Senior Applied Scientist (AI/Machine Learning)

TL;DR

Senior Applied Scientist (AI/Machine Learning): Design and implement state-of-the-art machine learning models and algorithms for Microsoft Ads and Copilot with an accent on ad relevance and optimizing user and advertiser experiences. Focus on developing cutting-edge models like transformers, generative AI, and reinforcement learning, driving experimentation, and building robust data pipelines for large-scale datasets.

Location: Mountain View, United States. Employees 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 $158,400 – $258,000 per year (San Francisco Bay Area)

Company

hirify.global is shaping the future of advanced AI at web scale, impacting millions of users and advertisers.

What you will do

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, generation, and 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/Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research); OR Master’s Degree AND 3+ years; OR Doctorate AND 1+ year.
• Proven experience in programming and data analysis skills.
• Proven expertise in Generative AI, deep learning, Reinforcement learning, transformers, or LLM.

Nice to have

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field AND 6+ years related experience; OR Doctorate AND 3+ years.
• 5+ years of experience in developing and deploying large-scale machine learning models.

Culture & Benefits

• Empower every person and organization on the planet to achieve more.
• Growth mindset, innovation, and collaboration to achieve shared goals.
• Culture of inclusion built on values of respect, integrity, and accountability.
• Comprehensive benefits and compensation package available.