Principal Applied Scientist (AI)

TL;DR

Principal Applied Scientist (AI): Designing and implementing state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads and Copilot with an accent on ad relevance and user/advertiser experience optimization. Focus on developing cutting-edge Generative AI, transformers, and reinforcement learning models and building robust data pipelines for large-scale, high-dimensional datasets.

Location: Mountain View, United States. Employees who live within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week.

Salary: USD $139,900 – $274,800 per year (typical U.S. range); up to $304,200 in San Francisco Bay/NYC areas.

Company

hirify.global Ads Engineering is focused on shaping the future of advanced AI at web scale, delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

What you will do

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance.
• 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.
• Stay at the forefront of AI research, incorporating the latest advancements to drive innovation.

Requirements

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
• OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.
• Proven experience in programming and data analysis skills.
• Proven expertise in Generative AI, deep learning, Reinforcement learning, transformers, or LLM.
• 6+ years of experience in developing and deploying large-scale machine learning models.

Culture & Benefits

• Work with a growth mindset, innovate, and collaborate to achieve shared goals.
• Values include respect, integrity, and accountability to create a culture of inclusion.
• Hybrid work model: expected to work from the office at least four days per week if within commute range of a designated U.S. Microsoft office.