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.