Staff Machine Learning Engineer, Shopping Ads

For our client, we are seeking a Staff Machine Learning Engineer Shopping Ads to join the team of a leader in the Media space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a Media environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $230,000 – $322,000 annually

Responsibilities

• Lead ML strategy for Shopping Ads delivery, focusing on engagement and conversion
• Oversee the entire model development process from inception to deployment and monitoring
• Enhance models for low-funnel objectives while ensuring quality user experience
• Develop feature strategies integrating user intent and product catalog signals
• Implement advanced ML approaches, prioritizing measurable benefits over novelty
• Design systems balancing prediction quality and operational efficiency
• Drive initiatives demanding cross-team coordination in the ad delivery ecosystem
• Mentor engineers and help clarify ownership amidst ambiguity

Qualifications

• 7+ years of software or machine learning engineering experience, especially in production ML systems
• Experience in building end-to-end models to enhance advertising and search performance
• Proficient in optimizing conversion and revenue-based metrics
• Hands-on experience with model development and complex feature engineering
• Proven ability to manage initiatives requiring collaboration across multiple teams
• Strong expertise in modern ML applications with demonstrable performance improvements
• Leadership experience in architecture and mentoring in technical settings

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit Programs supporting work-life balance and professional growth
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.