Applied Scientist
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 leveraging the most recent AI developments and exploring new hardware capabilities and device form-factors. Our team has expertise in computer vision, multi-modal AI, spatial and embodied AI. As Applied AI Scientist you will work closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences will be powered by computer vision and multimodal AI models. You may work on collecting data, evaluating and training models, and writing production quality code. You will also have the opportunity to join cutting edge research working with partners like ETH Zurich to publish in top-tier venues, present at workshops, and mentor students.
Responsibilities
- Implement machine learning algorithms and run experiments
- Build scalable machine learning solutions and benchmarks
- Curate training and evaluation datasets
- Optimize models for Neural Processing Units (NPUs)
Qualifications
Required/minimum qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience
Preferred Qualifications:
- Ability to discuss and present complex technical concepts to diverse audiences.
- Hands-on experience in training and fine-tuning deep neural networks.
- Experience quantizing models for NPUs and GPUs.
- Familiarity with ONNX format.
- Background in building agent-based systems.