Machine Learning Engineer, Ads
Remote - United StatesFull-TimeMid-levelAI / Data Science
Intro
- Reddit has a flexible 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 in any country in which we have a physical presence.We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one!
Responsibilities
- 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.
Required Qualifications
- At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.
- Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices.
- Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms.
- Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.
- Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems.
Bonus Points
- Experience working in the Ads domain
- Experience or interest in the advertising business and understanding customer needs
- An advanced degree (MS/PhD) in a quantitative field.
- Familiarity with distributed systems and large-scale data processing technologies (e.g., Spark, Kafka).
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
Pay 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 learn more, please visit https://www.redditinc.com/careers/.
- To provide greater transparency to candidates, we share base salary 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.
- In 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.
- During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
- Reddit 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, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
