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 developing next-generation human-computer interaction technologies. By leveraging the latest advancements in AI and exploring new hardware capabilities and device form factors, our team of scientists and engineers boasts a wealth of expertise in computer vision, multi-modal AI, spatial, and embodied AI.

As an ML Engineer, you will collaborate closely with various research and product teams to bring innovative experiences to the market. Many of these experiences will be powered by state-of-the-art computer vision and multimodal AI models. Your responsibilities will include collecting data, evaluating and training models, and writing production-quality code. Additionally, you will have the opportunity to engage in cutting-edge research in partnership with institutions like ETH Zurich, with the potential to publish in prestigious venues, present at workshops, and mentor students.

Microsoft’s mission is to empower every person and organization on the planet to achieve more. As employees, we unite with a growth mindset, innovating to empower others and collaborating to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability, fostering a culture of inclusion where everyone can thrive in the workplace and beyond.

Responsibilities

• Implement algorithms, design model architectures, run experiments, evaluate results, and build data pipelines.
• Develop data and learning solutions with a focus on 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:

• 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, 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, and 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 developing agent-based systems.

This position will be 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.

Note: 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.