Description
Summary
Microsoft AI are looking for a talented Senior Applied Scientist at their Mountain View 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. You'll design and implement state-of-the-art machine learning models and algorithms that power scalable solutions that enhance ad relevance and optimize user and advertiser experiences.
About the Role
In this role, you will 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. You will design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation, and ad relevance. You will drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions. You will build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications. You will stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.
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.
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.
Personal attributes:
- Strong communication and collaboration skills.
- Ability to work in a fast-paced environment and adapt to changing priorities.
Benefits
- Competitive salary range of $119,800 - $234,700 per year.
- Comprehensive benefits package, including medical, dental, and vision insurance.
- 401(k) matching program.
- Paid time off and holidays.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.