Engineering Manager, Safety ML at Scale

United States Digital Space LLC; San Francisco (CA); On-site; USD 272,000 - 306,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

United States Digital Space LLC is seeking a hands-on Engineering Manager to lead our Safety ML team. You will own the detection systems that sit between attackers and users, shipping real-time and batch models for content understanding, account integrity, and platform abuse.

You will hire, coach, and guide engineers, driving technical vision and collaborating across Trust & Safety, Product, Policy, Legal, and Data Science to deliver measurable impact at scale.

Qualifications

• You have 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist.
• You have 3+ years of experience as an Engineering Manager and successfully managed a team of 5+ engineers.
• You have hands-on depth in at least one of: abuse/fraud detection, content classification, behavioral modeling, graph-based modeling, or LLM-based classification systems.
• You have strong communication skills and cross-functional collaboration abilities.
• You thrive in ambiguous environments and deliver pragmatic solutions.
• You have a proven record of shipping ML systems to production at scale.

Responsibilities

• Build and lead an exceptional team of highly-engaged ML engineers by hiring, coaching, and instilling ownership and impact.
• Drive the technical vision and roadmap for Safety ML with Trust & Safety, Product, Policy, Legal, and Data Science partners.
• Own the end-to-end lifecycle of production safety models: define capabilities, measure performance, monitor operational health.
• Lead processes to continually raise the bar and deliver extraordinary results.
• Collaborate with Trust & Safety on label quality, golden sets, and automating manual investigations.
• Work with other Engineering Managers to improve the Engineering organization and workplace culture.

Skills

ML Engineering

Engineering Management

Abuse/Fraud Detection

Content Classification

Leadership & Mentoring

Job description

United States Digital Space LLC is seeking a hands-on Engineering Manager to lead our Safety ML team. You will own the detection systems that sit between attackers and users, shipping real-time and batch models for content understanding, account integrity, and platform abuse.

You will hire, coach, and guide engineers, driving technical vision and collaborating across Trust & Safety, Product, Policy, Legal, and Data Science to deliver measurable impact at scale.