Senior Machine Learning Engineer

closed
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Sardine

πŸ’΅ $160k-$200k
πŸ“Remote - Worldwide

Summary

The job description is for a Machine Learning Engineer role at a financial crime prevention company offering remote work and flexible hours. The position involves designing, developing, and implementing machine learning solutions to mitigate fraud and risk.

Requirements

  • 5+ years of hands-on experience in Machine Learning or related roles within Fraud, Risk, Compliance, Payments, or FinTech domains
  • Extensive knowledge and educational background in computer science, machine learning, and statistics
  • Strong programming proficiency in Python and SQL, coupled with hands-on experience in backend development
  • Proficiency in data warehousing, data pipelines, and ETL tools, with a proven track record of managing the machine learning lifecycle
  • Experience with cloud computing platforms such as GCP, AWS, or Azure
  • Familiarity with Kubernetes or Docker for efficient containerization
  • Proven track record of collaboration with data scientists to build, deploy, and refine machine learning models
  • Prior experience in building ML observability to uphold the performance and reliability of machine learning models in production

Responsibilities

  • Design, develop, and implement machine learning models and algorithms utilizing Python and SQL
  • Enhance backend systems for feature processing and model serving, optimizing efficiency and reliability
  • Engage with large-scale data sets, data pipelines, and data warehousing tools to extract meaningful insights
  • Collaborate with cross-functional teams to identify business challenges, devise solutions, and iteratively enhance machine learning models
  • Establish and fortify ML observability to ensure machine learning models' steadfast performance and reliability in production
  • Build scalable and efficient machine learning infrastructure utilizing advanced tools such as Vertex AI, Apache Beam, and Kubeflow
  • Develop software systems and libraries to bolster machine learning applications and streamline integration
  • Conduct experiments, execute statistical analyses, and assess model performance to optimize accuracy, reliability, and speed

Benefits

  • Generous compensation in cash and equity
  • 7-years for post-termination option exercise (vs. standard 90 days)
  • Early exercise for all options, including pre-vested
  • Work from anywhere: Remote-first Culture
  • Flexible paid time off
  • Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
  • 4% matching in 401k / RRSP - US and Canada specific
  • MacBook Pro delivered to your door
  • One-time stipend to set up a home office β€” desk, chair, screen, etc
  • Monthly meal stipend
  • Monthly social meet-up stipend
  • Annual health and wellness stipend
  • Annual Learning stipend
  • Unlimited access to an expert financial advisory
This job is filled or no longer available