Staff Machine Learning Engineer, App Ads Modeling

For our client, we are seeking a Staff Machine Learning Engineer, App Ads Modeling to join the team of a leader in the Media space. This role will focus on advancing large-scale machine learning capabilities that improve ad relevance and ranking performance within a high-traffic digital media environment. You will design and train sophisticated models, work closely with product and infrastructure partners to bring solutions into production, and help shape the long-term modeling strategy across multiple areas. The position also calls for mentoring other engineers and establishing best practices that strengthen the team’s overall technical impact. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $230,000 – $322,000 annually Responsibilities Design and train advanced ML models for ad ranking Optimize features such as embeddings and contextual signals Collaborate with product and infrastructure teams for model deployment Mentor junior Machine Learning Engineers and promote best practices Define long-term modeling vision across multiple domains Qualifications 7+ years of industry experience, particularly in applied ML roles Expertise in Deep Learning architectures using frameworks like TensorFlow and PyTorch Experience in recommendation systems or ads ranking Proficiency with large-scale datasets and complex feature pipelines Strong problem-solving and experimental mindset Track record of delivering impactful models in production Benefits 100% remote work option with hybrid opportunities in major cities Comprehensive healthcare and income replacement programs 401k plan with employer match Global benefits supporting professional development and personal needs Family planning and gender-affirming care support Mental health resources and coaching Flexible vacation and 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.