Machine Learning Engineer / Machine Learning Engineeress

Overview

The Spatial AI Lab is a 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 while exploring new hardware capabilities and device form factors. Our team of scientists and engineers possesses extensive expertise in computer vision, multimodal AI, spatial, and embodied AI.

As an ML Engineer, you will collaborate closely with various research and product teams to bring innovative new experiences to the market. Many of these experiences will be powered by computer vision and multimodal AI models. Your responsibilities may include collecting data, evaluating and training models, and writing production-quality code. Moreover, you will have the opportunity to engage in groundbreaking research, working with partners like ETH Zurich to publish in top-tier venues, present at workshops, and mentor students.

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We cultivate a collaborative environment built on a growth mindset, striving to innovate and empower others. Each day, we uphold our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive in their roles 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 and 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.
• Proficiency 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 with strong problem-solving skills and a willingness to learn.

Preferred Qualifications:

• Ability to present complex technical concepts to diverse audiences.
• Experience quantizing deep neural networks for NPUs and GPUs; familiarity with 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. Please note that 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.