Engineering Manager (Machine Learning)

TL;DR

Engineering Manager (Machine Learning): Leading a team to architect, design, and build ML/AI serving infrastructure for online and offline use cases with an accent on expanding AI serving systems capacity and capabilities. Focus on supporting cross-functional teams, solving complex challenges, and ensuring system reliability.

Location: Remote (U.S.) or Onsite in San Francisco, CA

Salary: $230,000.00 - $322,000.00 USD

Company

hirify.global is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

What you will do

• Lead a team responsible for architecting, designing, and building ML/AI serving infrastructure.
• Build systems to serve Machine Learning / Artificial Intelligence models for online and offline use cases.
• Support cross-functional teams including feeds, search, ads, notifications, and safety.
• Work closely with compute, storage, and transport teams to expand AI serving systems.
• Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
• Build and maintain a diverse team that collaborates across disciplines.

Requirements

• Master’s degree (or foreign equivalent) in Computer Science, Data Science, Engineering, or a closely related quantitative discipline.
• Two (2) years of experience in the job offered or in a related field.
• Work authorization for the U.S. required.
• Experience with Rest API, Unit Testing, Database Management, SQL, and A/B Testing.
• Proficiency in Data Engineering, Data Warehousing, Forecasting, and Modeling.
• Strong background in Machine Learning and Deep Learning.

Culture & Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs covering workspace, professional development, and caregiving support.
• Family Planning Support, Gender-Affirming Care, and Mental Health & Coaching Benefits.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.
• Opportunity to opt out of AI recording, transcription, and summarization during interviews.