Machine Learning Manager, Notifications Relevance

🕒 April 23

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Lead the team that architects and designs notifications relevance at Reddit. • Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking. • Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement. • Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy. • Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges. • Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals. • Communicate your team’s work and set expectations with cross-functional stakeholders. • Help your engineers identify career goals and create development plans to achieve them. • Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.

🎯 Requirements

• 2+ years of experience building and managing engineering teams. • 5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems. • Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production. • Hands-on experience working with deep learning models, sequential features and real-time systems. • Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar. • Familiarity with reinforcement learning or multi-objective optimization in recommendation systems. • Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments. • Able to communicate and discuss complex topics with technical and non-technical audiences. • Able to tackle ambiguous and undefined problems

🏖️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave