Background in fraud detection, risk modeling, or security-focused machine learning. Familiarity with iOS development. We're open to a range of specializations and are excited by candidates who bring ...
Background in fraud detection, risk modeling, or security-focused machine learning. Familiarity with iOS development. We're open to a range of specializations and are excited by candidates who bring ...
Background in fraud detection, risk modeling, or security-focused machine learning. Familiarity with iOS development. We're open to a range of specializations and are excited by candidates who bring ...
Background in fraud detection, risk modeling, or security-focused machine learning. Familiarity with iOS development. We're open to a range of specializations and are excited by candidates who bring ...
Background in fraud detection, risk modeling, or security-focused machine learning. Familiarity with iOS development. We're open to a range of specializations and are excited by candidates who bring ...
Background in fraud detection, risk modeling, or security-focused machine learning. Familiarity with iOS development. We're open to a range of specializations and are excited by candidates who bring ...
Fraud Abuse Specialist, Digital Fraud & Abuse
$100K - $215K/yr
... models that detect suspicious activity throughout GEICO's business sector or use industry ... You'll apply advanced data analysis skills-including SQL, Python, machine learning, and data ...
Fraud Abuse Specialist, Digital Fraud & Abuse
$100K - $215K/yr
... models that detect suspicious activity throughout GEICO's business sector or use industry ... You'll apply advanced data analysis skills-including SQL, Python, machine learning, and data ...
Machine Learning Engineer - NJ
$54 - $71.50/hr
Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection. Data Engineering and Preparation: * Extend and ...
Machine Learning Engineer - NJ
$54 - $71.50/hr
Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection. Data Engineering and Preparation: * Extend and ...
Anti-Fraud Manager
Dublin, OH · On-site +1
... and machine learning. * Reviews and evaluates all available information to assess the ... fraud detection, prevention, and suspect claim handling measures. * Represents the Company at ...
Anti-Fraud Manager
Dublin, OH · On-site +1
... and machine learning. * Reviews and evaluates all available information to assess the ... fraud detection, prevention, and suspect claim handling measures. * Represents the Company at ...
Machine Learning Engineer - NJ
Addison, TX · On-site
$54 - $71.50/hr
Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection. Data Engineering and Preparation: * Extend and ...
Machine Learning Engineer - NJ
Addison, TX · On-site
$54 - $71.50/hr
Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection. Data Engineering and Preparation: * Extend and ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or ...
Machine Learning Tutor
Brownsville, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Brownsville, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Plano, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Plano, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Sugar Land, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Sugar Land, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Amarillo, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Amarillo, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
San Marcos, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
San Marcos, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Allen, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Allen, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Austin, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Austin, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Carrollton, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Carrollton, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Dallas, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Dallas, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Grand Prairie, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Grand Prairie, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Corpus Christi, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Corpus Christi, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Missouri City, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Missouri City, TX · Remote
$18 - $40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Fraud Detection Machine Learning information
See Texas salary details
$10.08 - $11.44
4% of jobs
$11.44 - $12.81
9% of jobs
$13.85 is the 25th percentile. Wages below this are outliers.
$12.81 - $14.17
15% of jobs
$14.17 - $15.53
20% of jobs
The median wage is $15.65 / hr.
$15.53 - $16.90
19% of jobs
$17.52 is the 75th percentile. Wages above this are outliers.
$16.90 - $18.26
17% of jobs
$18.26 - $19.63
7% of jobs
$19.63 - $20.99
4% of jobs
$20.99 - $22.35
2% of jobs
$22.35 - $23.72
1% of jobs
$23.72 - $25.08
1% of jobs
$10
$16
$25
How much do fraud detection machine learning jobs pay per hour?
As of Jul 23, 2026, the average hourly pay for fraud detection machine learning in Texas is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $17.93 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 are popular job titles related to Fraud Detection Machine Learning jobs in Texas? For Fraud Detection Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Texas look for? The top searched job categories for Fraud Detection Machine Learning jobs in Texas are:
What cities in Texas are hiring for Fraud Detection Machine Learning jobs? Cities in Texas with the most Fraud Detection Machine Learning job openings:
Full-time
Posted 6 days ago
Apple rating
8.0
Based on 673 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
Are you motivated to protect users and their accounts while delivering the best possible customer experience? Come join the Wallet Intelligence and Machine Learning team, where we help secure users' digital lives across Apple's devices without sacrificing privacy. Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud-prevention methods available to make Apple products, and especially Apple Pay and Apple Wallet, the safest platform people can use.
The On Device Insights team at Apple develops machine learning models that run directly on users' devices to protect them from fraud, holding themselves to an exceptionally high bar for privacy. As part of the Wallet Intelligence and Machine Learning team, you will help secure users' digital lives across Apple's devices - including Apple Pay and Apple Wallet - without sacrificing privacy. This is a mission-driven team that thrives on hard problems, healthy skepticism, and open collaboration.
Description
We are looking for a Machine Learning Engineer to help develop and launch on-device technologies that keep our users safe, working closely with engineering, security, program management, and business partners.
Our work is applied and pragmatic by necessity. Models must run in real time and in the background on the device without slowing down something as simple as an in-app purchase, which means designing within real constraints like model size, inference budgets, and memory. Because we often need to anticipate fraud rather than react to each new pattern as it appears, we have to be proactive and think ahead. This role is a chance to take ownership of a problem area, build a system-wide understanding of where our models fit, and apply your expertise in machine learning in an innovative and fast-moving environment.
If you're energized by ambiguity, motivated by a meaningful mission, and the kind of person who digs beneath the surface and questions your own assumptions before forming a recommendation, we'd love to hear from you.
Minimum Qualifications
Experience with machine learning methods such as classification, clustering, and anomaly detection.
Strong programming skills in one or more languages such as Python, Scala, or Java.
Experience processing and analyzing data at scale using distributed data or compute frameworks.
Ability to communicate the results of analysis clearly and succinctly to a range of audiences.
Experience delivering results on ambiguous, loosely defined problems, working with others.
Rigorous analytical thinking, including the ability to question assumptions, reason through a problem, and justify a recommendation with sound evidence.
Preferred Qualifications
Experience deploying machine learning in resource-constrained or real-time environments, such as on-device deployment, model compression, or optimizing for inference budgets.
Experience with distributed data and compute frameworks such as Spark, Ray, or Daft.
Familiarity with privacy-preserving machine learning techniques.
Background in fraud detection, risk modeling, or security-focused machine learning.
Familiarity with iOS development.
We're open to a range of specializations and are excited by candidates who bring a differentiating strength to the team, whether that's a research background, deep systems thinking, or expertise we don't yet have. Tell us what you'd add.
The On Device Insights team at Apple develops machine learning models that run directly on users' devices to protect them from fraud, holding themselves to an exceptionally high bar for privacy. As part of the Wallet Intelligence and Machine Learning team, you will help secure users' digital lives across Apple's devices - including Apple Pay and Apple Wallet - without sacrificing privacy. This is a mission-driven team that thrives on hard problems, healthy skepticism, and open collaboration.
Description
We are looking for a Machine Learning Engineer to help develop and launch on-device technologies that keep our users safe, working closely with engineering, security, program management, and business partners.
Our work is applied and pragmatic by necessity. Models must run in real time and in the background on the device without slowing down something as simple as an in-app purchase, which means designing within real constraints like model size, inference budgets, and memory. Because we often need to anticipate fraud rather than react to each new pattern as it appears, we have to be proactive and think ahead. This role is a chance to take ownership of a problem area, build a system-wide understanding of where our models fit, and apply your expertise in machine learning in an innovative and fast-moving environment.
If you're energized by ambiguity, motivated by a meaningful mission, and the kind of person who digs beneath the surface and questions your own assumptions before forming a recommendation, we'd love to hear from you.
Minimum Qualifications
Experience with machine learning methods such as classification, clustering, and anomaly detection.
Strong programming skills in one or more languages such as Python, Scala, or Java.
Experience processing and analyzing data at scale using distributed data or compute frameworks.
Ability to communicate the results of analysis clearly and succinctly to a range of audiences.
Experience delivering results on ambiguous, loosely defined problems, working with others.
Rigorous analytical thinking, including the ability to question assumptions, reason through a problem, and justify a recommendation with sound evidence.
Preferred Qualifications
Experience deploying machine learning in resource-constrained or real-time environments, such as on-device deployment, model compression, or optimizing for inference budgets.
Experience with distributed data and compute frameworks such as Spark, Ray, or Daft.
Familiarity with privacy-preserving machine learning techniques.
Background in fraud detection, risk modeling, or security-focused machine learning.
Familiarity with iOS development.
We're open to a range of specializations and are excited by candidates who bring a differentiating strength to the team, whether that's a research background, deep systems thinking, or expertise we don't yet have. Tell us what you'd add.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976