S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Machine Learning Engineer - Relevance & Learning Systems
XX
Senior Machine Learning Systems EngineerReddit • New York, New York, United States
Postuler Maintenant
XX

Senior Machine Learning Systems Engineer

Reddit
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Senior Machine Learning Systems Engineer Remote - United States 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 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Who We Are The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more. Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration. Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment. Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more. Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges. Who You Might Be 5+ years of experience in ML infrastructure, including model training and model deployments. Hands‑on experience with ML optimization, including memory and GPU profiling. Deep experience with cloud‑based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure‑as‑code (Terraform), and more. Hands‑on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb). Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, TensorFlow, etc. Deep experience working with distributed training frameworks, including Ray and Kubernetes. Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle. Strong organizational & communication skills. Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus. Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus. 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. Base salary range for this position is: $216,700 - $303,400 USD. During the interview, we will provide options regarding recording, transcription, and summarization by artificial intelligence. You may opt out prior to any scheduled interviews. Candidate privacy: we will collect identifiers, professional and employment‑related information, sensory information (audio/video recording), and any other categories of personal information you choose to share. We will not sell your personal information or disclose it for marketing purposes. Recordings will be deleted promptly after a hiring decision is made. Benefits We offer a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) with employer match, generous time off for vacation, and parental leave. Equal Employment Opportunity 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. Reddit U.S. Equal Employment Information Reddit’s employees must represent communities and redditors on our platform. Our vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.
#J-18808-Ljbffr
  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.

10'000+ offres d'emploi : Trouvez des postes près de chez vous, sur site, hybrides ou à distance