Architect and lead the development of next-generation, large-scale machine learning techniques.
Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.
Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production.
Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput.
Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit’s key AI-driven systems.
Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing.
Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making. Who You Might Be: 8+ years of
Requirements
With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
The Embedding Machine Learning Platform team is at the forefront of building highly expressive machine learning models that power Reddit’s recommendation systems.
We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit’s ecosystem.
As a Staff Machine Learning Engineer , you will own the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems.
You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production.
This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team’s technical capabilities. What You’ll Do
Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem cutting-edge.
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.
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 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.
The base salary range for this position is: $253,300 — $354,600 USD
Contact
For more information, visit www.redditinc.com .
To learn more, please visit https://www.redditinc.com/careers/ .
Additional details
It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
Our work impacts content discovery, user engagement, and platform growth at a massive scale.
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
This job posting may span more than one career level.
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.
You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
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.