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Jobs/Remote (United States)/Machine Learning Engineer
Remote (United States), US

Machine Learning Engineer

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens.

Company
Sardine
Compensation
$170K - $220K
Schedule
Full-Time
Role overview

What this role actually needs.

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. 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. - Champion best practices in testing, documentation, and observability. Benefits: - Generous compensation in cash and equity - Early exercise for all options, including pre-vested - Work from anywhere: Remote-first Culture - Flexible paid time off and Year-end break - Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific - 4% matching in 401k / RRSP - US and Canada specific Company context: Sardine builds fraud, compliance, and risk infrastructure with active hiring across engineering, security, product, and data.

Responsibilities

Day-to-day expectations

Sardine lists these responsibilities for the Machine Learning Engineer role.

  • 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.
  • Champion best practices in testing, documentation, and observability.
Benefits

Why people would want this job

Sardine published these compensation, benefits, or working-context details with the role.

  • Generous compensation in cash and equity
  • Early exercise for all options, including pre-vested
  • Work from anywhere: Remote-first Culture
  • Flexible paid time off and Year-end break
  • Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
  • 4% matching in 401k / RRSP - US and Canada specific
UpJobz market context

Why this listing is more than a copied job post.

Machine Learning Engineer is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

$170K - $220K is visible before the click, so candidates can compare the role against local market expectations before applying.

Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

Because this is remote, country scope and time-zone expectations matter as much as the title. Confirm the employer's allowed work locations on jobs.ashbyhq.com.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
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  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Artificial IntelligenceRemoteaillmmachine-learningpython

Watchouts

  • $170K - $220K is visible, so calibrate your application around the posted range.
  • Use united states residents as part of your positioning so the recruiter does not have to infer it.
  • Lead with distributed collaboration, async delivery, and timezone discipline.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmmachine-learningpythonkubernetessecurityplatformobservabilityapifraudrisk
Next step

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Source: jobs.ashbyhq.com Β· Source ID: 2c8f0342-b8af-4cc2-85cd-67bc48275568 Β· Confidence: 91/100 Β· Last checked: May 7, 2026

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