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.
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.
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.
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
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
United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
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.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to machine learning engineer is a high-signal remote role in remote (united states), and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
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.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from jobs.ashbyhq.com, confirm the role is still active, then apply on the employer or ATS page.
Source: jobs.ashbyhq.com Β· Source ID: 2c8f0342-b8af-4cc2-85cd-67bc48275568 Β· Confidence: 91/100 Β· Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs