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>Job Duties:</strong> Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-todate with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap. <strong data-renderer-mark="true">Part-time telecommuting is an option. Hybrid work from Reddit offices in San Francisco, CA.</strong></p> <p data-renderer-start-pos="902"><strong>Requirements:</strong> Master’s degree, or its foreign degree equivalent, in Computer Science, Robotics, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field.</p> <p data-renderer-start-pos="1151"><strong>Special Skill Requirements:</strong> (1) <span class="acronym-highlight">PII</span> Data handling; (2) Kafka Infrastructure; (3) Data governance; (4) Batch data pipeline; (5) SLOs; (6) Graph service; (7) ML models; (8) XGboost; (9) LLM; (10) Google Cloud Platform. Any suitable combination of education, training and experience is acceptable. <strong data-renderer-mark="true">Part-time telecommuting is an option. Hybrid work from Reddit offices in San Francisco, CA.</strong></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 professional development to caregiving support</li> <li>Family Planning Support</li> <li>Gender-Affirming Care</li> <li>Mental Health &amp; Coaching Benefits</li> <li>Flexible Vacation &amp; Paid Volunteer Time Off</li> <li>Generous Paid Parental Leave&nbsp;</li> </ul> <p>Submit a resume with references using the apply button on this posting or by email at:&nbsp;<a class="_2hGPVj98eZ _2i3C1kYbGa _2kH23qT6kp _1ubuxoD6gn _34b3D2vc3e _1NDpvb6wH8 _2wtOC9vc3e _3e11vU6wH8 _0hSAgbHZdu _00uqCYyL8i _3xtjKN0Rl6 _0H9qDF6wH8 _24h04i2Njc _1mT5xdRAKS _0bjKvDcjp5 _0WKd3G4z3T _23rrnHo10F _1UtDYzM7Tp _32C2rkyL8i _0i9AWA0Rl6 _0mm6KQ6wH8 _10n1R5M7Tp _0DCa9Ds4Fm _3932vv0Rl6 _02cRtH6wH8 _1B4rbIo10F _0clgaMM7Tp _3WzCGis4Fm _0NqVRt0Rl6 _3BKYwu6wH8 _3sFUREDdj4 _0CMRbkAwSC _2nTuUYWfPD _3ADzdEWfPD _1warJ9WfPD _4scvAwWyeI" href="mailto:applicationsreview@reddit.com" data-renderer-mark="true" data-is-router-link="fals