Sr. Machine Learning Engineer

Marqeta; Vancouver; Remote; CAD 81,000 - 108,000; Full time

Job summary

Marqeta seeks a Sr. Machine Learning Engineer in Vancouver to enhance their AI/ML solutions within the embedded finance ecosystem. This role involves optimizing systems for fraud detection and AML compliance, collaborating with diverse teams, and leveraging cloud technology for model development. You'll be pivotal in transforming financial access through innovation.

Benefits

Multiple health insurance options

Flexible time off

Retirement savings program with company contribution

Equity in a publicly-traded company

Monthly stipend to support remote work

Annual development dollars for personal growth

Family-forming benefits and parental leave

Qualifications

• 5+ years of professional experience with a Bachelor’s or 3+ years with a Master’s.
• Experience in developing ML infrastructures and cloud computing.
• Proficiency in Python and familiarity with ML frameworks.

Responsibilities

• Build and maintain ML infrastructure for model development.
• Collaborate with product teams to translate business needs into technical solutions.
• Stay updated on the latest in machine learning and payment technologies.

Skills

Machine Learning

Cloud Platforms

Python

Education

Bachelor’s or Master’s Degree in Computer Science, Statistics, or Applied Math

Tools

AWS

Sagemaker

Kubernetes

Terraform

TensorFlow

PyTorch

Job description

Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). Today nearly 8 out of 10 Americans use a product powered by Marqeta every week. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all.

As a Sr. Machine Learning Engineer at Marqeta, you will be integral to our team dedicated to build AI / ML solutions for optimizing the security and efficiency of the embedded finance ecosystem. Your expertise will contribute to developing, implementing, and maintaining machine learning based systems that address key challenges in the payment industry, such as fraud detection, transaction enrichment, dispute processing, anti-money laundering (AML), and sanction screening and more

We work . This role can be performed remotely in either Toronto, ON or Vancouver, BC Canada.. We’d love for you to join us!

The Impact You'll Have

• Model Development and Implementation As a ML engineer, you will build and maintain the ML infrastructure to allow machine learning scientists and data scientists to develop, train, evaluate, deploy, and operate ML models and systemsYour will iterate model development life cycle to boost productivity and innovation paceYou will use your software development expertise to tackle complex infrastructure and architecture challengesYou will have the opportunity to lead other engineers to drive ML projects (e.g. fraudulent transactions, transaction enrichment, automate dispute resolutions, enhance AML, sanctions compliance) from technical design to launchYou will also collaborate with other teams and internal customers to set expectations, gather input and communicate results and continuously make improvements and updates as necessary.
• Collaboration and Strategy : Collaborate with product teams and stakeholders to understand business needs and translate them into technical solutions.Participate in strategic discussions to enhance data-driven decision-making processes within the company.Provide insights and recommendations based on model outcomes and data analysis.
• Research and Innovation : Stay abreast of the latest developments in machine learning and payment technologies.Explore new data sources and modeling techniques to enhance the accuracy and efficiency of existing models.Initiate and lead projects that apply cutting-edge machine learning techniques to solve new and existing problems in the payment industry.
• Technical Documentation and Compliance :

Ensure all machine learning processes comply with relevant regulatory and ethical standards.Document model development processes, decisions, and outcomes for technical and non-technical stakeholders.Assist in preparing reports and presentations for regulatory bodies as needed.

Who You Are

• Bachelor’s (5+ years of professional experience) or Master’s degree (3+ years of professional experience) in Computer Science, Statistics, Applied Math, or a related field.
• Proven experience in cloud platforms, machine learning infrastructure / platform, cloud computing, Infrastructure as Code, (AWS, Sagemaker, Databricks, Kubenetes, Terraform, etc.)
• Proficient in programming languages such as Python or R and familiar with ML frameworks (e.g., TensorFlow, PyTorch, etc.)
• Strong understanding of data structures, data modeling, software architecture, and large scale computing systems
• Excellent problem-solving skills and ability to work in a dynamic, fast-paced environment.
• Experience with GenAI modeling technologies and use cases
• Experience with scalable production model development and deployment

Nice-To-Haves

• Experience with NLP techniques for cleansing and interpreting textual data.
• Knowledge of regulatory frameworks affecting the payment and finance industries (e.g., GDPR, PCI-DSS).
• Familiarity with DevOps / MLOps tools (e.g., Docker, Kubernetes, Sagemaker, MLflow) to streamline model deployment.

Recruiter For This Role

Typical Process

• Application submission
• Recruiter phone call
• Virtual “Onsite” consisting of 4-5, 45 min calls
• Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is : $81,000 - $108,000.

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution
• Equity in a publicly-traded company
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

About Marqeta

Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all.

Intentional Curiosity : We believe in asking the questions others shy away from. True progress comes from understanding today’s realities while challenging ourselves to do better and take on the status quo.

Thoughtful Responsibility : We believe that every interaction with our technology and platforms matters. Businesses and livelihoods rely on our work, so we strive for excellence and accountability every day with the highest standards for failsafe technology and compliance.

Innovative Simplicity : We believe that simplicity is powerful, especially in innovation—making a tool work better or finishing that feature that makes everyone smile. Our customers face a lot of complexity. We’re not here to add more.

Shared Success : We believe the measure of our success is the success of our employees, customers, and communities. From local businesses to big corporations, our impact goes deep and wide. And we’ve got the results to prove it.

Passion to Thrive : We believe anyone with a better idea should be able to change the game for our company and our customers. We solve big problems for our customers and draw energy from that challenge and opportunity.

Equal Employment Opportunity, Accommodations and Privacy

Marqeta is proud to be an equal opportunity employer that gives consideration to all qualified applicants regardless of race, ancestry, national origin, color, Indigenous, citizenship, religion / creed, sex, sexual orientation, gender identity, gender expression marital status, family status, disability, veteran status, criminal histories consistent with legal requirements, or any other characteristic protected by applicable law.

Our dedication to diversity and inclusion extends beyond the categories above. Review Marqeta’s ESG Report to see that dedication in action. Fostering an environment where everyone feels valued and respected creates a stronger and more innovative team at Marqeta. We celebrate the unique contributions of each individual and empower all members of our organization. Join us in building a company where diversity thrives and everyone can be their authentic selves.

If you require reasonable accommodation for the application process and beyond (including due to a disability), please submit this form and we will be more than happy to assist you. Marqeta will make reasonable accommodations for candidates when needed in accordance with applicable law. The Applicant and Candidate Privacy Notice applies to the personal data that you directly provide to us or that we collect during the application and candidate recruitment process.

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