Job description

Microsoft ResearchAI Frontierslabis seeking applications for the position ofSeniorMachine LearningEngineer–Action Models andGenerative AIto join their team inNew York, NY. Themission of theAI Frontierslabis to expand the pareto frontier ofArtificial Intelligence(AI)capabilities, efficiency, and safety through innovations in foundation models, generative AI,and learning agent platforms.Some of our projectsinclude work onlanguage models(e.g.,Phi, Orca),action models(e.g.,forracing,gaming,andoffice productivity),multi-agentsystems(e.g.AutoGen), and evaluation (e.g., Eureka). We are seekingaSenior Machine Learning Engineerto join our team andadvance the state-of-the-art infoundation models and Generative AI foractions and behavior.Our domains of interestinclude:web/OS agents, gamingagents, and real-time controlforracing.Our ongoing research areasincludebut are not limited to: • Novelarchitectures and representationsforefficient andgeneralizablelearning of action models • Multi-scale temporal reasoningand planningin transformer models • Pre-training methodsfor video generationand world modeling • Continuallearning andadaptation at human speed • Specializingmodels tocapture individual human behaviorand style • Steeringmodels towards specific behaviors vianatural language instruction As aSeniorMachine LearningEngineeron our team, you willwork hands-on on challenging and impactful projects.You will apply yourengineering skills andexpertiseto a range of problems including rapid prototyping and testing of research hypotheses,contributing to, releasing, andmaintaininghigh-quality open-sourcemodelsand frameworks, and building and deploying robust practical solutions to real world problems. Additionally, you will collaborate closely with other researchers,engineers, and product teamsacrossthe company to amplify your impact and grow your career in a supportive and stimulating environment. Microsoft Researchoffers a vibrant environment for cutting-edge, multidisciplinary research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic institutions around the world.  Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Required Qualifications • Bachelors in Computer Scienceor relevantfield AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, or Java • OR  equivalentexperience. • 4+ years of industry or academic experience in applying, implementing, and/or developing algorithms for machine learning, artificial intelligence, or statistics. • 2+ years of industry or academic experience with common ML engineering programming languages and platforms such as Python, Python numerical libraries, PyTorch, TensorFlow and/or Hugging Face. • 2+ years of industry or academic experience with building, debugging and optimizing large, high performance ML trainingpipelines. Preferred Qualifications • Mastersin Computer Scienceor relevant field AND6+ yearstechnicalengineering experience with coding in languages including, but not limited to, Python, C, C++, C#, or Java • OR Doctorate (or currently pursuing) in Computer Science orrelevantfield AND 2+ years technical engineeringexperienceas above • OR equivalent experience. • Demonstrated software engineering excellence building and deploying prototypes, applications, or open-source (OSS) technologies. Providing a link to a GitHub profile (if available) and/or code samples, is highly encouraged. • Deep understanding of deep learning model architectures,especially transformers and state space models. • Hands-on experience building and working withlargefoundation modelssuch asLarge Language Models (LLMs),Large action models(LAMs),ormultimodal models, including pre-training, fine-tuning, andinference. • Experience using and supporting ML infrastructure including job schedulers, big data storage, low latency interconnects,and large clusters ofGraphics Processing Units (GPUs). • Experience with high-frequency simulation environmentssuch as forgaming or racing. • Experience publishing academic papers at relevant conferences and journals (such asNeurIPS, ICML, ICLR, AAAI, ACL). • Ability to work independently and ramp-up quickly on complex, unfamiliar code. • Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team. • Keen interest in real-world applications and impact, and/or experienceworking in a commercial software product team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until September 29, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #Research • Apply Machine Learning (ML)engineering skills to build, test, and deployrobust and scalableAI-based technologies, libraries, and applications. • Work closely with researchers and engineers to rapidly prototype and test new AI research ideas,driving a high-impact agendaand publishing results whereappropriate. • Collaborate hands-on with other researchers, engineers, andinternal and externalproduct group partners on high-impact projects that deliver real-world impact to people and society. • Embody ourcultureandvalues.

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