Senior Machine Learning Engineer, LS Embedding

2 Months ago • 5 Years + • Research Development • $216,700 PA - $303,400 PA

Job Summary

Job Description

The Senior Machine Learning Engineer will design, develop, and optimize graph-based ML models for large-scale recommendation systems. The role involves working on embedding generation, distributed training, and scalable serving architectures to improve Reddit’s AI-powered personalization. Collaboration with cross-functional teams is crucial for integrating embeddings into various systems, along with feature engineering, model monitoring, and staying updated with the latest research in the field. The engineer will also participate in code reviews and mentor junior engineers.
Must have:
  • 5+ years of experience in machine learning engineering.
  • Experience with Graph Neural Networks and embeddings.
  • Proficiency in Python and ML frameworks.
  • Strong understanding of graph theory and network science.
  • Experience with distributed training and inference systems.
  • Ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
Perks:
  • Comprehensive Healthcare Benefits
  • 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

Job Details

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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com. ### About the Team The LS Embedding team focuses on developing highly expressive, multi-entity embeddings to enhance Reddit’s recommendation systems. We go beyond standard two-tower architectures, leveraging graph-based modeling, Graph Neural Networks (GNNs), and transformer-based architectures to capture complex interactions between users and entities. Our work directly impacts personalization and relevance across Reddit’s platform. ### About the Role We are seeking a Senior Machine Learning Engineer to design, develop, and optimize graph-based ML models for large-scale recommendation systems. You will work on embedding generation, distributed training, and scalable serving architectures, playing a key role in improving Reddit’s AI-powered personalization. This role offers the opportunity to contribute to cutting-edge ML research and apply it at scale in a high-impact production environment. ### Responsibilities * Design and implement scalable, high-performance machine learning models using Graph Neural Networks (GNNs), transformers, and knowledge graph approaches. * Develop and optimize large-scale embedding generation pipelines for Reddit’s recommendation systems. * Collaborate with ML infrastructure teams to enable efficient distributed training (multi-GPU, model/data parallelism) and low-latency serving. * Work closely with cross-functional teams (Ads, Feed Ranking, Content Understanding) to integrate embeddings into various personalization and ranking systems. * Drive feature engineering efforts, identifying and curating expressive raw data to enhance model effectiveness. * Monitor, evaluate, and improve model performance using A/B testing, offline metrics, and real-time feedback loops. * Stay up-to-date with the latest research in GNNs, transformers, and representation learning, bringing new ideas into production. * Participate in code reviews, mentor junior engineers, and contribute to technical decision-making. ### Qualifications * 5+ years of experience in machine learning engineering, with a strong focus on recommendation systems, representation learning, and deep learning. * Hands-on experience with Graph Neural Networks (GNNs), collaborative filtering, and large-scale embeddings. * Proficiency in Python and experience with ML frameworks such as PyTorch Geometric (PyG), Deep Graph Library (DGL), TensorFlow, or JAX. * Strong understanding of graph theory, network science, and representation learning techniques. * Experience building distributed training and inference systems using ML infrastructure components (data parallelism, model pruning, inference optimization, etc.). * Ability to work in a fast-paced environment, balancing innovation with high-quality production deployment. * Strong communication skills and the ability to collaborate cross-functionally with engineers, researchers, and product teams. ### 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 **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 pay 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.

Similar Jobs

extreme network - HR Business System Analyst (Global)

extreme network

North Carolina, United States (Remote)
9 Months ago
Rockstar Games - Development Support: Game Live Operations

Rockstar Games

Edinburgh, Scotland, United Kingdom (On-Site)
1 Month ago
Temperature Pro - Data Entry

Temperature Pro

Jacksonville, Florida, United States (On-Site)
2 Months ago
SimpliSafe - People Operations Specialist

SimpliSafe

Boston, Massachusetts, United States (Hybrid)
1 Month ago
WebTech Corporation - Director, Tax Accounting

WebTech Corporation

Pittsburgh, Pennsylvania, United States (On-Site)
2 Months ago
Toast - Staff Machine Learning Engineer - Voice AI

Toast

United States (Remote)
1 Month ago
Apple - AIML - Staff Machine Learning Engineer - Reinforcement Learning

Apple

Santa Clara, California, United States (On-Site)
1 Month ago
Ansys - R&D Engineer II (Solid Mechanics/ HPC)

Ansys

Canonsburg, Pennsylvania, United States (On-Site)
1 Month ago
ZeniMax Media - Senior AI Programmer

ZeniMax Media

Rockville, Maryland, United States (On-Site)
1 Year ago
Microsoft - Member of Technical Staff, AI Data

Microsoft

London, England, United Kingdom (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Tesla - Parts Manager Germany

Tesla

Berlin, Berlin, Germany (On-Site)
5 Months ago
Qualcomm - AI SDK Software Engineer

Qualcomm

Shanghai, China (On-Site)
2 Months ago
kaizen gaming  - Money Laundering Reporting Officer

kaizen gaming

Toronto, Ontario, Canada (Hybrid)
1 Month ago
Keywords Studios - Senior Business Development Manager

Keywords Studios

Spain (Remote)
3 Months ago
GlobalStep - Chief Technology Officer

GlobalStep

Pune, Maharashtra, India (On-Site)
1 Month ago
Thales - Product Owner with French

Thales

Bucharest, Bucharest, Romania (Hybrid)
1 Month ago
PwC - External Audit Manager

PwC

Makati City, Metro Manila, Philippines (On-Site)
9 Months ago
annapurna interactive - Senior Producer

annapurna interactive

(Remote)
2 Months ago
Nice - AI Business Consultant

Nice

London, England, United Kingdom (Hybrid)
1 Month ago
Netflix - Creative Strategist, Product Discovery & Promotion - SEA

Netflix

Bangkok, Bangkok, Thailand (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

Jobs in United States

SBM Management - Custodial Lead

SBM Management

Franklin Park, Illinois, United States (On-Site)
3 Months ago
Light Speed Studios - Senior Content Designer

Light Speed Studios

California, United States (On-Site)
3 Months ago
AeroSpike - Principal HR Business Partner

AeroSpike

Mountain View, California, United States (Hybrid)
1 Month ago
singularity 6 - Publishing Application Drop Box

singularity 6

Los Angeles, California, United States (Hybrid)
2 Years ago
Blue wire software - Assistant Manager

Blue wire software

Bethlehem, Pennsylvania, United States (On-Site)
3 Weeks ago
HCL Tech - Senior Design Lead

HCL Tech

Massachusetts, United States (On-Site)
1 Month ago
Perplexity - Growth Manager - Students

Perplexity

San Francisco, California, United States (On-Site)
2 Months ago
OKX - Director, Control & Issue Management

OKX

San Francisco, California, United States (On-Site)
1 Month ago
bytedance - Software Engineer, Distributed Storage System

bytedance

Seattle, Washington, United States (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

Research Development Jobs

Autodesk - Senior Research & Design Engineer

Autodesk

Boston, Massachusetts, United States (On-Site)
1 Month ago
Apple - Machine Learning Applied Research Scientist

Apple

Cupertino, California, United States (On-Site)
2 Months ago
Unity - Principal Machine Learning Engineer

Unity

San Francisco, California, United States (On-Site)
2 Weeks ago
Scale AI - Machine Learning Engineer

Scale AI

San Francisco, California, United States (On-Site)
2 Months ago
Capgemini - Kore.AI Lead/Architect

Capgemini

Noida, Uttar Pradesh, India (On-Site)
2 Months ago
Sigma Software - Researcher

Sigma Software

Ukraine (Remote)
3 Weeks ago
Google - Student Researcher, PhD, Winter/Summer 2025

Google

(On-Site)
8 Months ago
bytedance - Software Engineer - Applied Machine Learning, Engine

bytedance

San Jose, California, United States (On-Site)
3 Months ago
Playtika - R&D Director

Playtika

Poland (Hybrid)
5 Months ago
bytedance - Engineering Manager Machine Learning Infrastructure

bytedance

Seattle, Washington, United States (On-Site)
8 Months ago

Get notifed when new similar jobs are uploaded

About The Company

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

View All Jobs

Get notified when new jobs are added by Reddit

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug