Senior Machine Learning Developer

4 weeks ago

Vancouver, British Columbia, Canada Marqeta, Inc. Full time

About Marqeta, Inc.

Marqeta is revolutionizing the financial landscape by enabling embedded finance solutions. Our innovative card issuing platform empowers businesses with unparalleled flexibility and control over card issuance, transaction authorization, and real-time payment management. Trusted by leading brands in the modern economy, our technology impacts millions of users weekly.

Role Overview

As a Senior Machine Learning Engineer at Marqeta, you will play a pivotal role in our mission to enhance the security and efficiency of the embedded finance ecosystem through AI and machine learning solutions. Your contributions will be vital in developing, implementing, and maintaining advanced machine learning systems that tackle critical challenges in the payment sector, including fraud detection, transaction enrichment, dispute resolution, anti-money laundering (AML), and sanctions compliance.

Your Responsibilities

  • Model Development and Implementation:
    • Construct and sustain the machine learning infrastructure to facilitate the work of data scientists and machine learning specialists.
    • Enhance the model development lifecycle to increase productivity and foster innovation.
    • Utilize your software development skills to address complex infrastructure and architectural challenges.
    • Lead engineering teams in executing machine learning projects from conception to deployment.
    • Collaborate with various teams to align expectations, gather feedback, and communicate results effectively.
  • Collaboration and Strategy:
    • Work closely with product teams to translate business requirements into technical solutions.
    • Engage in strategic discussions to improve data-driven decision-making across the organization.
    • Provide actionable insights based on model performance and data analysis.
  • Research and Innovation:
    • Stay updated on the latest advancements in machine learning and payment technologies.
    • Investigate new data sources and modeling techniques to enhance existing models.
    • Initiate and lead projects that apply innovative machine learning methods to address challenges in the payment industry.
  • Technical Documentation and Compliance:
    • Ensure compliance with relevant regulatory and ethical standards in all machine learning processes.
    • Document the development processes, decisions, and outcomes for both technical and non-technical stakeholders.
    • Assist in preparing necessary reports and presentations for regulatory compliance.

Qualifications

  • Bachelor's degree with 5+ years of relevant experience or a Master's degree with 3+ years in Computer Science, Statistics, Applied Mathematics, or a related discipline.
  • Demonstrated experience with cloud platforms and machine learning infrastructure (AWS, Sagemaker, Databricks, Kubernetes, Terraform, etc.).
  • Proficient in programming languages such as Python or R, with familiarity in ML frameworks (e.g., TensorFlow, PyTorch).
  • Strong grasp of data structures, data modeling, software architecture, and large-scale computing systems.
  • Exceptional problem-solving abilities and adaptability in a fast-paced environment.
  • Experience with generative AI modeling technologies and applications.
  • Background in scalable production model development and deployment.

Preferred Qualifications

  • Experience with natural language processing techniques for data cleansing and interpretation.
  • Understanding of regulatory frameworks impacting the finance and payment sectors (e.g., GDPR, PCI-DSS).
  • Familiarity with DevOps/MLOps tools (e.g., Docker, Kubernetes, Sagemaker, MLflow) to enhance model deployment efficiency.

Compensation and Benefits

Marqeta offers a flexible work environment, allowing you to choose your preferred working setting. We provide competitive compensation based on various factors, including skills and experience. The base salary range for this position is CAD $81,000 - $108,000.

In addition to salary, we recognize and reward our employees through annual bonuses based on individual and company performance. Our benefits package includes:

  • Multiple health insurance options
  • Flexible time off policy
  • Retirement savings program with company contributions
  • Equity in a publicly traded company
  • Monthly stipend for remote work support
  • Annual development funds for professional growth
  • Family-forming benefits and up to 20 weeks of parental leave

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