Software Engineer III, 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: Building industrial-level models for critical ML tasks with advanced modeling techniques. Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures. Systematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various Feature Engineering technologies such as aggregation, embedding, sub-models, etc. Model architecture engineering via exploring different state-of-the-art model architectures such as Multi-task learning, Attention Layer. Build efficient ML infrastructure and tools such as auto ML flows and batch feature engineering framework, to accelerate ML dev cycle. Telecommuting is an option.

Requirements

• Master's degree (or its foreign degree equivalent) in Business Analytics, 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.
• Machine Learning framework (Tensorflow, PyTorch)
• Deep Learning
• Natural Language Processing (LLM, BERT)
• Recommender Systems
• Data Pipelines and ETL (SQL, Apache Spark, Apache Kafka)
• ElasticSearch
• Redis
• Airflow
• Kubernetes and Docker
• Jenkins
• Cloud Platform (GCP, AWS)
• Any suitable combination of education, training and/or experience is acceptable.

Responsibilities

• Building industrial-level models for critical ML tasks with advanced modeling techniques.
• Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures.
• Systematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various Feature Engineering technologies such as aggregation, embedding, sub-models, etc.
• Model architecture engineering via exploring different state-of-the-art model architectures such as Multi-task learning, Attention Layer.
• Build efficient ML infrastructure and tools such as auto ML flows and batch feature engineering framework, to accelerate ML dev cycle.

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