Machine Learning Engineer - Data Foundation and AI

• Building and scaling advanced ML/AI systems that power core Plaid products and applications used by millions of consumers
• Driving impact at scale by improving distributed training, serving, and ML operations to make Plaid’s AI capabilities faster, more reliable, and more widely available
• Developing new AI applications that enable innovative product experiences across fintech
• Tackling 0 to 1 problems where you explore new approaches, as well as scaling 1 to 10 systems for reliability and efficiency
• Collaborating with some of the strongest MLEs at Plaid in a high-ownership, bottom-up driven team
• Experimenting with cutting-edge ML and AI techniques while balancing practical productionization and measurable business impact

• 1-3 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
• Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes

Experience applying ML/AI in fintech or similarly regulated industries is a plus

• medical
• dental
• vision
• 401(k)
• equity
• commission