Senior Machine Learning Engineer, Core Experience and Growth

The Growth organization at Reddit connects users to their communities and creates engaging loops to encourage them to keep coming back. The team is a central part of our product and ensures that new users in our platform have a meaningful experience. We drive company-level impact and we push forward the cutting edge of engineering, using tools such as ML and LLMs, to drive sustainable user growth across our markets.

We are seeking a Senior Machine Learning Engineer to join the Growth team responsible for building users’ very first experiences on Reddit–the onboarding flow, first and early feeds, and notifications. This is a high impact role where you will own projects from ideation to production, working with our super-talented cross-functional team. You'll closely collaborate with product and design stakeholders, and be responsible for the engineering architecture and execution of key product features. You will also identify opportunities to use, configure, and deploy ML models and/or LLMs to create or improve product features. You will provide technical direction to junior engineers.

Fully remote within US or Canada

What You’ll Do:

• Use ML and/or LLMs to personalize first and early user experiences on Reddit.
• Build systems for real-time feature fetching and model inference.
• Build systems for recurring training of models using modern architectures (deep learning, transformers or other sequential models).
• Work closely with ML Platform teams to provide feedback on and improve Reddit’s ML infrastructure.
• Work with Product and Design partners to identify user problems, and design solutions to these problems using ML and/or LLMs.
• Contribute meaningfully to our team’s strategy. We give everyone a seat at the table and encourage active participation in planning our future. Don’t just come along for the ride.
• Participate in product reviews and team meetings, providing technical insight. Help scope, estimate, and prioritize between conflicting needs.
• Foster a healthy engineering culture and collaborate with other engineers.

Who You Might Be:

• 5+ years of experience building deep learning models using mainstream ML frameworks (TensorFlow, PyTorch).
• 5+ years of experience training, evaluating, testing, and deploying industry-level models.
• 5+ years of experience orchestrating data generation pipelines on large-scale datasets.
• Successful track record of applying machine learning techniques to real-world problems.
• Fluent in data analysis and SQL.
• First-hand familiarity with AB testing using an experimentation platform.
• Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences.
• Experience writing production-quality software (preferred Python or Go).
• Experience with content recommendations and personalization is a plus.
• Passionate about building delightful products for users.
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule.
• Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity.
• BS degree in Computer Science, a similar technical field of study or equivalent practical experience.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days off
• Generous paid Parental Leave  
• Paid Volunteer time off

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.