Machine Learning Engineer - Ads Pangle - USDS (Advertising)

Location: San Jose, United States; fully in-person schedule up to 5 days a week

Salary: $136,800–$259,200 annually, with potential additional bonuses, incentives, and restricted stock units.

Company

hirify.global operates a data privacy and cybersecurity program focused on protecting U.S. user data, applications, algorithms, and the content ecosystem.

What you will do

• Develop and optimize bidding algorithms and strategies across targeting, retrieval, ranking, and bidding systems.
• Improve large-scale, online-learning deep models for real-time advertising applications.
• Enhance attribution accuracy, ad delivery quality, monetization efficiency, and advertising ROI.
• Design, build, and iterate on CTR and CVR prediction models.
• Identify and drive commercialization technologies and product solutions for Pangle's U.S. advertising platform.

Requirements

• Bachelor's degree in computer science or a related technical discipline.
• At least 1 year of hands-on experience building and training complex, scalable machine learning systems.
• Strong foundations in algorithms, data structures, software design, and problem-solving.
• Strong coding skills and understanding of machine learning algorithms, especially deep learning and ranking models.
• Experience leading or driving machine learning projects.
• Ability to work on-site in San Jose, with an in-person schedule of up to 5 days per week.

Nice to have

• Strong theoretical background in machine learning and deep learning.
• Proficiency with TensorFlow or PyTorch.
• Experience optimizing large-scale advertising systems, bidding algorithms, delivery strategies, or models such as OCPC, OCPM, and AEO.
• Strong teamwork, communication, business, and data intuition.

Culture & Benefits

• Medical, dental, and vision insurance from day one.
• 401(k) savings plan with company match.
• Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
• 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
• Culture centered on curiosity, humility, ownership, resilience, continuous learning, and inclusion.