Senior Engineering Manager, Machine Learning at Signifyd | Remote
Company/Recruiter: Signifyd
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Opportunity type
Job
Location
Remote
Work arrangement
Remote
Compensation
$222,500/year
Closing date
Nov 24, 2026
Employer
Signifyd
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Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: Connect your CV or portfolio to Proven experience in leading and managing engineering teams.; Strong background in machine learning principles and applications.. Use one concrete example that shows you can Lead, mentor, and grow a team of machine learning engineers..
Check before applying: Confirm that Remote and the stated work arrangement suit you, check the closing date of Nov 24, 2026.
- Apply before Nov 24, 2026.
- The application route is available to verified Talent accounts.
Job Overview
As a Senior Engineering Manager, Machine Learning, you will be instrumental in shaping the future of Signifyd's machine learning capabilities. You will lead a team of skilled engineers, foster a collaborative and innovative environment, and ensure the successful delivery of cutting-edge machine learning solutions that drive significant business value.Key Responsibilities
- Lead, mentor, and grow a team of machine learning engineers.
- Drive the technical direction and execution of machine learning projects.
- Collaborate with cross-functional teams to define and implement ML strategies.
- Oversee the design, development, and deployment of scalable ML models and systems.
- Ensure high standards of code quality, testing, and operational excellence.
- Contribute to the recruitment and retention of top engineering talent.
Requirements
- Proven experience in leading and managing engineering teams.
- Strong background in machine learning principles and applications.
- Demonstrated success in delivering complex software projects.
- Excellent communication and interpersonal skills.
- Experience with cloud platforms and ML infrastructure is a plus.
What We Offer
- Opportunity to work on challenging and impactful problems.
- A collaborative and supportive work environment.
- Competitive compensation and benefits package.
- Professional development and growth opportunities.
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