Machine Learning Engineer

Posted today

harnhamJacksonville (FL)

Data Scientists Other Scientific and Technical Consulting Services

SENIORITY

Senior

SALARY

$140 K-$175 K

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About the role

Senior Machine Learning Engineer / Applied Scientist 100% Remote (USA) $140,000 - $175,000 Base + Annual Bonus + EquityUS Citizen or Green Card Holder Required We're partnered with a rapidly growing technology company that is solving complex fraud and risk challenges at massive scale. Their machine learning team sits at the core of the business, building production models that directly influence millions of real-time decisions and help protect customers from fraud. This is an opportunity to join a highly technical team where you'll have ownership from experimentation through production, working on large-scale ML systems and developing innovative approaches to fraud detection and risk modeling. You'll collaborate with experienced ML scientists and engineers to solve challenging problems using advanced statistical and machine learning techniques.

What You'll Be Doing:

Design, develop, and deploy machine learning models focused on fraud detection and risk decisioning
Own the full ML lifecycle, from experimentation and validation through production deployment
Work with massive datasets in distributed computing environments
Develop and improve model evaluation frameworks and performance metrics
Partner with cross-functional stakeholders to drive measurable business impact

What We're Looking For:

4+ years of hands-on Machine Learning experience in a production environment
Strong experience with Python, SQL, and SparkDeep understanding of machine learning, statistics, and experimental design
Experience building models from the ground up, not just implementing existing frameworks
Fraud, risk, payments, or trust & safety experience is required
PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is highly preferred
Why It's Worth a Conversation
Fully remote anywhere in the U.S.Competitive base salary of $140K-$175K (location dependent)
Annual performance bonus
Equity/stock options
Unlimited PTOStrong benefits package
Opportunity to work on mission-critical ML systems with direct business impact
High ownership, high visibility environment where ML is a core business function

If you're passionate about applying machine learning to real-world fraud and risk problems at scale, I'd love to connect.

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