Member of Technical Staff, Training Infra

• Design, implement, and optimize distributed training systems that scale across thousands of GPUs and nodes.
• Develop high-performance optimizations to maximize throughput and efficiency.
• Develop reusable frameworks and libraries to improve training reproducibility, reliability, and scalability for new model architectures.

• BS/MS/PhD in Computer Science, Engineering, or a related field (or equivalent experience).
• Understanding of ML frameworks (PyTorch, TensorFlow) from a systems perspective.
• Strong engineering skills — ability to contribute performant, maintainable code and debug in complex codebases.
• Proficiency in Python and at least one systems programming language (C++/Rust/Go).
• Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.

• Experience building and maintaining large-scale language models with tens of billions of parameters or more.
• Experience with ML workflow orchestration tools (Kubeflow, Airflow).
• Background in performance optimization and profiling of ML systems (Prometheus, Grafana, OpenTelemetry).
• Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.

Compensation

• Work with World-Class Talent: Collaborate with the inventors of diffusion models and leading AI researchers
• Shape Foundational Technology: Your decisions will influence how the next generation of AI products are built and used
• Immediate Impact: Join at the ground floor where your contributions directly shape product direction and company trajectory

• Competitive salary and equity in a rapidly growing startup
• Flexible vacation and paid time off (PTO)
• Health, dental, and vision insurance
• 401k match
• Catered meals (breakfast, lunch, & dinner)
• Commuter subsidies
• A collaborative and inclusive culture