[Hiring] Machine Learning Engineer @Reddit

Role Description

Design, build, and maintain scalable ML infrastructure to support notification relevance, targeting, ranking, and personalization across channels (e.g. push, email, in-app notifications) for millions of users.

• Architect and implement end-to-end ML pipelines for notifications, including data ingestion, feature computation, model training, evaluation, deployment, and online serving in production environments.
• Collaborate cross-functionally with data scientists, product managers, and engineers across teams to define requirements, align on priorities, and deliver end-to-end notification solutions.
• Lead design and implementation of experimentation frameworks (e.g. A/B testing, multi-armed bandits, or similar methods) to evaluate new notification models, ranking strategies, and targeting policies.
• Mentor and provide technical guidance to engineers, sharing best practices in machine learning engineering, distributed systems, and ML infrastructure design.

Full-time telecommuting is an option.

Qualifications

• Bachelor’s degree in Computer Science, Engineering (any field) or related quantitative discipline.
• Five (5) years of experience in the job offered or related occupation.

Requirements

• Designing, building, and iterating large-scale scalable software systems.
• Designing and building ML recommender systems at high scale.
• Delivering large and complex systems with significant business impact.
• Cross-functional collaboration on large-scale projects with complex dependencies across teams.
• Object-oriented programming (Python, Golang, or Java).
• Building ML models with PyTorch or TensorFlow.
• API design and integration with REST, HTTP, Thrift, or gRPC.
• Working with large-scale key-value and NoSQL storage and caching systems (Redis, Cassandra, DynamoDB).
• Working with large-scale messaging and event-driven systems (Apache Kafka, AWS SQS, SNS, SES).
• Building workflows using orchestration systems (Kubeflow, Ray, Apache Airflow, AWS Step Functions).
• Working with large-scale analytics and data warehousing platforms (Google BigQuery, Amazon Redshift).
• Experience with observability, logging, tracing and monitoring tools such as Prometheus, Grafana, AWS Cloudwatch.
• Designing, running, and analyzing A/B experiments to measure and optimize system performance.

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.