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Experienced Machine Learning Engineer - Payments

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Plaid

2mo ago

  • Job
    Full-time
    Senior Level
  • Engineering
    Data
  • $203K - $303.5K
  • San Francisco
  • Quick Apply

AI generated summary

  • You need 5+ years in engineering, ML proficiency, experience in end-to-end data systems, big data tools, scalable architecture, strong software skills in Python, and collaboration across teams.
  • You will develop and optimize ML models, enhance infrastructure, debug production issues, and collaborate with teams to identify impactful opportunities for Plaid's AI/ML products.

Requirements

  • 5+ years of engineering experience.
  • Proficiency in machine learning algorithms and solid understanding of mathematics and statistics.
  • Experience in developing end to end data systems/products and productionizing AI/ML models.
  • Experience in well-known big data processing infrastructures, like Spark, Airflow, DBT, Hive, Presto, and etc.
  • Ability to architect software and ML systems at scale.
  • Solid software engineer skill in complex and multi-language systems. Code fluency in Python.
  • Experience in working with product, design, and backend engineering.

Responsibilities

  • Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products.
  • Continuously proposing and developing new features to improve the AI/ML model performance.
  • Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle.
  • Debugging ML production issues and ensuring stable model serving.
  • Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.

FAQs

What is the main purpose of the Experienced Machine Learning Engineer position at Plaid?

The main purpose of the Experienced Machine Learning Engineer position at Plaid is to build and maintain machine learning models that improve how millions of users understand and grow their financial lives, particularly focusing on products related to payments.

What are some key responsibilities of this role?

Key responsibilities of this role include developing, productionizing, and operating machine learning models and pipelines, proposing and developing new features to improve model performance, collaborating with cross-functional teams to identify business impact opportunities, and debugging ML production issues.

What qualifications are required for this position?

Required qualifications include 5+ years of engineering experience, proficiency in machine learning algorithms, experience in developing end-to-end data systems and productionizing AI/ML models, solid software engineering skills in complex systems, code fluency in Python, and experience with big data processing infrastructures like Spark and Airflow.

Is prior experience in the payments industry specifically required for this role?

While prior experience in the payments industry is not explicitly mentioned as a requirement, experience related to machine learning and related product areas is emphasized.

What programming language is primarily used in this role?

Python is the primary programming language used in this role, along with the necessity for solid software engineering skills in complex, multi-language systems.

What is the salary range for this position?

The salary range for this position is between $203,040 and $303,480 per year, with additional compensation in forms like equity and/or commission.

Does Plaid have any specific diversity and inclusion commitments?

Yes, Plaid values diversity and is committed to being an equal opportunity employer, ensuring that they do not discriminate based on various legally protected characteristics and encouraging qualified applicants from diverse backgrounds to apply.

What kind of benefits does Plaid offer to its employees?

Plaid provides a comprehensive benefit plan that includes medical, dental, vision, and 401(k) options, though specific details may vary by position and individual circumstances.

Can candidates with non-traditional backgrounds apply for this role?

Yes, candidates with non-traditional backgrounds are encouraged to apply as Plaid recognizes that strong qualifications can come from both prior work experiences and lived experiences.

What qualities does Plaid value in candidates for this position?

Plaid values technical know-how, creativity, user empathy, and teamwork in candidates for this position.

Our mission is to unlock financial freedom for everyone. Join us!

Technology
Industry
5001-10,000
Employees
2013
Founded Year

Mission & Purpose

Plaid is a data network that powers the tools millions of people rely on to live a healthier financial life. Plaid works with thousands of companies like Venmo, SoFi, and Betterment, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers more than 12,000 financial institutions across the US, Canada, UK and Europe. Headquartered in San Francisco, the company was founded in 2013 by Zach Perret and William Hockey.