Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Design and train transformer-based models with billions of parameters for ad ranking, pricing, and optimization across large-scale consumer surfaces with an accent on reasoning over long user histories, rich representations, and heterogeneous events to infer intent and value. Focus on building end-to-end ML systems including data pipelines, multi-task objectives, calibration, and evaluation for robust performance under sparse signals and marketplace shifts.

Sunnyvale, United States. Employees within 50-mile commute expected to work from office at least 4 days per week.

USD $119,800 – $234,700 per year (USD $160,200 – $261,000 in San Francisco Bay area and New York City).

Company

Signals Modeling team at hirify.global powering ad intelligence and monetization.

What you will do

• Drive modeling and data innovations for ad interaction outcome prediction under partial and noisy feedback.
• Build estimated conversion models, attribution pipelines, weak-label generation, and robust learning/calibration methods for sparse or delayed outcomes.
• Design multi-task/proxy-signal models, improve measurement frameworks, and deploy production systems impacting ad ranking, bidding, ROI, and user experience at scale.

Requirements

• Bachelor’s in Statistics, Econometrics, CS, EE/CE or related AND 4+ years experience OR Master’s AND 3+ years OR Doctorate AND 1+ year in statistics, predictive analytics, research (or equivalent).
• Solid hands-on experience with modern ML models, feature engineering, supervised/multi-task learning.
• Experience with large-scale data, end-to-end pipelines (prep, training, validation, deployment).
• Experience with offline evaluation and online A/B experimentation.
• Programming in Python and ML frameworks (PyTorch/TensorFlow).
• Ability to drive projects from definition to production.

Nice to have

• Master’s/Doctorate with 6+/3+ years experience.
• Publications, conference presentations, research experience.
• Production systems deployment experience.
• Work with noisy/weak labels, conversion/attribution modeling.
• Causal inference, model calibration, large-scale ads systems.
• Technical leadership, 4+ years shipping ML models.

Culture & Benefits

• Growth mindset, innovation, collaboration on values of respect, integrity, accountability.
• Inclusive culture where everyone can thrive.
• Additional benefits and compensation eligibility (details on careers site).