Senior Machine Learning Engineer - Data Foundation and AI

PlaidSan Francisco, CA
69d$225,600 - $337,200

About The Position

You'll be a senior machine learning engineer on the Data Foundation & AI team. In this role, you will design, build, and scale advanced ML/AI systems that power Plaid products and applications. Your work may span developing reliable distributed training and serving systems, improving ML operations at scale, and building AI-powered applications that enable new product experiences.

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.

Responsibilities

  • 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.

Benefits

  • Comprehensive benefit plan, including medical, dental, vision, and 401(k).
  • Additional compensation in the form(s) of equity and/or commission.
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