Machine Learning Scientist III, Ads Optimization & Automation (AI)

Location: Boston, Massachusetts, United States

Annual base salary: USD 194,040–206,167.50

Company

hirify.global operates an online home-shopping platform and develops advertising technology that helps advertisers grow their businesses through relevant, performance-oriented ads.

What you will do

• Provide technical leadership for intelligent agentic systems supporting advertising campaign recommendations and optimization.
• Design, build, deploy, and refine reusable large-scale machine learning platforms for ads.
• Develop machine learning solutions with commercial, product, engineering, infrastructure, and platform teams.
• Identify model improvements and estimate the ROI of proposed changes using data-driven analysis.
• Research advertising, sorting, recommendation, and open-source developments and integrate relevant techniques into internal systems.
• Maintain a customer-centric approach while solving high-impact problems for the ads business.

Requirements

• PhD with at least 2 years of experience, MS with at least 4 years of industry experience, or BS in a quantitative STEM field with at least 6 years of experience.
• At least 2 years of experience developing, evaluating, optimizing, and deploying machine learning models for advertising, bidding, recommendations, ranking, or personalization.
• Strong theoretical understanding of agentic systems and large-scale machine learning.
• Proficiency in Python and experience with TensorFlow, PyTorch, or Scikit-Learn.
• Experience with data processing, ML pipeline orchestration, scalable ML systems, and cloud environments such as AWS, GCP, or Azure.
• Ability to design experiments, analyze results with A/B testing and statistical techniques, and communicate complex ML concepts to non-technical stakeholders.

Nice to have

• Experience with Google Cloud machine learning platforms, BigQuery, GCS, Dataproc, or AI Notebooks.
• Experience in advertising or e-commerce economics.
• Hands-on experience with agentic chat-based products deployed to consumers.

Culture & Benefits

• Comprehensive medical, financial, and additional employee benefits.
• Potential equity, bonuses, commissions, and other compensation depending on the position.
• Commitment to equal opportunity and reasonable accommodations for candidates with disabilities.
• Work within a collaborative environment focused on technology, creative problem-solving, and continuous learning.