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Meta Reality Lab’s Codec Avatar Research team is building technology to enable immersive, photorealistic social presence. Codec Avatars are real-time live-drivable representations that match the appearance of their users. As part of the Lab’s Instant Codec Avatar group, you’ll work to scale up Codec Avatar technology by modeling the diversity of human appearance and applying that model to the process of rapidly generating new avatars.This role is focused on our Large Scale Experimentation work, which both supports our new Research Supercluster compute resource and uses that resource to run large-scale machine learning experiments that advance the state-of-the-art in Codec Avatar technology. In this role, you will join a team of software engineers, research engineers, and research scientists to deliver software systems needed to support large scale model training over thousands of GPUs. These systems ingest, store, and serve some of the largest ML training datasets in the world, and coordinate complex workflows composed from a mixture of traditional graphics and ML algorithms. You’ll also design, execute, and analyze research experiments using those workflows to advance our understanding of how appearance modeling scales over large populations.
Codec Avatars Large Scale Experimentation Research Engineer Responsibilities: Develop and debug machine learning workflows on a large multi-node cluster.Automation of data ingress into clusterImplement compute allocation policy for the clusterDefine and implement strategy for compute environment management and deploymentDefine and communicate cluster software requirements, based on research needsEnabling adoption of the cluster by additional research casesDefinition, design and implementation of automated testingPoint of contact for hardware & software questions regarding cluster capabilitiesReporting on progress, presenting technical risks, challenges and status to executive management.Partner with Data Collection and Asset Generation teams to specify and ingest assets required for large scale training.Partner with Codec Avatars Universal Avatar Research team to support large scale experimentation based on python workflows.Partner with Research SuperCluster production engineering team to support reliable operation.Partner with Research SuperCluster storage engineering team to support development of features required for Codec Avatars datasetsPartner with security, privacy, and policy teams to ensure workflow compliance with company policy.Minimum Qualifications:Experience developing and debugging distributed systemsBachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Effective communication skills, including experience driving decision makingQuantitative reasoning skills to analyze trade offs of different hardware and software solutionsMasters or higher degree in Computer Science or related technical field, or equivalent experience.Experience working with cross functional teams including hardware, software, network, legal, privacy and securityPython experienceProven Linux/shell scripting development experienceExperience developing reliable multi-stage data pipelinesPreferred Qualifications:Experience with containers (Docker or similar)8+ years of experienceExperience developing or applying computer graphics algorithms5+ years of experience developing workflows for large scale AI trainingExperience developing or applying computer vision algorithmsExperience operating in a self-directed environment with multiple stakeholders across multiple teamsUnderstanding of deep neural network trainingExperience with securing sensitive data (encryption, access control, audit logging)Experience with HPC (High Performance Computing)Experience with scheduling systems such as Slurm or KubernetesLarge scale object storage services (S3 or similar)Experience in research or converting research to productsgitCondaSQL databasesC++ experienceMeta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here . We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta’s Pay Transparency Policy , Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law