Staff Machine Learning Scientist, Marqeta
$176.8-260k
Salary dependent on location + Annual bonuses to eligible employees + Employee Stock Purchase Program
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 bonuses to eligible employees + Employee Stock Purchase Program
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 data science, machine learning engineering, or similar role within the financial services, banking, or payments space
- 6+ years expertise building and operating large scale, customer-facing, production ML capabilities
- Strong understanding of ML techniques including supervised, unsupervised, and reinforcement learning
- Strong understanding of MLOps and the ML development lifecycle, particularly using AWS Sagemaker and related 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
- 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 Machine Learning Scientist within our Data+ML organization, you will lead the development of customer-facing, production deployed Machine Learning capabilities to domain problems within the payments space
- This role will straddle both engineering and science concerns requiring a strong understanding of ML development methodology and theory, and modern MLOps practices and techniques
- Additionally, this role will help inform the technical trajectory of our ML ecosystem, support our AI strategy in alignment with our business objectives, and drive excellence in our ML development practices
- This role will report directly to the Sr. Director of Machine Learning and will play a key role in defining and delivering foundational ML capabilities to support Marqeta’s business and AI strategy
- Develop ML models and supporting technical capabilities across the end-to-end ML development lifecycle from ideation and prototyping through production deployment and monitoring
- Build ML capabilities that address critical internal and external customer-facing challenges in the payments space including risk, fraud, disputes processing, and named entity recognition
- Collaborate with key GTM, Product, and Engineering stakeholders to identify model development opportunities, guide decision making by leveraging payments expertise, and create prototypes to assess feasibility and expected business value
- Partner with legal, regulatory and risk stakeholders to ensure compliance of ML development efforts with all applicable legal and regulatory requirements
- Work together with Product and Technical Program Managers to align the technical vision for our ML ecosystem to the needs of our ML scientists
- 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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