... fraud detection, search ranking, text/sentiment classification, collaborative filtering ... Adapt standard machine learning methods to best exploit modern parallel environments (e.g ...
... fraud detection, search ranking, text/sentiment classification, collaborative filtering ... Adapt standard machine learning methods to best exploit modern parallel environments (e.g ...
Applied AI/ML Senior Associate - Payments
Manhattan, NY · On-site
$137K - $195K/yr
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
Applied AI/ML Senior Associate - Payments
Manhattan, NY · On-site
$137K - $195K/yr
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
... quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with ...
Senior Machine Learning Engineer
New York, NY · On-site
$114K - $157K/yr
As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that ... Build production models for anomaly detection, predictive maintenance and usage optimization.
Senior Machine Learning Engineer
New York, NY · On-site
$114K - $157K/yr
As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that ... Build production models for anomaly detection, predictive maintenance and usage optimization.
Team The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by ... Design, build, and deploy machine learning and predictive models utilizing Python to detect ...
Team The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by ... Design, build, and deploy machine learning and predictive models utilizing Python to detect ...
Senior Data Analyst - Fraud Strategy & Operations
New York, NY · Hybrid
$94K - $118K/yr
Team The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by ... Design, build, and deploy machine learning and predictive models utilizing Python to detect ...
Senior Data Analyst - Fraud Strategy & Operations
New York, NY · Hybrid
$94K - $118K/yr
Team The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by ... Design, build, and deploy machine learning and predictive models utilizing Python to detect ...
... fraud detection systems across a diverse and growing portfolio of merchants. You'll work across ... Continuous learning - We challenge each other and constantly improve Why Join Us * Competitive ...
... fraud detection systems across a diverse and growing portfolio of merchants. You'll work across ... Continuous learning - We challenge each other and constantly improve Why Join Us * Competitive ...
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Product Manager - Fraud AI/ML
Manhattan, NY · On-site
$133K - $215K/yr
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Product Manager - Fraud AI/ML
Manhattan, NY · On-site
$133K - $215K/yr
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
New
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
New
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
New
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
New
Senior Machine Learning Operations Engineer
Manhattan, NY · On-site
$115K - $158K/yr
... detection, tracking, and recognition in defense contexts. • Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems ...
Senior Machine Learning Operations Engineer
Manhattan, NY · On-site
$115K - $158K/yr
... detection, tracking, and recognition in defense contexts. • Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems ...
Machine Learning Operations Engineer
Manhattan, NY · On-site
$120 - $170/hr
Implement automated data quality monitoring including profiling, anomaly detection, validation ... Troubleshoot production machine learning issues and lead incident response activities. * Build CI ...
Machine Learning Operations Engineer
Manhattan, NY · On-site
$120 - $170/hr
Implement automated data quality monitoring including profiling, anomaly detection, validation ... Troubleshoot production machine learning issues and lead incident response activities. * Build CI ...
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Senior Machine Learning Operations Engineer
Manhattan, NY · On-site
$115K - $158K/yr
... detection, tracking, and recognition in defense contexts. • Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems ...
Senior Machine Learning Operations Engineer
Manhattan, NY · On-site
$115K - $158K/yr
... detection, tracking, and recognition in defense contexts. • Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems ...
Machine Learning Engineer
Manhattan, NY · On-site
$120 - $150/hr
... detection * End-to-end machine learning model experience in production; that you've stood up a service including experimenting, training, testing and tuning a job against a dataset all the way ...
Machine Learning Engineer
Manhattan, NY · On-site
$120 - $150/hr
... detection * End-to-end machine learning model experience in production; that you've stood up a service including experimenting, training, testing and tuning a job against a dataset all the way ...
Product Manager - Fraud AI/ML
Manhattan, NY · On-site
$122K - $201K/yr
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Product Manager - Fraud AI/ML
Manhattan, NY · On-site
$122K - $201K/yr
Join a team where your expertise in machine learning and AI directly protects millions of customers ... Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated ...
Fraud Detection Machine Learning information
See Wantagh, NY salary details
$11 - $12.49
4% of jobs
$12.49 - $13.98
9% of jobs
$15.12 is the 25th percentile. Wages below this are outliers.
$13.98 - $15.47
15% of jobs
$15.47 - $16.95
20% of jobs
The median wage is $17.08 / hr.
$16.95 - $18.44
19% of jobs
$19.12 is the 75th percentile. Wages above this are outliers.
$18.44 - $19.93
17% of jobs
$19.93 - $21.42
7% of jobs
$21.42 - $22.91
4% of jobs
$22.91 - $24.40
2% of jobs
$24.40 - $25.89
1% of jobs
$25.89 - $27.38
1% of jobs
$10
$18
$27
How much do fraud detection machine learning jobs pay per hour?
As of Aug 12, 2026, the average hourly pay for fraud detection machine learning in Wantagh, NY is $18.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $19.57 per hour, depending on experience, location, and employer.
What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?
Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.
What is fraud detection using machine learning?
Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.
What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?
| Aspect | Fraud Detection Machine Learning | Fraud Analyst |
|---|---|---|
| Credentials | Data science, machine learning certifications, programming skills | Finance, criminal justice degrees, analytical skills |
| Work Environment | Data-driven, tech-focused, often in financial or e-commerce sectors | Investigative, report-focused, in financial institutions or insurance companies |
| Employer & Industry | Tech companies, banks, e-commerce platforms | Financial institutions, insurance firms, retail |
Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.
What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?
To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.
What cities near Wantagh, NY are hiring for Fraud Detection Machine Learning jobs? Cities near Wantagh, NY with the most Fraud Detection Machine Learning job openings:
Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
135th of 243 rated software companies
Job description
Meta is seeking a Software Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer (Technical Leadership) Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Software Engineer (Technical Leadership) Responsibilities:
- Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
- Effectively communicate complex features & systems in detail.
- Understand industry & company-wide trends to help assess & develop new technologies.
- Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
- Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
- Suggest, collect and synthesize requirements and create an effective feature roadmap.
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Experience leading projects with industry-wide impact.
- Experience communicating and working across functions to drive solutions.
- Experience in mentoring/influencing engineers across organizations.
- Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
- Experience in driving large cross-functional/industry-wide engineering efforts.
- 12+ years of experience in programming languages (Python, C++, or Java) with technical background.
- 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods.
Preferred Qualifications:
- Experience in shipping products to millions of customers or have started a new line of product.
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$271,000/year to $347,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$271,000/year to $347,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US