Codec Avatars Large Scale Experimentation Lead

Key Skills

Aartificial intelligence, Algorithms, C++, Computer Graphics, Database, Effective communication skills, High performance computing- HPC, Leadership Skill, Linux Operating system, Machine learning techniques, Python Programming, Shell Scripting language, SQL

Job Description

• Develop and debug machine learning workflows on a large multi-node cluster
• Automation of data ingress into cluster
• Implement compute allocation policy for the cluster
• Define and implement strategy for compute environment management and deployment
• Development of data read/access layer using proprietary framework
• Define and communicate cluster software requirements, based on research needs
• Enabling adoption of the cluster by additional research cases
• Definition, design and implementation of automated testing
• Point of contact for hardware & software questions regarding cluster capabilities
• Reporting 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 datasets
• Partner with security, privacy, and policy teams to ensure workflow compliance with company policy

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience providing technical leadership for teams of 5 or more engineers
• Experience with multi-node ML training workflows and frameworks
• Experience developing and debugging distributed systems
• Experience operating in a self-directed environment with multiple stakeholders across multiple teams
• Proven communication skills, including experience driving decision making
• Experience working with cross functional teams including hardware, software, network, legal, privacy and security
• Proven Python experience
• Proven Linux/shell scripting development experience
• Experience developing and supporting reliable multi-stage data pipelines
• Proven quantitative reasoning skills, analyzing trade-offs of different hardware and software solutions

Preferred Qualifications

• Experience providing technical leadership for teams of 12 or more engineers
• Masters or higher degree in Computer Science or related technical field, or equivalent experience
• 8+ years of experience in ML or distributed systems
• Experience developing or applying computer graphics algorithms
• Experience developing or applying computer vision algorithms
• 5+ years of experience developing workflows for large scale AI training
• Understanding of deep neural network training
• Experience with securing sensitive data (encryption, access control, audit logging)
• Experience with HPC (High Performance Computing)
• Experience with scheduling systems such as Slurm or Kubernetes
• Experience with large scale object storage services (S3 or similar)
• Experience in research or converting research to products
• Experience using git
• Experience using Conda
• SQL databases experience
• Modern C++ development experience

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$205,000/year to $281,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.