Research Engineer - Generative AI - AI Frontiers Job at Microsoft Corporation (Redmond)

Principal Research Engineer - Generative AI - AI Frontiers

The AI Frontiers lab at Microsoft Research is charted with ambitious research go...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelors in Computer Science or relevant field AND 6+ years related experience
OR Master's Degree in Computer Science or related field AND 4+ years related experience
OR Doctorate in Computer Science or related field AND 3+ years related experience
OR equivalent experience
1+ year(s) experience developing with Python and Pytorch/JAX
Familiarity with architecture and optimizations for large language models
Hands-on work in debugging and profiling Pytorch distributed code
Basic understanding of working of CUDA kernels
Familiarity with pre-training, mid-training and/or post-training pipelines for language and/or multimodal models
Foundational understanding of reinforcement learning and key challenges in the field

Job Responsibility

Design, develop, execute, and implement technology research projects in collaboration with other researchers, engineers, and product groups
Be a part of research breakthroughs in the field and play a crucial role in developing, improving, and exploring the capabilities of Large Language Models (LLMs), reasoning and agentic AI
Embody our culture and values

Fulltime

Staff Machine Learning Researcher

Orbital uses AI to build data center hardware that outperforms the competition. ...

Location

United Kingdom , London

Salary:

Not provided

Orbital

Expiration Date

Until further notice

Requirements

5+ years of professional experience in ML/AI research or engineering
A relevant PhD + 2 years of professional experience in ML/AI research or engineering
Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
A genuine interest in building AI systems that enable breakthrough scientific and industrial applications

Job Responsibility

Set the technical bar and ensure engineering excellence
Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
Drive technical decisions on model selection, training approaches and deployment strategies
Deliver high-impact AI projects across diverse domains
Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
Rapidly upskill in new technical areas through close collaboration with domain experts
Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
Push the frontier of ML research

Fulltime

Staff Machine Learning Engineer

Orbital uses AI to build data center hardware that outperforms the competition. ...

Location

United Kingdom , London

Salary:

Not provided

Orbital

Expiration Date

Until further notice

Requirements

5+ years of professional experience in ML/AI research or engineering
OR a relevant PhD + 2 years of professional experience in ML/AI research or engineering
Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
A genuine interest in building AI systems that enable breakthrough scientific and industrial applications

Job Responsibility

Set the technical bar and ensure engineering excellence
Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
Drive technical decisions on model selection, training approaches and deployment strategies
Deliver high-impact AI projects across diverse domains
Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
Rapidly upskill in new technical areas through close collaboration with domain experts
Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
Push the frontier of ML research

Fulltime

Senior Researcher - Foundations of Generative AI

Microsoft Research AI Frontiers lab is seeking applications for the position of ...

Location

United States , New York

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate (or currently pursuing) in Computer Science or relevant field OR equivalent experience
Doctorate in Computer Science or relevant field AND 2+ years related research experience OR equivalent experience
Research program demonstrated by public artifacts like models, tools, code in the AI space or publications at conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP
2+ years of academic or industry experience in developing, applying, and/or implementing algorithms for machine learning/statistics, using common ML engineering programming languages and platforms such as Python, Python numerical libraries, PyTorch, TensorFlow and/or HuggingFace
Experience publishing academic papers as a lead author or essential contributor in a top AI conference or journal
Deep understanding of frontier model architectures, especially transformers and state space models
Hands-on experience building and working with Large Language Models (LLMs) or multimodal models (VLMs, VLAs), including pre-training, fine-tuning, and inference
2+ years of industry or academic experience with building, debugging and optimizing large-scale ML training pipelines
Demonstrated software engineering excellence building and deploying prototypes, applications, or open-source (OSS) technologies
Ability to work independently and ramp-up quickly on complex projects or unfamiliar code

Job Responsibility

Apply research and engineering skills to develop, prototype, and evaluate cutting-edge research ideas
Work closely with other researchers and engineers to rapidly prototype and test new research ideas, driving a high-impact agenda and publishing results where appropriate
Collaborate hands-on with other researchers, engineers, and internal and external product groups to deliver high-impact solutions to real-world problems
Embody our culture and values

Fulltime

New

Member of Technical Staff, LLM Inference - MAI Superintelligence Team

Our Inference team is responsible for building and maintaining the tools and sys...

Location

United States , Mountain View

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience with generative AI
Experience with distributed computing
Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise
Experience with large scale production inference
Experience with GPU kernel programming
Experience benchmarking, profiling, and optimizing PyTorch generative AI models
Experience with open source inference frameworks like vLLM and SGLang
Working experience and conversant with the material in the JAX scaling book

Job Responsibility

Work alongside researchers and engineers to implement frontier AI research ideas
Introduce new systems, tools, and techniques to improve model inference performance
Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues
Build tools and establish processes to enhance the team’s collective productivity
Find ways to overcome roadblocks and deliver your work to users quickly and iteratively
Enjoy working in a fast-paced, design-driven product development cycle
Embody our Culture and Values

Fulltime

Director, Applied AI Engineering- Enterprise

Join the team shaping the future of AI at Scale. The Applied AI team works on th...

Location

United States , San Francisco; New York

Salary:

285200.00 - 356500.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

8+ years of experience building, deploying, and scaling ML systems in production, including Enterprise-grade Gen AI and agentic applications
6+ years of people leadership experience, including managing managers and leading multi-team organizations delivering customer-facing AI products
Deep applied expertise in Gen AI, including LLM-based systems, agent orchestration, evaluation and reliability frameworks, and production system design
Experience owning end-to-end AI product delivery—from problem definition and technical architecture to deployment, iteration, and scaling
Strong technical judgment across software engineering, system design, and applied ML fundamentals
Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners
Bachelor’s degree required
Master’s or PhD in Computer Science or a related field strongly preferred

Job Responsibility

Drive enterprise impact with GenAI: Partner directly with customers to identify high-leverage opportunities for generative AI, design solutions, and deliver production systems that create clear business value
Lead and scale a GenAI-native Applied AI organization: Build, mentor, and manage multiple teams of Applied AI Engineers and ML Engineers who are native to modern GenAI technologies, agentic systems, and multimodal models
Set technical and strategic direction: Define best practices for agent development, evaluation, deployment, and iteration across customer engagements and internal product efforts
Bridge frontier research to real-world applications: Translate advances in LLMs, multimodal models, and agentic workflows into practical, scalable solutions across industries
Discover model limitations and inspire innovation: Identify failure modes, inefficiencies, and gaps in current models
use these insights to influence internal research, product roadmaps, and customer strategy
Partner cross-functionally: Work closely with Product, Research, Sales, and Leadership to shape Applied AI offerings, prioritize investments, and guide long-term platform evolution
Influence the broader AI ecosystem: Represent Scale’s Applied AI capabilities with customers and partners, and help position Scale as a trusted leader in enterprise GenAI deployment

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend

Fulltime

AI Research Engineer, Enterprise Evaluations

Scale AI is seeking a technically rigorous and driven AI Research Engineer to jo...

Location

United States , San Francisco; New York

Salary:

179400.00 - 224250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience
2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure
Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments
Strong understanding of frontier model evaluation methodologies and the current research landscape
Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow)
Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality

Job Responsibility

Partner with Scale’s Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems
Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments
Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools
Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend
equity grant

Fulltime

Principal Software Engineer - Red Team

The ‘Microsoft Red Team Engineering’ team develops red team tools for use by hum...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design, implement, and support AI-driven red team services using generative as well as traditional AI techniques
Research, experiment with, and productionize frontier AI capabilities and design patterns
Research the latest attack techniques used by internal red teams and external threat actors
Contribute to red team tools for use by both human operators and AI red teaming services
Support partner development teams in contributing to our services and tools
Partner with internal defensive security teams to improve their detection, investigation, and response capabilities
Build strong relationships with your peers through design, code reviews, and mentoring

Fulltime

Research Engineer - Generative AI - AI Frontiers

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 11, 2026

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