Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Developing state-of-the-art conversion rate (CVR) prediction and market price models that power ad ranking and recommendation systems with an accent on leveraging large-scale behavioral data, creative features, and contextual signals. Focus on improving the relevance and accuracy of predictions to drive higher user engagement and stronger conversion performance.

Location: San Francisco, CA, USA

Salary: $192,600—$288,800 USD

Company

hirify.global is the leading platform to create and grow games and interactive experiences.

What you will do

• Design, implement, and maintain high-performance CTR and CVR prediction models that power ad ranking and recommendation systems.
• Build and refine systems for creative understanding and user behavior modeling, enabling more accurate and context-aware engagement predictions.
• Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
• Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
• Effectively communicate complex technical concepts to non-engineering stakeholders.

Requirements

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
• 7+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
• 3+ years of experience building CTR/CVR systems, content understanding, or behavior modeling systems.
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data analysis.
• Work visa/immigration sponsorship is not available for this position

Nice to have

• Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
• Experience with state-of-the-art control systems, reinforcement learning algorithms.

Culture & Benefits

• Offer a wide range of benefits designed to support employees' well-being and work-life balance.
• Committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.