About the job

Millions of people across the world come to our platform to find new ideas every day. It’s where they get inspiration, dream about new possibilities, and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes our platform forward. You’ll grow as a person and leader in your field, all the while helping users make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model supports a flexible approach to living and working.

Our platform is one of the fastest-growing online advertising platforms. Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to users. You’ll join a talented team with high impact, which designs high-performance and efficient ML systems, in order to power the most critical and revenue-generating models.

What you’ll do

• Be the technical leader of the Ads ML foundation evolution movement to scale our platform's revenue and ad performance.
• Use cutting-edge ML technologies including GPU, LLMs, vector search, and data processing systems to empower larger models.
• Tackle a variety of ambiguous problems and build innovative solutions.

What we’re looking for:

• BS (or higher) degree in Computer Science, or a related field.
• 8+ years of relevant industry experience in leading the design of large-scale & production ML infra systems.
• Deep knowledge with at least one state-of-the-art programming language (Java, C++, Python).
• Deep knowledge with building distributed systems or recommendation infrastructure.
• Hands-on experience with at least one modeling framework (PyTorch or TensorFlow).
• Hands-on experience with model/hardware accelerator libraries (CUDA, Quantization).
• Strong communicator and collaborative team player.

This position is not eligible for relocation assistance.

This revised description focuses on the role's responsibilities and requirements while maintaining confidentiality. Let me know if there are any further adjustments you'd like to make!