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Machine Learning Engineer

External
Reddit logoReddit · San Francisco, CA
Full-timeOn-site1d ago
Feature EngineeringMachine LearningPrompt EngineeringPythonRAGSQL
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Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs401k with Employer MatchGlobal Benefit programs that fit your lifestyle, from workspace to professional development to caregiving supportFamily Planning SupportGender-Affirming CareMental Health & Coaching BenefitsFlexible Vacation & Paid Volunteer Time OffGenerous Paid Parental LeaveSubmit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.77.3.Pay Transparency:This job posting may span more than one career level.To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.The base pay range for this position is: $187,574.00 - $260,100.00 USD#LI-DNIIn select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.Health insuranceDental insuranceVision insurance401(k)Paid time offFlexible scheduleEquity / stock optionsParental leave

Additional Information

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 126 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: 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-to-date with state-of-the-art ML techniques, and contribute to the team's strategy and roadmap. Full-time telecommuting is an option. Requirements: Master's degree in Computer Science, Mathematics, Engineering (any field) or related quantitative discipline and (3) three years of experience in the job offered or related occupation. Special Skill Requirements: 1.) Machine Learning; 2.) TensorFlow; 3.) Python and SQL; 4.) Feature Engineering and Selection; 5.) Ads predictive model design; 6.) Ads predictive model offline training and model evaluation; 7.) Ads predictive model online/serving experiment and analysis; 8.) Ads modeling serving status monitoring and incident mitigation (Oncall); 9.) Distributed Systems; 10.) Prompt Engineering and RAG. Any suitable combination of education, training and/or experience is acceptable. Full time telecommuting is an option.

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