Machine Learning Engineer

Sardine
North America, United States, Canada
Workplace: RemoteFull timeUSD 170,000 - 200,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Team collaboration"]

Design and build end-to-end machine learning systems for fraud detection, spanning data pipelines, backend services (Go/Python), and production ML models. You’ll own modeling, feature engineering, deployment, monitoring, and observability, working with platform and backend engineers in a remote-first, globally distributed team focused on secure, scalable fraud prevention solutions.

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FursaFursa
Sardine
Sardine
11 months ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design and build end-to-end machine learning systems for fraud detection, spanning data pipelines, backend services (Go/Python), and production ML models. You’ll own modeling, feature engineering, deployment, monitoring, and observability, working with platform and backend engineers in a remote-first, globally distributed team focused on secure, scalable fraud prevention solutions.
Location: North America, United States, Canada
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and optimize data pipelines and backend services to process device and behavioral data in real time.
  • •Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
  • •Turn raw data into production-ready features that feed our fraud detection systems.
  • •Collaborate with platform and backend engineers to integrate models seamlessly.
  • •Maintain high standards of security, privacy, and compliance.

Pay and Benefits

Salary: USD 170,000 - 200,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kRemote WorkLearning StipendHome OfficeMeal StipendWellness StipendLearning Budget

Key Requirements

  • •5+ years in software engineering with strong backend experience (Go or Python)
  • •Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn)
  • •Strong SQL skills and familiarity with relational and non-relational databases
  • •Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration
  • •Bachelors or Masters in Computer Science, Engineering, or a related discipline
Experience:5+ yearsFraud preventionFintechMachine learningSecurity
Education:Bachelor's
Skills:CommunicationTeam collaboration
Languages:English
Tech Stack:GoPythonPyTorchScikit-learnSQLDatabasesCI/CDDockerKubernetes

Company Brief

Sardine
Provides fraud prevention and account security solutions using machine learning to detect and block account takeover, payment fraud, and malicious actors for digital platforms and marketplaces.
Industry: Cybersecurity
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