Senior Machine Learning Engineer, Ads – Get A Job.ai

About This Opportunity

We are representing a confidential technology platform in their search for a Senior Machine Learning Engineer focused on advertising systems. Our client operates at significant scale, serving hundreds of millions of users monthly, and is building sophisticated ML infrastructure from the ground up.

This is a remote-first opportunity available in Canada, Ireland, and the USA. You'll join a small, close-knit ads ranking team where you'll own problems end-to-end—from research and data pipelines through deployment and maintenance. Your work will directly impact revenue, advertiser value, and user experience.

Responsibilities

• Develop and improve ads ranking models, including CTR and CVR prediction, feature interactions, user-history modeling, and calibration
• Take end-to-end ownership of machine learning systems—data pipelines, feature engineering, training-data construction, model evaluation, training, and production integration
• Evaluate and apply advances in deep learning and recommendation modeling to improve ads ranking within production latency, reliability, and cost constraints
• Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in production
• Partner with product, data science, and engineering teams to define ranking objectives, design A/B experiments, and measure improvements in advertiser performance, revenue, and user relevance
• Identify new opportunities to apply machine learning across the advertising product to drive value

What We're Looking For

Required qualifications:

• 4+ years of professional software development experience in machine learning
• Hands-on experience developing and deploying ads ranking models at scale, including CTR or CVR prediction and calibration, with demonstrated ownership of production improvements
• Experience evaluating ranking models through offline analysis and online experiments, including investigating discrepancies between model metrics and business outcomes
• Experience using AI-assisted development tools for coding, testing, debugging, or data analysis, with sound judgment in validating generated code and conclusions
• Hands-on experience building and deploying deep learning models with PyTorch or TensorFlow
• Strong understanding of mathematical foundations of machine learning algorithms
• Strong Python programming skills and experience writing maintainable production ML code
• BS, MS, or PhD in Computer Science, Engineering, or related technical field
• Availability for meetings and communication during coordination hours (Mon-Fri: 9am-3pm Pacific Time)

Preferred qualifications:

• Experience with modern ranking architectures such as feature interaction networks, attention-based user-sequence models, and multi-task learning
• Understanding of how ranking predictions and calibration interact with bidding and auctions to affect ad delivery and advertiser outcomes
• Experience leading large-scale multi-engineer projects
• Experience addressing ranking challenges such as sparse or delayed conversion labels, sampling and exposure bias, cold-start users, or training-serving inconsistencies
• Experience with generative recommender systems
• Strong communication and leadership skills

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration. We ask that you work exclusively through our process and not contact the client directly, as we manage the relationship and advocate on your behalf throughout the interview process.

Pay

Compensation details will be discussed during the screening process and are competitive based on experience, location, and the client's compensation structure. Benefits include medical/dental/vision coverage, equity, remote work support, paid time off, and additional country-specific benefits.

Get A Job.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.