Reddit
Principal Machine Learning Engineer - Large Scale Embedding
Reddit, Myrtle Point, Oregon, United States, 97458
Overview
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. The LS Embedding team focuses on building expressive multi-entity large-scale embeddings exploring architectures beyond standard two-tower approaches to enhance our recommendation systems at Reddit. This entails modelling various compound interactions and relationships between users and entities they interact with using Graphs and exploring Graph neural networks and transformers to encode them. We are looking for a Principal Machine Learning Engineer to lead the design and architecture of GNN and transformer-based multi-entity embedding generation, actively participating in end-to-end implementation including enabling efficient distributed training and serving for such architectures shaping the future of recommendation systems at Reddit. If applying ML / AI in production to improve Reddit Relevance excites you, then you’ve found the right place. RESPONSIBILITIES
RESPONSIBILITIES: Lead the team that architects and designs GNN and transformers based multi-entity embedding generation. Define the technical roadmap and plan of execution in collaboration with Xfn partners. Develop and optimize large-scale graph-based machine learning pipelines for recommendation systems. Architect scalable and efficient GNN and transformers-based recommendation models that can process complex, interconnected data structures. Collaborate with cross functional business units such as Ads teams leveraging the models for upstream functions and improve relevance metrics. Collaborate with ML Infrastructure teams to enable distributed GPU based training and online serving architecture. Lead feature engineering efforts to identify and curate expressive raw data to be used for creating embeddings. Be a mentor and cross-functional advocate for the team. Contribute towards team and product strategy, operations and execution at Reddit. QUALIFICATIONS
QUALIFICATIONS: 15+ years of Technical Leadership Experience Proven ability to lead ML initiatives, mentor engineers, and communicate complex concepts to cross-functional teams. Expertise in Graph Neural Networks, collaborative filtering, knowledge graphs, and deep learning for recommendations. Understanding of graph theory, network science, and representation learning technique. Strong coding skills in Python and experience with ML frameworks like PyTorch Geometric (PyG), Deep Graph Library (DGL), TensorFlow, and scikit-learn. Solid understanding of ML infrastructure components and libraries (data parallel, model parallel, pipeline parallel, torch.inductor, model pruning, etc.) enabling efficient distributed training and inference. 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. 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 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. The base pay range for this position is: $276,700 — $387,400 USD In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out 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.
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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. The LS Embedding team focuses on building expressive multi-entity large-scale embeddings exploring architectures beyond standard two-tower approaches to enhance our recommendation systems at Reddit. This entails modelling various compound interactions and relationships between users and entities they interact with using Graphs and exploring Graph neural networks and transformers to encode them. We are looking for a Principal Machine Learning Engineer to lead the design and architecture of GNN and transformer-based multi-entity embedding generation, actively participating in end-to-end implementation including enabling efficient distributed training and serving for such architectures shaping the future of recommendation systems at Reddit. If applying ML / AI in production to improve Reddit Relevance excites you, then you’ve found the right place. RESPONSIBILITIES
RESPONSIBILITIES: Lead the team that architects and designs GNN and transformers based multi-entity embedding generation. Define the technical roadmap and plan of execution in collaboration with Xfn partners. Develop and optimize large-scale graph-based machine learning pipelines for recommendation systems. Architect scalable and efficient GNN and transformers-based recommendation models that can process complex, interconnected data structures. Collaborate with cross functional business units such as Ads teams leveraging the models for upstream functions and improve relevance metrics. Collaborate with ML Infrastructure teams to enable distributed GPU based training and online serving architecture. Lead feature engineering efforts to identify and curate expressive raw data to be used for creating embeddings. Be a mentor and cross-functional advocate for the team. Contribute towards team and product strategy, operations and execution at Reddit. QUALIFICATIONS
QUALIFICATIONS: 15+ years of Technical Leadership Experience Proven ability to lead ML initiatives, mentor engineers, and communicate complex concepts to cross-functional teams. Expertise in Graph Neural Networks, collaborative filtering, knowledge graphs, and deep learning for recommendations. Understanding of graph theory, network science, and representation learning technique. Strong coding skills in Python and experience with ML frameworks like PyTorch Geometric (PyG), Deep Graph Library (DGL), TensorFlow, and scikit-learn. Solid understanding of ML infrastructure components and libraries (data parallel, model parallel, pipeline parallel, torch.inductor, model pruning, etc.) enabling efficient distributed training and inference. 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. 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 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. The base pay range for this position is: $276,700 — $387,400 USD In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out 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.
#J-18808-Ljbffr