Senior Machine Learning Infrastructure Engineer, Embedding Platform

Reddit, Inc.; San Francisco (CA); On-site; USD 191,000 - 267,000; Full time

Benefits offered by this job

Healthcare Benefits

401k with Employer Match

Global Benefit programs

Family Planning Support

Gender‑Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & Paid VolunteerTime

Generous Paid Parental Leave

Job summary

Reddit, Inc. is seeking a Senior Machine Learning Infrastructure Engineer to own major components end-to-end, building scalable ML platforms for recommendation and personalization.

You will design, train, and deploy end-to-end pipelines, spanning data prep, feature generation, and evaluation, with emphasis on production readiness and performance. You will collaborate with ML platform, product, and cross-functional teams to improve user experience and business impact, advancing model efficiency,

Qualifications

• 5+ years of experience in machine learning engineering, with a strong focus on large-scale ML infrastructure and recommendation or personalization systems.
• Experience building or scaling ML platform for large datasets and high-traffic production environments.
• Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar.

Responsibilities

• 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.

Skills

5+ years ML

Large-scale ML infra

Sequence models

Foundational models

Python

PyTorch

TensorFlow

Distributed training

System design

AB testing

Communication skills

Tools

PyTorch

TensorFlow

Job description

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com.

The LS 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. Our work impacts content discovery, user engagement, and platform growth at a massive scale.

About the Role

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.

Responsibilities

• 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.

Qualifications

• 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.

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.

The base salary range for this position is:

$190,800—$267,100 USD

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.