Tbwa Chiat/Day Inc
Senior Machine Learning Engineer
Tbwa Chiat/Day Inc, San Francisco, California, United States, 94199
Senior Machine Learning Engineer, Growth ML
Remote - United StatesReddit 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 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.Reddit is looking for a
Machine Learning Engineer
to join the Growth ML team. The Growth ML team focuses on enhancing the user journey from top-of-funnel acquisition to personalized onboarding, helping users discover and engage with relevant content. We’re looking for a candidate with a strong background in recommendation systems/ranking/deep learning, who is eager to tackle complex, ambiguous problems and build solutions from the ground up. You will collaborate closely with stakeholders across the Growth organization.This is a high-impact role where you’ll shape both the technical and product strategy, influencing operations, architecture, and execution for one of the largest platforms in the world. You will have the opportunity to make a significant impact by driving key metrics like daily active users (DAU) and improving user retention, playing a critical role in Reddit’s growth and long-term success.How You'll Have Impact
You will own projects from ideation to production, not just make small incremental gains on enterprise systems. You’ll work with a talented, diverse, cross-functional team to solve important problems in order to create experiences that users will love. We are a team of builders that value impact, personal growth, openness, and kindness.Responsibilities:
Collaborate with other engineers to improve the recommendation systems and models that power personalization and discovery.Train, evaluate, and deploy sophisticated machine learning models to improve experiences for millions of users.Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze, and iterate.Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges.Work with large-scale data, models, pipelines, and product integration.Candidate Qualifications:
5+ years of professional, hands-on experience as a Machine Learning Engineer working with data-intensive systems and building production-quality software (preferably in Python or Golang).Experience with recommendation systems AND/OR ranking algorithms AND/OR deep learning models.Strong theoretical knowledge of machine learning and statistical concepts, including feature engineering, model training, and evaluation.Proven experience with large-scale data processing technologies (e.g., Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis).Proficiency in SQL and the ability to derive insights from large datasets.Excellent communication and teamwork skills, with the ability to collaborate effectively across teams.Experience with stream processing platforms like Kafka, Flink, and KSQL is a plus.Reddit has a flexible first workforce! If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the United States or Canada.Benefits:
401k MatchingWorkspace benefits for your home officeFamily Planning SupportFlexible Vacation (please use them!) & Reddit Global Wellness DaysPaid Volunteer time offPay Transparency:This job posting may span more than one career level.In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.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. Final offer amounts are determined by multiple factors including skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below.The base pay range for this position is:$216,700 - $303,400 USDReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at
ApplicationAssistance@Reddit.com .Apply for this job#J-18808-Ljbffr
Remote - United StatesReddit 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 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.Reddit is looking for a
Machine Learning Engineer
to join the Growth ML team. The Growth ML team focuses on enhancing the user journey from top-of-funnel acquisition to personalized onboarding, helping users discover and engage with relevant content. We’re looking for a candidate with a strong background in recommendation systems/ranking/deep learning, who is eager to tackle complex, ambiguous problems and build solutions from the ground up. You will collaborate closely with stakeholders across the Growth organization.This is a high-impact role where you’ll shape both the technical and product strategy, influencing operations, architecture, and execution for one of the largest platforms in the world. You will have the opportunity to make a significant impact by driving key metrics like daily active users (DAU) and improving user retention, playing a critical role in Reddit’s growth and long-term success.How You'll Have Impact
You will own projects from ideation to production, not just make small incremental gains on enterprise systems. You’ll work with a talented, diverse, cross-functional team to solve important problems in order to create experiences that users will love. We are a team of builders that value impact, personal growth, openness, and kindness.Responsibilities:
Collaborate with other engineers to improve the recommendation systems and models that power personalization and discovery.Train, evaluate, and deploy sophisticated machine learning models to improve experiences for millions of users.Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze, and iterate.Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges.Work with large-scale data, models, pipelines, and product integration.Candidate Qualifications:
5+ years of professional, hands-on experience as a Machine Learning Engineer working with data-intensive systems and building production-quality software (preferably in Python or Golang).Experience with recommendation systems AND/OR ranking algorithms AND/OR deep learning models.Strong theoretical knowledge of machine learning and statistical concepts, including feature engineering, model training, and evaluation.Proven experience with large-scale data processing technologies (e.g., Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis).Proficiency in SQL and the ability to derive insights from large datasets.Excellent communication and teamwork skills, with the ability to collaborate effectively across teams.Experience with stream processing platforms like Kafka, Flink, and KSQL is a plus.Reddit has a flexible first workforce! If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the United States or Canada.Benefits:
401k MatchingWorkspace benefits for your home officeFamily Planning SupportFlexible Vacation (please use them!) & Reddit Global Wellness DaysPaid Volunteer time offPay Transparency:This job posting may span more than one career level.In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.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. Final offer amounts are determined by multiple factors including skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below.The base pay range for this position is:$216,700 - $303,400 USDReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at
ApplicationAssistance@Reddit.com .Apply for this job#J-18808-Ljbffr