Sr Machine Learning Engineer - ML Platform

What you'll do

• Design and develop scalable backend systems and ML platform capabilities used by multiple Ads teams.
• Build infrastructure and tools that support model development, deployment, serving, and continuous experimentation.
• Partner with ML engineers, scientists, and other teams to deliver reliable systems that support privacy commitments.

What they ask for

• Experience writing mission-critical production ML code and building ML infrastructure, frameworks, or services used by multiple teams.
• Experience building SDKs, APIs, automation UIs, automation, and CI/CD for development teams.
• Working experience building and deploying models; understanding of the ML lifecycle, model evaluation, train-serve skew, and data drift.
• Experience applying ML at scale in advertising, recommender systems, information retrieval, or related domains; working knowledge of deep learning architectures and PyTorch or TensorFlow.

Nice to have

• Experience with advertising, distributed training or low-latency model serving, foundation models, agentic AI, or privacy-preserving ML.
• Experience building infrastructure for LLMs, multimodal models, classical ML, and reinforcement learning.

Pay

$184,700 and $277,600 USD base salary

Tools

PyTorch, TensorFlow

AI focus

Build ML platform infrastructure and capabilities for model development, training, evaluation, deployment, and serving in advertising; preferred areas include foundation models, LLMs, multimodal models, reinforcement learning, and agentic AI.