Staff Machine Learning Engineer, Reddit
Embeddings Platform
$253.3-354.6k
+ equity
Online platform for thoughts, experiences and discussions
Be an early applicant
Online platform for thoughts, experiences and discussions
1001+ employees
Be an early applicant
$253.3-354.6k
+ equity
1001+ employees
Company mission
To empower communities, and make their knowledge accessible to all.
Role
Who you are
- 8+ years of experience in machine learning engineering, with a strong focus on large-scale ML systems and recommendation or personalization systems
- Expertise in modern deep learning architectures, including sequence models and foundational models
- Deep understanding of complex multi-entity relationships in machine learning applications and how they are modeled in large-scale systems
- Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference
- Strong software engineering skills in Python, C++, or similar languages, with experience in ML infrastructure, high-performance computing, and cloud-based ML pipelines
- Demonstrated leadership in driving ML strategy, mentoring engineers, and influencing cross-functional teams
- Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems
- Excellent communication skills, with the ability to effectively present complex ML concepts to technical and non-technical stakeholders
What the job involves
- The LS Embedding Machine Learning 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. Our work impacts content discovery, user engagement, and platform growth at a massive scale
- 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
- 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
- Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments
- 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
- Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem cutting-edge
- Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making
Our take
Reddits is an online platform that hosts thousands of message board communities (known as subreddits) designed to foster authentic human connection. With more than 100,000 communities covering everything from food, entertainment, and sports to niche interests for highly specific audiences, there's virtually a space for everyone.
The platform attracts over 52M daily users and more than 50B monthly page views. While these figures are smaller than those of social media giants like Facebook and X, Reddits stands out by offering easily discoverable communities where users can dive deep into virtually any topic imaginable.
Today, Reddit continues to grow its user base and expand its reach, remaining a unique hub for conversation,m connection, and shared interests. With its strong community-driven model and steady revenue streams, it's most definitely positioned to stay a central part of online culture for years to come.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
57% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2021
$410m
SERIES F
Feb 2021
$250m
SERIES E
Total funding: $1.2bn
Company benefits
- Comprehensive health benefits
- Flexible vacation & Reddit global days off
- Family planning funds & 4+ months paid parental leave
- Personal & professional development funds
- Paid volunteer time off
- Workspace & home office benefits
Company HQ
SoMa, San Francisco, CA
Leadership
Steve Huffman
(Co-Founder & CEO)After co-founding Reddit in 2005, they stepped away from the company to co-found Hipmunk, where they were the CTO for 5 years. They returned to Reddit in 2015, and have been the CEO since.
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