Senior Director, Machine Learning

Marqeta
Oakland, CA Remote Full Time
POSTED ON 4/13/2023 CLOSED ON 5/31/2023

Job Posting for Senior Director, Machine Learning at Marqeta

Marqeta is on a mission to change the way money moves. Our open API card issuing platform provides unprecedented flexibility and control for industry-leading companies such as Square, Coinbase, J.P.Morgan, and Uber, to issue cards, authorize transactions, and manage payment operations in real time. Founded in 2010, Marqeta IPO’d in 2021 and has grown into a team of over 900 Marqetans in the US, UK, Canada, Singapore, and Australia. 

As Marqeta’s Senior Director, Machine Learning, you will be a strong, hands-on technical leader that brings deep ML/AI expertise and industry experience to Marqeta. You will lead a team of Machine Learning Scientists and your team will be responsible for ML/AI model development, evaluating customer scenarios in real-time, model deployment, and effectiveness monitoring. You will partner with our Risk & Disputes engineering team to build a strong ML model to solve for fraud risk detection for card transactions for the short/mid term. As the ML expert at MQ, you will work broad teams in Marqeta to identify areas where we can leverage ML/AI technology to help our customers and grow Marqeta business. You will have the opportunity to lead and contribute to the overall vision, direction, and strategy of ML/AI at Marqeta. 

If you are passionate about ML/AI and its application in the fast-growing payment space, this is an ideal opportunity for you to lead, contribute, impact, and further grow your career. 

We work Flexible First. This role can be performed remotely within the United States. We’d love for you to join us!

What You’ll Do

  • Drive the end-to-end development of strong ML models to solve for fraud rRisk detection. 
    • Including real-time decisioning, case review management, end customer (e.g. cardholder) onboarding, and disputes, etc. by leveraging and developing technology like ML/AI, rules, graph inference, data analysis, etc. 
    • Designing and performing analysis, driving signal/feature collection and data enrichment, designing model evaluation, running the evaluation, and delivering the evaluation report & communication, and convincing Marqeta customers our risk products can provide value to them and help them to have a healthy business growth
  • Understand the business, technology, and usage scenarios across the company and Marqeta customers to identify opportunities of leveraging ML/AI. Develop a vision, strategy, and roadmap to meet business objectives with existing or emerging technologies in the ML/AI space.
  • Lead, grow and manage an ML scientist team:
    • Provide effective coaching and guidance to team members on effective analysis, problem solving, model development, evaluation, deployment, and monitoring for customer/business impact in a hands-on manner.
    • Advocate and practice engineering principles including Security/Privacy, Quality, Reliability, Usability, Scalability/Performance, Productivity/Efficiency, and Operability.
    • Grow internal ML talents and attract external ML talents.
  • Build strong and trusted partnerships with both internal stakeholders and external customers:
    • Partner with our Risk product management and Engineering teams on Model development.
    • Partner with the Big Data Payments as a Service (PaaS) team to build a strong and effective platform for ML/AI model development, evaluation, serving, monitoring, feature engineering, etc.
    • Monitor & operate production services including understanding the user experience and ensuring happy customers.
    • Serve as a ML/AI expert in the company, providing effective advice to teams on where ML/AI technology can be leveraged.

What We’re Looking For

  • 18 years of industry experience in the ML/AI and big data areas
  • 5 years of hands-on ML/AI model development experience
  • Bachelor's degree in a technical field such as computer science or engineering. A PhD in computer science in the ML/AI or statistics areas is strongly preferred.
  • Deep expertise and hands-on experience in the areas of ML/AI and big data platform technology, especially the commonly used open-source packages
  • The ability to write code for data manipulation, data analysis, and model development
  • Someone who enjoys communicating directly with customers and using those insights to set the business and technical vision  and build customer-centric products
  • A demonstrated ability to effectively communicate technical and business issues to multiple organizational levels internally and externally
  • A simplifier: someone who can create simple solutions for complicated problems by setting technical goals with measurable and actionable success metrics

Nice-To-Haves

  • You have worked in the risk area of the Payments or Finance industry
  • Experience building large-scale ML/AI platforms is a big plus
  • Experience with cloud technology will help you ramp quickly at Marqeta
  • A record of building and growing strong/productive teams, including attracting top talent, caring for team members, and inspiring them to deliver outstanding results

Your Manager

  • Zj Zheng, SVP of Data 

Your Team

  • Abhineet Gupta 
  • Hongtao Zhang 
  • Po-Yi Do
  • Wei Qi

Recruiter For This Role

  • Lizzie LaPonsey

Typical Process

  • Application submission
  • Recruiter phone call
  • Hiring manager video call
  • Virtual “Onsite” consisting of 6, 45 min calls
  • Offer!

Compensation and Benefits

  • Flexible time off – take what you need
  • Retirement savings program with company contribution
  • Equity in a publicly-traded company and an Employee Stock Purchase Program
  • Health insurance premiums paid 100% coverage for dependents and pets
  • Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
  • Free therapy sessions, financial coaching, and legal advice
  • Monthly stipend to support our remote work model (#LI-Remote)

Visa Sponsorship

  • We value diverse cultures and thoughts from around the world. Therefore, we can sponsor a work visa transfer for this role.
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