Ads Conversion Modeling, Machine Learning Engineering Manager

About This Opportunity

We are representing a confidential social media platform seeking an Ads Conversion Modeling, Machine Learning Engineering Manager to lead a critical team focused on predictive modeling for advertising conversions. This remote-friendly role is open to candidates anywhere in the United States.

Our client's lower funnel advertising business is experiencing rapid growth, and advancing their conversion prediction models is essential to sustaining momentum. The team you'll lead develops and maintains machine learning systems that predict user actions including purchases, signups, cart additions, and other high-value behaviors driven by digital advertising.

As the platform expands its ML infrastructure and integrates new engagement signals, they need a technical leader who can balance deep machine learning expertise with strategic vision and cross-functional collaboration.

Responsibilities

• Set the technical vision and strategic direction for conversion modeling, balancing innovative approaches with business objectives
• Define and execute a comprehensive roadmap for the conversion modeling team
• Oversee the complete model development lifecycle from ideation through production deployment, ensuring high standards of ML performance and robustness
• Lead, mentor, and grow a high-performing team of machine learning engineers, fostering a culture of technical excellence and collaboration
• Recruit and retain top ML talent while providing technical mentorship and career development
• Partner closely with product managers, data scientists, and engineering teams across the ads organization to align on strategies, data requirements, and model KPIs
• Innovate in ML architecture by implementing and optimizing model designs tailored to conversion prediction using deep learning and advanced techniques
• Navigate interactions between ranking models and the broader ads ecosystem including bidding, auction, and retrieval systems
• Develop scalable, well-designed AI solutions that deliver measurable business impact

What We're Looking For

Required Qualifications:

• At least 2+ years building and managing high-performing machine learning teams, ideally in the ads domain (will also consider strong tech lead experience)
• Deep hands-on experience working with machine learning models and deploying them in large-scale production systems
• Proven expertise in training, evaluating, and deploying large-scale ML models
• Direct experience with ads conversion modeling, ranking systems (heavy ranker experience), and recommendation systems
• Expertise architecting and implementing deep learning models for ranking, recommendation, or conversion use cases
• Proficiency with mainstream ML frameworks such as TensorFlow or PyTorch
• Experience orchestrating large-scale data generation and processing pipelines
• Understanding of how ranking models interact with ads systems including bidding, auction, and retrieval components
• Strategic thinking ability with a track record of developing and communicating clear technical strategies aligned with business objectives
• Exceptional communication and collaboration skills, with ability to effectively explain complex technical concepts to diverse audiences
• Impact-driven mindset focused on delivering business value through responsible AI solutions

Preferred:

• Additional specialized experience in ads conversion modeling
• Background in engagement prediction models within the advertising domain

How We Work With You

As a Get A Job.ai candidate, you will apply directly through our platform. Our talent team will conduct an initial screening to understand your background and fit for this opportunity. Once we've confirmed alignment, we will submit your profile to our client for consideration. Please do not attempt to contact the client directly, as all communication should flow through Get A Job.ai to ensure a coordinated process.

Pay

Pay details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to fair and equitable recruiting practices. We evaluate all candidates based on qualifications and merit, and we welcome applicants from all backgrounds to apply.