Machine Learning Engineer at Sardine

S
Sardine

Machine Learning Engineer

us flag
US, CA

Remote

Full Time

#Fraud Prevention

#Machine Learning

#Fintech

#Go

#Python

#PyTorch

#SQL

#Data Pipelines

#Deployment

#Kubernetes

#Docker

Sardine is looking for a Machine Learning Engineer

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Are you ready to help us redefine the future of financial security? We are a leader in the fraud prevention and AML compliance space, protecting over 300 banks, retailers, and fintech companies from sophisticated threats like payment fraud and account takeovers. With $145M in funding from top-tier investors like Andreessen Horowitz and Google Ventures, we are scaling rapidly and looking for passionate individuals to join our mission of stopping fraud before it happens.

What you bring

As a Senior Machine Learning Engineer working in a full-time capacity, you will bridge the gap between applied machine learning and large-scale systems engineering. You will be responsible for designing the infrastructure that powers our real-time fraud detection, ensuring our models are as efficient as they are accurate. This role is remote, with the flexibility to work from anywhere within the United States or Canada. Your core responsibilities will include:

  • Building and optimizing robust data pipelines and backend services in Go to process behavioral data in real time.
  • Developing, deploying, and maintaining ML models using PyTorch to ensure reliable performance in production environments.
  • Collaborating with cross-functional engineering teams to integrate models into our core platform using Kubernetes and Docker.

Requirements

We are looking for a candidate who combines deep technical expertise with a proactive, ownership-driven mindset. You should have at least five years of software engineering experience, with a strong background in backend development and applied machine learning on large datasets. Proficiency in SQL and experience with the full ML lifecycle, from feature engineering to deployment and monitoring, is essential. You must be fluent in English and hold a degree in Computer Science, Engineering, or a related field. We value individuals who are self-motivated, communicate clearly, and thrive in a remote-first environment.

What we offer

We believe in rewarding our team for their impact and dedication. Our benefits package is designed to support your professional growth and personal well-being, whether you are working from a home office or a favorite cafe.

  • Equity compensation to ensure you share in our long-term success.
  • Comprehensive medical, dental, and vision insurance.
  • 401k retirement savings options.
  • A dedicated home office budget to help you build your ideal workspace.
  • An annual learning budget to support your professional development.
  • Access to wellness programs to help you maintain a healthy work-life balance.
  • The freedom and flexibility of a remote work culture.

How to Apply

If you are excited about solving complex challenges in the fintech space and want to work with a world-class team, we would love to hear from you. Please reach out to us with your application to start the conversation about how you can contribute to our mission.

S

Sardine

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