Machine Learning Engineer III (Advertising Technology)

Location: San Jose, California or Seattle, Washington; hybrid work with at least three days per week in the office. Relocation assistance is not available.

Salary: $157,500–$220,500 in San Jose; $146,000–$204,500 in Seattle.

Company

hirify.global is a global travel company operating consumer travel brands, a B2B travel network, and travel advertising products.

What you will do

• Design and implement scalable batch and real-time ML pipelines for advertising delivery and optimization.
• Deploy and integrate ML models with ad delivery, bidding, ranking, and campaign management systems.
• Build reliable data pipelines for large-scale impressions, clicks, and conversion data.
• Develop reusable APIs, components, and orchestration workflows for experimentation and deployment.
• Enable low-latency inference and real-time decisioning across multiple brands and advertising surfaces.
• Monitor, optimize, and improve the reliability, scalability, and performance of ML-powered ad systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
• 3+ years of industry experience with machine learning or data-driven systems.
• Proficiency in Python and familiarity with PyTorch or TensorFlow.
• Understanding of supervised learning, feature engineering, model evaluation, and bias/variance tradeoffs.
• Experience with large datasets and data pipelines using Spark, SQL, or similar tools.
• Software engineering fundamentals, including version control, testing, system design, and technical collaboration.

Nice to have

• Experience with production ML systems, model training, evaluation, or inference pipelines.
• Familiarity with Spark, Databricks, AWS, and MLOps workflows.
• Experience with ranking, prediction, classification, recommendation, or NLP models.
• Exposure to real-time ML systems and backgrounds in advertising, marketplaces, e-commerce, or travel.

Culture & Benefits

• Flexible hybrid work model with required office attendance.
• Medical, dental, and vision coverage.
• Paid time off and an Employee Assistance Program.
• Wellness and travel reimbursement, travel discounts, and IATAN membership.
• Inclusive and accessible recruiting experience with accommodation support.