Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI/ML): Building and optimizing transformer-based models for ad ranking and outcome prediction with an accent on large-scale data pipelines and noisy feedback signals. Focus on developing robust learning and calibration methods to infer user intent and advertiser value.

Location: Must be based in Sunnyvale, United States (Expected to work from the office at least four days per week)

Salary: $158,400 – $258,000 per year

Company

hirify.global AI focuses on empowering every person and organization on the planet through cutting-edge AI research and production-grade ML systems.

What you will do

• Drive modeling and data innovations for ad interaction outcome prediction under partial and noisy feedback.
• Build estimated conversion models and design data-driven attribution and weak-label generation pipelines.
• Develop robust learning and calibration methods for scenarios where true user outcomes are sparse or delayed.
• Design and evaluate multi-task and proxy-signal models to improve offline and online measurement frameworks.
• Translate modeling advances into production-ready systems that impact ad ranking, bidding, and advertiser ROI.

Requirements

• Degree in Statistics, Computer Science, Electrical/Computer Engineering, or related field (PhD + 1yr, Master's + 3yrs, or Bachelor's + 4yrs experience).
• Must be based in or within a 50-mile commute of the Sunnyvale office.
• Strong programming skills in Python and proficiency in PyTorch or TensorFlow.
• Experience building and shipping machine learning models in production environments.
• Solid understanding of supervised learning, multi-task learning, and feature engineering.
• Practical experience with large-scale data pipelines and A/B experimentation.

Nice to have

• Experience working with noisy, weak, or proxy labels from indirect user behavior.
• Background in causal inference, attribution, or counterfactual evaluation.
• Track record of peer-reviewed academic papers, patents, or speaking at industry conferences.
• Experience with large-scale online marketplaces or recommendation systems.

Culture & Benefits

• Environment based on a growth mindset, respect, integrity, and accountability.
• Culture of inclusion and innovation.
• Opportunity to work on one of the world's largest ads ecosystems.
• Focus on professional growth and creating a thriving workplace.