Senior Machine Learning Engineer I // II at Signifyd | Remote
Company/Recruiter: Signifyd
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Opportunity type
Job
Location
Remote
Work arrangement
Remote
Compensation
$165,000/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 machine learning engineering or a related field.; Strong understanding of ML algorithms, statistical modeling, and data mining techniques.. Use one concrete example that shows you can Design, develop, and implement sophisticated machine learning models and algorithms..
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
This position offers the opportunity to work on impactful projects, contributing to the core machine learning infrastructure and product development at Signifyd. You will be instrumental in designing, building, and optimizing machine learning models that power our fraud prevention and revenue optimization solutions.Key Responsibilities
- Design, develop, and implement sophisticated machine learning models and algorithms.
- Conduct data analysis, feature engineering, and model evaluation.
- Deploy and maintain machine learning models in production environments.
- Collaborate with cross-functional teams, including product management, engineering, and data science.
- Stay abreast of the latest advancements in machine learning and artificial intelligence.
Requirements
- Proven experience in machine learning engineering or a related field.
- Strong understanding of ML algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies and cloud platforms is a plus.
- Excellent problem-solving and analytical skills.
What We Offer
- Competitive compensation and benefits package.
- Opportunity to work with a talented and passionate team.
- A culture that encourages innovation and continuous learning.
- The chance to make a significant impact on a growing company.
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