Senior Machine Learning Infrastructure Engineer, Reddit
Embedding Platform
$190.8-267.1k
+ RSUs
Online platform for thoughts, experiences & discussions
Posted today
Online platform for thoughts, experiences & discussions
1001+ employees
Posted today
$190.8-267.1k
+ RSUs
1001+ employees
Company mission
To empower communities, and make their knowledge accessible to all.
Role
Who you are
- 5+ years of experience in machine learning engineering, with a strong focus on large-scale ML infrastructure and recommendation or personalization systems
- Expertise in modern deep learning architectures, including sequence models and foundational models
- Experience building or scaling ML platform for large datasets and high-traffic production environments
- Demonstrated ability to independently scope and execute ambiguous technical work, while owning high-quality implementation details
- Solid understanding of distributed training and inference concepts, such as data parallelism, model parallelism, pipeline parallelism, or related optimization techniques
- Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar
- Strong software engineering fundamentals, including system design, debugging, testing, and performance optimization
- 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
- As a Senior Machine Learning Infrastructure Engineer, you will work across both model development and ML platform to build large-scale learning systems that improve recommendation and personalization on Reddit
- At the senior level, you will own major technical components end to end: designing models, implementing training and evaluation pipelines, and driving production deployment in close partnership with ML platform, product, and cross-functional ML teams
- Design, train, and improve large-scale machine learning platforms for recommendation or personalization systems
- Own and deliver major ML systems components end to end, from problem framing through production rollout
- Build and optimize end-to-end ML pipelines spanning data preparation, feature generation, training, evaluation, and deployment
- Improve distributed training, model efficiency, and online inference performance
- Apply modern modeling approaches including sequence modeling and related foundation-model techniques to Reddit use cases
- Develop reliable serving and monitoring patterns for low-latency, high-throughput production ML systems
- Work with cross-functional partners across product, relevance, ads, and core ML teams to deliver measurable improvements in user experience and business impact
- Drive rigorous offline and online evaluation, including experimentation, model diagnostics, and feedback-loop improvement
- Contribute to engineering quality through strong code, design reviews, documentation, and operational excellence
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 130,000 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 120 million daily users and billions of monthly page views. While these figures are smaller than those of social media giants like Facebook and X, Reddit 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, 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
(CEO & Founder)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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