Senior Software Engineer - Machine Learning

Overview

The MicrosoftCoreAIPost-Training team is dedicated to advancing post-training methods for both OpenAI and open-source models. Their work encompasses continual pre-training, large-scale deep reinforcement learningrunningon extensive GPU resources, and significant efforts to curate and synthesize training data. In addition, the team employs various fine-tuning approaches to support both research and product development. The team also develops advanced AI technologies that integrate language and multi-modality for a range of Microsoft products. The team is particularly active in developing code-specific models, including those used inGithubCopilot and Visual Studio Code, such as code completion model and the software engineering (SWE) agent models. The team has also produced publications as by-products, includingworksuch asLoRA,DeBerTa, Oscar, Rho-1, Florence, and the open-source Phi models.We are looking for aSoftware Engineer2- MachineLearningwithsignificant experiencein large-scale model training, data curation, and hands-on coding. You will helpindeveloping LLMs, SLMs, multimodal, and coding models using both proprietary and open-source frameworks. Key responsibilities include improving model quality and training efficiency through advanced techniques and data strategies, and managing the full pipeline from data ingestion, evaluation, to inference.Our team values startup-style efficiency and practical problem-solving. We areseekinga curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact. Candidates must be self-driven, able to write high-quality code and debug complex systems, document their work clearly, anddemonstratesolid experience in shipping ML systems.

Qualifications

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience with Python and ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with training or fine-tuning LLMs or multimodal models.
• Familiarity with production ML systems and concepts like model serving, caching, batching, and monitoring.
• Understanding of distributed systems and cloud-based infrastructure.

Preferred Qualifications

#AI Platform Hiring#

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 Cloud background check upon hire / transfer and every two years thereafter.

Responsibilities

Responsibilities

Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect