Marqeta is hiring a
Machine Learning Engineer, Remote - Canada
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Machine Learning Engineer
🏢 Marqeta
💵 $58k-$77k
📍Canada
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Summary
The job is for a Machine Learning Engineer at Marqeta, based in Toronto, ON or Vancouver, BC Canada. The role involves building AI/ML solutions to optimize the security and efficiency of the embedded finance ecosystem, focusing on fraud detection, transaction enrichment, dispute processing, AML, and sanction screening.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Math, or a related field
- Proven experience in cloud platforms, machine learning infrastructure/platform, cloud computing, Infrastructure as Code
- 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
Responsibilities
- Build and maintain the ML infrastructure to allow machine learning scientists and data scientists to develop, train, evaluate, deploy, and operate ML models and systems
- Iterate model development life cycle to boost productivity and innovation pace
- Use software development expertise to tackle complex infrastructure and architecture challenges
- Lead other engineers to drive ML projects from technical design to launch
- 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
- 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
Preferred Qualifications
- 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
Benefits
- 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
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Please let Marqeta know you found this job on JobsCollider. Thanks! 🙏