Senior ML Engineering Manager - Core Ads Ranking (Remote)

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

Benefits offered by this job

Healthcare benefits

401k match

Global benefits

Family planning

Gender-affirming care

Mental health support

Flexible vacation

Parental leave

Job summary

Reddit is seeking an ML Engineering Manager for Core Ads Ranking in the United States. You will lead a team focused on user representation and robust ML pipelines, shaping the foundation of ads ranking across products.

You will set technical vision, mentor engineers, collaborate with cross-functional partners, and drive end-to-end model development from ideation to deployment, focusing on scalability and reliability.

Qualifications

• 1+ years of management experience leading ML-focused teams.
• 6+ years of experience building and scaling machine learning models, and working with state of the art ML models.
• 4+ years of hands-on experience with TensorFlow or PyTorch.
• End-to-End ML Lifecycle Experience: training, evaluating, and deploying large-scale models.
• Experience with foundational models, user or content understanding.
• Experience with Ads is a plus.

Responsibilities

• Set Technical Vision and Strategy: Define and execute a roadmap for foundational model and user understanding.
• Collaborate Cross-Functionally with vertical/horizontal teams to align on direction and priorities.
• Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment.
• Lead and Mentor a High-Performing ML team: recruit, mentor, and retain top ML talent.

Skills

ML management experience

Scaling ML models

TensorFlow or PyTorch

End-to-end ML lifecycle

Foundational models

Ads experience (a plus)

Job description

Reddit is seeking an ML Engineering Manager for Core Ads Ranking in the United States. You will lead a team focused on user representation and robust ML pipelines, shaping the foundation of ads ranking across products.

You will set technical vision, mentor engineers, collaborate with cross-functional partners, and drive end-to-end model development from ideation to deployment, focusing on scalability and reliability.