Remote ML Engineering Manager for Core Ads Ranking

Ladders; United States; Remote; USD 230,000 - 322,000; Full time

Benefits offered by this job

Comprehensive healthcare benefits and

401(k) with employer match

Global benefit programs that fit your…

Family planning support

Gender-affirming care

Mental health and coaching benefits

Flexible vacation and paid volunteer…

Generous paid parental leave

Job summary

Ladders is seeking a Machine Learning Engineering Manager - Core Ads Ranking to lead a high-impact ML organization focused on ranking quality and user understanding at scale. You will own the roadmap for foundational model work and partner with cross-functional teams to align strategy and execution.

This role blends hands-on technical leadership with people management, ensuring strong model development, deployment, and growth of the team while delivering value across the ads platform.

Qualifications

• 1+ years of management experience leading ML-focused teams.
• 6+ years of experience building and scaling machine learning models.
• 4+ years of hands-on experience with TensorFlow or PyTorch.
• Proven ability in training, evaluating, and deploying large-scale models.
• Experience with foundational models and user understanding.
• Ads experience is a plus.

Responsibilities

• Define and execute a roadmap for foundational model and user understanding.
• Partner with vertical and horizontal teams to align on strategy and priorities.
• Oversee the model development lifecycle from ideation to deployment.
• Recruit, mentor, and retain top ML talent.
• Foster a culture of growth, collaboration, and technical excellence.

Skills

Machine Learning

Team leadership

Model deployment

Strategic planning

Ads experience

Leadership & mentorship

Tools

TensorFlow

PyTorch

Job description

Ladders is seeking a Machine Learning Engineering Manager - Core Ads Ranking to lead a high-impact ML organization focused on ranking quality and user understanding at scale. You will own the roadmap for foundational model work and partner with cross-functional teams to align strategy and execution.

This role blends hands-on technical leadership with people management, ensuring strong model development, deployment, and growth of the team while delivering value across the ads platform.