Description
Summary
Microsoft AI are looking for a talented Senior Applied Scientist at their Toronto office. This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.
About the Role
In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences. Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.
Accountabilities
- Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
- Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.
- Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
- Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
- Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.
The Candidate we're looking for
Experience:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate 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 equivalent experience.
Technical skills:
- Proven experience in programming and data analysis skills.
- Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
- 5+ years of experience in developing and deploying large-scale machine learning models.
Personal attributes:
- Strong problem-solving skills and ability to work independently.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced environment and adapt to changing priorities.
Benefits
- Competitive salary range of CAD $114,400 – CAD $203,900 per year.
- Comprehensive benefits package, including health, dental, and vision insurance.
- Opportunities for professional development and growth within the company.
- Collaborative and dynamic work environment.
- Access to cutting-edge technology and resources.
- Flexible work arrangements, including remote work options.