Staff Machine Learning Engineer, Marqeta
Infrastructure
$176.8-260k
Salary dependent on location. + Annual Bonus + ESPP + Equity
Modern payment and card issuing solutions
Be an early applicant
Modern payment and card issuing solutions
501-1000 employees
Be an early applicant
$176.8-260k
Salary dependent on location. + Annual Bonus + ESPP + Equity
501-1000 employees
Company mission
To be the global standard for modern card issuing, empowering builders to bring the most innovative products to the world.
Role
Who you are
- 6+ years experience in a Machine Learning engineering role with deep expertise in ML architecture, MLOps, feature stores, data pipelines, inference and monitoring infrastructure using AWS managed services
- 6+ years expertise building large scale, compliant ML architectures in the financial services or similarly regulated industry
- 6+ years experience using product-oriented, user experience-centered approaches to building ML platforms and services
- Excellent communication and interpersonal skills, with the ability to cultivate relationships across teams, influence decision making, and collaborate with stakeholders at all levels of the organization
- Proven ability to develop structure, advance execution, and measure performance within various and complex projects, teams, and environment
- Excellent verbal and written communication skills including the ability to create technical design and product requirements documentation
- Proactive and strategic mindset, with the ability to anticipate business needs of customers and stakeholders
- A strong bias toward action and ability to operate proactively and effectively in a dynamic, fast-paced environment
- High ethical standards and a commitment to promoting a strong culture
- BS degree preferred
What the job involves
- As a Staff Engineer, Machine Learning Infrastructure within our Data+ML organization, you will support the technical vision and development of ML infrastructure used to enable the end-to-end development and delivery of ML models at Marqeta
- You will collaborate closely with Machine Learning Science, Product, and Engineering teams to refine ML development journeys, improve our target state ML architecture, drive technical design decisions that inform its implementation, and collaborate with our engineering teams to deliver it
- In this role, you will work closely with our engineering teams to drive the adoption of best practices across the organization and improve our operating posture
- You will build effective working relationships outside the Data+ML organization, including product and engineering leaders, use your technical expertise to influence members of the Data+ML team, and participate in the design and build out of Marqeta's data and ML ecosystem
- This role will report directly to the Sr. Director of Machine Learning and will play a key role in the design and development of Marqeta’s Machine Learning infrastructure
- Support the technical vision for our ML infrastructure optimized to support our customers and internal Machine Learning Scientists in alignment with our business and AI strategy
- Create infrastructure to support end-to-end ML development and delivery including prototyping, data and feature pipeline development, model training, deployment, and monitoring on AWS
- Collaborate with Machine Learning Science, Product, and Engineering teams to define technical designs, integrations with our core products, and deliver highly available ML capabilities to our end-users
- Maintain a high bar for operational excellence, drive best practices, and operate ML capabilities within established SLAs
- Collaborate with key Product, Engineering and Security stakeholders to drive governance, security and management best practices including standards, processes and tools to improve our operating posture
- Provide career mentorship and guidance to members of the Data+ML organization on topics including engineering skills, best practices, and business communication
- Your Manager: Marek Cyran
Application process
- Recruiter for this role: Kayla Osuna
Our take
Marqeta processes payments quickly, offering businesses a more straightforward way to take customer payments with its physical and virtual card solutions. The company has a string of major companies utilizing its flexible and scalable platform, including Uber, Doordash, and Square.
The company is rapidly expanding in Europe, with strong growth in processing volumes and new partnerships, including major collaborations with firms like Trade Republic. Along with the company's recent partnership with Visa and Affirm which introduces the Visa Flexible Credential, allowing users to access multiple payment methods on one card, adding convenience and flexibility.
With a focus on global growth and delivering innovative financial services, Marqeta is targeting new verticals and supporting underbanked businesses. With this aim, the company is on its way to deepening its impact in the fintech space and driving further innovation in payments.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
May 2020
$150m
LATE VC
May 2019
$250m
SERIES E
Total funding: $541.3m
Company benefits
- Praise: We believe in generously recognizing each other’s talents and contributions, and sharing the goodness we see
- Health and wellness: We cover your premiums for health, dental, and vision. Plus, your pet gets his/her/its own insurance, on us
- Flexible time off: We take time to relax and recharge when needed. We have unlimited time off for most employees and encourage an average of 5 weeks per year
- Marqeta paid family leave: We support all families. We offer 12 weeks of paid leave for all new parents and up to 20 for birthing parents. We also offer 4 weeks of caregiving leave
- 401k match: We invest in your future. We’ll match 50% of your contribution and up to 6% of your salary
- Meaningful equity: As owners of the company, we’re all in this together. Full-time employees will receive equity in Marqeta
- Giving back: We recognize we’re part of a larger community and encourage employees to donate their time and expertise to organizations they support
- Monthly stipend: You’ll get an additional monthly stipend on your paycheck to help fund your daily commute, cell phone, and/or internet connectivity
- Stock discount: The Employee Stock Purchase Program allows employees to buy discounted company stock
Company HQ
Northgate - Waverly, Oakland, CA
Leadership
Jason Gardner
(Founder)Having studied at Arizona State University, they worked in Management for Benettar Marble & Granite, NetManage, and Gartner Group. They founded PropertyBridge and spent 2 years at MoneyGram before founding Marqeta in January 2010.
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