Microsoft Research's AI Frontiers lab is seeking to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models, generative AI, and learning agent platforms. The Senior Machine Learning Engineer will advance the state-of-the-art in foundation models and Generative AI for actions and behavior.
Requirements
- 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 training pipelines.
- Deep understanding of deep learning model architectures, especially transformers and state space models.
- Hands-on experience building and working with large foundation models such as Large Language Models (LLMs), Large action models (LAMs), or multimodal models, including pre-training, fine-tuning, and inference.
- Experience using and supporting ML infrastructure including job schedulers, big data storage, low latency interconnects, and large clusters of Graphics Processing Units (GPUs).
- Experience with high-frequency simulation environments such as for gaming or racing.
Responsibilities
- Apply Machine Learning (ML) engineering skills to build, test, and deploy robust and scalable AI-based technologies, libraries, and applications.
- Work closely with researchers and engineers to rapidly prototype and test new AI research ideas, driving a high-impact agenda and publishing results where appropriate.
- Collaborate hands-on with other researchers, engineers, and internal and external product group partners on high-impact projects that deliver real-world impact to people and society.
- Contribute to, releasing, and maintaining high-quality open-source models and frameworks.
- Building and deploying robust practical solutions to real world problems.
- Novel architectures and representations for efficient and generalizable learning of action models
- Multi-scale temporal reasoning and planning in transformer models
Other
- Embody our culture and values.
- Collaborate closely with other researchers, engineers, and product teams across the company to amplify your impact and grow your career in a supportive and stimulating environment.
- 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 experience working in a commercial software product team.
