Senior ML Engineer - Real-Time Fraud Detection (Remote)

Sardine

United States

Remote

USD 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Generous compensation in cash and equity
Flexible paid time off
Health insurance, dental, and vision coverage
401k matching
MacBook Pro provided
Home office setup stipend
Monthly meal stipend
Annual wellness stipend

Job summary

A leading fraud prevention company is looking for a Machine Learning Engineer to design systems for fraud detection. This remote role involves building and optimizing data pipelines, deploying ML models, and collaborating with software engineers to ensure efficient operation. Ideal candidates will have over 5 years of software engineering experience with backend focus, strong SQL skills, and a background in machine learning with large datasets. Join a dynamic team that values flexibility and independence in work.

Qualifications

  • 5+ years in software engineering with strong backend experience.
  • Hands-on experience with applied ML using large datasets.
  • Strong SQL skills with relational and non-relational databases.

Responsibilities

  • Build and optimize data pipelines to process device and behavioral data.
  • Develop and deploy ML models for fraud detection.
  • Collaborate with engineers to integrate models seamlessly.

Skills

Software engineering
ML with large datasets
Backend experience
SQL skills
Communication skills

Education

Bachelor's or Master's in Computer Science, Engineering, or related discipline

Tools

Go
Python
PyTorch
Scikit-learn

Job description

A leading fraud prevention company is looking for a Machine Learning Engineer to design systems for fraud detection. This remote role involves building and optimizing data pipelines, deploying ML models, and collaborating with software engineers to ensure efficient operation. Ideal candidates will have over 5 years of software engineering experience with backend focus, strong SQL skills, and a background in machine learning with large datasets. Join a dynamic team that values flexibility and independence in work.
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