Hybrid Senior Machine Learning Engineer – Data Foundation, AI

Posted 3 weeks ago

Apply now

About the role

  • 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

Senior Machine Learning Engineer – Data Foundation, AI

Job type

Experience level

Senior

Salary

$225,600 - $337,200 per year

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job