Qualifications

• Bachelor's in Computer Science or relevant field with 2+ years of related experience
• OR Master's Degree in Computer Science or related field with 1+ year of related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Computer Science or related field
• OR equivalent experience
• 2+ years of related Machine Learning experience
• Experience in building Generative AI pipelines and/or integrating Generative AI into applications

Preferred Qualifications

• Experience in running experiments with LLM pre-training and/or fine-tuning
• Experience in building data collection and curation pipelines
• Ability to collaborate, communicate effectively, and work as part of a multidisciplinary team
• Keen interest in real-world applications and impact
• Experience with Python and PyTorch

The typical base pay range for this role varies by location and experience, with specific ranges provided for different levels and regions. Additional benefits and compensation details are available here.

Microsoft will accept applications and process offers on an ongoing basis. We are an equal opportunity employer, considering all qualified applicants without regard to various protected characteristics. For accommodations during the application process, please read more here.