Senior Software Engineer, Machine Learning

Reddit • San Francisco, CA

1d • Remote

About The Position

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Job Duties: Own end-to-end execution of machine learning-based targeting products including smart targeting expansion, keyword targeting, auto targeting, and user lookalikes. Own offline and online experimentation of machine learning models for improving targeting products to drive advertiser outcomes. Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomes. Drive technical roadmaps and lead day-to-day project execution and contribute meaningfully to team vision and strategy. Work on large scale data systems, backend services, and product integration. Collaborate closely with multiple stakeholders on cross product, engineering, research and marketing. Telecommuting is an option. Some travel to Reddit offices may be required.

Requirements

• Master’s degree (or its foreign equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field Or Bachelor’s degree (or its foreign equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field.
• (1) Python
• (2) PHP
• (3) JavaScript
• (4) Keras
• (5) Django
• (6) TensorFlow
• (7) MySQL
• (8) Redis
• Any suitable combination of education, training and experience is acceptable.

Responsibilities

• Own end-to-end execution of machine learning-based targeting products including smart targeting expansion, keyword targeting, auto targeting, and user lookalikes.
• Own offline and online experimentation of machine learning models for improving targeting products to drive advertiser outcomes.
• Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomes.
• Drive technical roadmaps and lead day-to-day project execution and contribute meaningfully to team vision and strategy.
• Work on large scale data systems, backend services, and product integration.
• Collaborate closely with multiple stakeholders on cross product, engineering, research and marketing.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees