Experienced Software Engineer - Machine Learning Infra

Plaid powers financial tools that millions rely on, connecting financial accounts to apps and services across 12,000 institutions in the US, Canada, UK and Europe.
$182,520 - $297,000
Machine Learning
Staff Software Engineer
Remote
1,000 - 5,000 Employees
8+ years of experience
Finance · Enterprise SaaS · AI

Description For Experienced Software Engineer - Machine Learning Infra

Plaid, a leading fintech company, is seeking a Staff Software Engineer to lead their Machine Learning Infrastructure team. This role combines technical leadership with hands-on development, focusing on building and maintaining foundational ML systems. The position offers a competitive salary range of $182,520 - $297,000, plus equity and comprehensive benefits.

The role involves leading the development of Plaid's Feature Store Platform and shaping the company's ML infrastructure strategy. You'll be responsible for critical components including feature store development, model serving and deployment, data exploration systems, and ML cost management frameworks. The position also includes pioneering work on Plaid's LLM AI platform initiatives.

Plaid's technology powers thousands of financial applications, serving millions of users across the US, Canada, UK, and Europe. The company maintains offices in San Francisco, New York, Washington D.C., London, and Amsterdam, offering a remote-friendly work environment. This role presents an opportunity to impact the future of financial technology while working with cutting-edge ML infrastructure.

The ideal candidate brings 8+ years of software engineering experience, deep expertise in ML infrastructure systems, and proven leadership abilities. You'll work closely with MLEs and product engineers to support various ML-based product lines while contributing to Plaid's overall data ecosystem. The role offers significant growth potential and the chance to shape the future of financial technology through advanced machine learning capabilities.

Last updated a day ago

Responsibilities For Experienced Software Engineer - Machine Learning Infra

  • Lead and contribute hands-on to build the Feature Store for entire Plaid
  • Shape the future of ML infrastructure for Plaid
  • Provide technical leadership and mentorship
  • Maintain infrastructure for ML developer environment
  • Support team in setting multi-year technical strategy and roadmap
  • Pioneer early foundation of LLM AI platform for Plaid

Requirements For Experienced Software Engineer - Machine Learning Infra

Python
  • 8+ years of software engineering experience
  • Extensive hands-on software engineering experience in ML Infrastructure
  • Deep understanding of ML Infrastructure systems
  • Experience in developing Feature Store system
  • Strong cross-functional collaboration and communication skills
  • Demonstrated leadership abilities and mentoring experience
  • Experience with AWS Sagemaker, Tecton, or LLM training/serving infrastructure (Nice to have)

Benefits For Experienced Software Engineer - Machine Learning Infra

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
  • Equity compensation

Interested in this job?

Jobs Related To Plaid Experienced Software Engineer - Machine Learning Infra

Staff Machine Learning Engineer - ML Algorithms

Staff Machine Learning Engineer position at EarnIn, focusing on developing and deploying advanced ML solutions and LLMs for fintech applications, offering competitive compensation and hybrid work arrangement.

Senior Staff Software Engineer, Experimentation Platform

Senior Staff Software Engineer role at DoorDash focusing on building and scaling the Experimentation Platform using ML, AI, and statistical methodologies.

Lead Software Engineer (AI)

Lead Software Engineer position focusing on AI development at Valorem Reply, requiring extensive experience in software development and team leadership.

Founding Lead Machine Learning Engineer

Lead the development of AI-driven knowledge discovery systems at Zaimler, a VC-backed startup revolutionizing enterprise data preparation for AI applications.

Health Tech & AI Startup: Founding Machine Learning Engineer

Founding Machine Learning Engineer position at HealthTech & AI startup focusing on developing cutting-edge AI platforms and healthcare solutions.