Machine Learning Engineer

<div class="content-intro"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text"> <div class="c-message__message_blocks c-message__message_blocks--rich_text" data-qa="message-text"> <div class="p-block_kit_renderer" data-qa="block-kit-renderer"> <div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"> <div class="p-rich_text_block"> <div class="p-rich_text_section">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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div> </div> </div> </div> </div> </div></div><p data-renderer-start-pos="1"><strong data-renderer-mark="true">Job Duties:</strong> 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. <strong data-renderer-mark="true">Full-time telecommuting is an option.</strong></p> <p data-renderer-start-pos="1014"><strong data-renderer-mark="true">Requirements: </strong>Bachelor’s degree in Computer Science, Engineering (any field) or related quantitative discipline and five (5) years of experience in the job offered or related occupation.<strong data-renderer-mark="true">&nbsp;</strong></p> <p data-renderer-start-pos="1203"><strong data-renderer-mark="true">Special Skill Requirements: </strong>(1) designing, building, and iterating large-scale scalable software systems; (2) designing and building ML recommender systems at high scale; (3) Delivering large and complex systems with significant business impact; (4) Cross-functional collaboration on large-scale projects with complex dependencies across teams; (5) Object-oriented programming (Python, Golang, or Java); (6) Building ML models with PyTorch or TensorFlow; (7) API design and integration with REST, HTTP, Thrift, or gRPC; (8) Working with largescale key-value and NoSQL storage and caching systems (Redis, Cassandra, DynamoDB); (9) Working with large-scale messaging and event-driven systems (Apache Kafka, AWS SQS, SNS, <span class="acronym-highlight">SES</span>); (10) Building workflows using orchestration systems (Kubeflow, Ray, Apache Airflow, AWS Step Functions); (11) Working with large-scale analytics and data warehousing platforms (Google BigQuery, Amazon Redshift); (12) Experience with observability, logging, tracing and monitoring tools such as Prometheus, Grafana, AWS Cloudwatch; (13) Designing, running, and analyzing A/B experiments to measure and optimize system performance</p> <p><strong>Benefits:</strong></p> <ul> <li>Comprehensive Healthcare Benefits and Income Replacement Programs</li> <li>401k with Employer Match</li> <li>Global Benefit programs that fit your lifestyle, from workspace to