Design, build, and scale advanced ML/AI systems that power Plaid products and applications.
Develop reliable distributed training and serving systems.
Improve ML operations at scale.
Build AI-powered applications that enable new product experiences.
Collaborate with team members and experiment with cutting-edge ML and AI techniques.
Requirements
5+ years of experience training, deploying, and scaling ML/AI models in production environments.
Strong experience with distributed systems and ML operations — from large-scale training to low-latency serving and monitoring.
Proficiency in Python and modern ML frameworks (e.g., PyTorch), with the ability to implement and optimize complex models.
Hands-on experience building or scaling ML/AI infrastructure, pipelines, or reusable platforms that support multiple teams.
Curiosity and drive to experiment with advanced AI techniques (e.g., embeddings, retrieval, generative modeling) while staying grounded in production impact.
Experience applying ML/AI in fintech or similarly regulated industries is a plus.
Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes.
Benefits
Comprehensive benefit plan, including medical, dental, vision, and 401(k)
Job title
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