Machine Learning Engineer at Sardine

Job Overview

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Machine Learning Engineer at Sardine

Machine Learning Engineer

Location: Remote – Canada or United States (Work From Anywhere)

Type: Full-time

Department: Engineering

Compensation: $120,000 – $160,000 + Equity


Who we are:

Sardine has developed a behavior-based platform specializing in fraud prevention, regulatory compliance, and instant payments. Led by industry veterans and fraud experts from leading companies like PayPal, Zelle, Revolut, Chase, and Coinbase, the company has grown rapidly with over 200 global customers. Sardine has secured $75M in funding led by Andreessen Horowitz Growth, XYZ Capital, Google Ventures, Visa, Activant Capital, Experian, and ING Ventures.

Our Culture:

With hubs in the Bay Area, NYC, Austin, and Toronto, Sardine fosters a remote-first work culture, allowing employees to #WorkFromAnywhere. We prioritize hiring talented, self-motivated individuals, providing them with autonomy to excel. Valuing performance over hours worked, we emphasize a healthy work-life balance, ensuring our team doesn’t miss important personal moments for the sake of arbitrary work schedules.

About the Role:

As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and implementing cutting-edge machine learning solutions to mitigate fraud and risk, ensuring optimal outcomes for both our company and clients. Collaborating closely with cross-functional teams, you will contribute to the development of robust machine learning infrastructure and feature engineering capabilities.


  • 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 data scientists, software engineers, data analysts, account managers, and product managers to identify business challenges, devise solutions, and iteratively enhance machine learning models.
  • Establish and fortify ML observability to ensure the steadfast performance and reliability of machine learning models 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.

Ideal Candidate:

  • 5+ years of hands-on experience in Machine Learning or related roles.
  • 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.
  • Industry experience in Fraud, Risk, Compliance, Payments, or FinTech domains.
  • 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.

Compensation: Base pay range of $120,000 – $160,000 + Series B equity with tremendous upside potential + Attractive benefits

Benefits We Offer:

  • 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
  • Remote-first culture
  • Flexible paid time off
  • 100% health insurance, dental, and vision coverage for employees and 60% for dependents (US specific)
  • 4% matching in 401k (US specific)
  • Company-wide offsites
  • MacBook Pro delivered to your door
  • One-time stipend to set up a home office
  • Monthly meal stipend
  • Annual health and wellness stipend
  • Monthly meet-up stipend
  • Annual Learning stipend
  • Unlimited access to expert financial advisory

Join a fast-growing company with world-class professionals. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.


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