Machine Learning Engineer / Machine Learning Engineeress

Overview

The Spatial AI Lab is part of the Applied Sciences Group, a Microsoft research and development organization dedicated to creating next-generation human-computer interaction technologies. We leverage the latest advancements in AI and explore new hardware capabilities and device form-factors. Our team of scientists and engineers possesses extensive expertise in computer vision, multi-modal AI, and spatial and embodied AI.

As an ML Engineer, you will work closely with various research and product teams to deliver compelling new experiences to the market. Many of these experiences will be powered by computer vision and multimodal AI models. Your role may include collecting data, evaluating and training models, and writing production-quality code. You will also have the opportunity to engage in cutting-edge research, collaborating with partners like ETH Zurich, to publish in top-tier venues, present at workshops, and mentor students.

Microsoft’s mission is to empower every person and organization on the planet to achieve more. 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 foster a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Implement algorithms, design model architectures, run experiments, perform evaluations, and build data pipelines.
• Develop data and learning solutions for scalability, efficiency, and performance.
• Curate training and evaluation datasets/benchmarks.
• Optimize deep neural networks for deployment on Neural Processing Units (NPUs), GPUs, and cloud environments, maximizing efficiency and performance.

Qualifications

Required Qualifications:

• A Master’s degree in Computer Science or 3+ years of relevant industry experience.
• Proficient in programming languages such as Python and/or C++.
• Hands-on experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).
• Self-motivated team player, problem solver, and eager to learn.

Preferred Qualifications:

• Ability to present complex technical concepts to diverse audiences.
• Experience quantizing deep neural networks for NPUs and GPUs, including familiarity with the ONNX format.
• Hands-on experience in training and fine-tuning deep neural networks.
• Knowledge of distributed computing frameworks (e.g., Ray) and experience using Azure Machine Learning (AzureML) for model training and deployment.
• Background in building agent-based systems.

This position will remain open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Apply online using the form below.

Only applications matching the job profile will be considered.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations, and ordinances.