TL;DR

Senior Machine Learning Manager (Ads Content Understanding): Lead and build a world-class team to develop advanced ML-driven content understanding systems for %hirify_global%'s Ads Monetization platform with an accent on knowledge graph, contextual signals, and marketplace efficiency. Focus on managing ML-heavy engineering teams, driving data-informed decisions, and collaborating cross-functionally to deliver unique business intelligence insights.

Location: Remote within the United States, preferably near SF Bay Area or NYC offices

Salary: $266,000 - $372,400 USD

Company

%hirify_global% is a large online community platform hosting over 100,000 active communities and 116 million daily active users, focusing on authentic conversations and content.

What you will do

Lead, coach, and hire a team of ML engineers, software engineers, and data experts across US and EU.
Define and execute a roadmap for commercial content understanding capabilities to enhance Ads Monetization and business intelligence.
Promote a culture of data-informed decision making with efficient processes and transparency.
Coordinate collaboration between different content understanding platforms and consolidate signals.
Raise standards in modeling and exploration phases within content understanding.
Work closely with cross-functional leaders to translate business needs into technical directions.

Requirements

Must be based in the United States or able to work remotely within US time zones (Pacific or Eastern preferred).
8+ years industry experience as SWE, DSM, or MLE; 6+ years managing engineers; 2+ years managing MLEs.
Proficiency in at least two programming languages such as Python, Go, Java, or C++.
Experience with message queuing, data processing frameworks, key-value/document databases, container orchestration, and ML Ops.
Excellent communication skills to collaborate with product managers, data scientists, and stakeholders.

Nice to have

Experience managing ML-heavy engineering teams.
Experience with Ads and natural language understanding.
Scientific contributions in NLP and content understanding.
Experience with large language models in multimodal content understanding.

Culture & Benefits

Comprehensive healthcare benefits and 401k matching.
Home office workspace support and personal/professional development funds.
Flexible vacation policy and global wellness days.
Paid parental leave and volunteer time off.