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Software Engineer Fraud Detection Jobs in Idaho (NOW HIRING)

Wafer Probe Integration Engineer

Boise, ID

$99K - $133K/yr

... 3. 3D CAD software 4. Semiconductor processes and semiconductor test flexibility 5. Program ... Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the ...

Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield ... Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the ...

... software, electrical, control, and mechanical engineers). Create documentation for your designs ... Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Machine Learning Tutor

Rexburg, ID · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Develop and maintain software on both Linux and Windows platforms and develop software for ... We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding ...

Java Developer

Boise, ID · On-site

$48.50 - $62.75/hr

A Java developer is someone who utilizes Java, one of the most widely used and versatile ... to detect potential issues and propose solutions. Testing and debugging Verify software ...

Showing results 21-40

Software Engineer Fraud Detection information

What does a software engineer fraud detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

How does a software engineer fraud detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.

What are the key skills and qualifications needed to thrive as a software engineer fraud detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What are popular job titles related to Software Engineer Fraud Detection jobs in Idaho?

For Software Engineer Fraud Detection jobs in Idaho, the most frequently searched job titles are:

What job categories do people searching Software Engineer Fraud Detection jobs in Idaho look for?

The top searched job categories for Software Engineer Fraud Detection jobs in Idaho are:

Infographic showing various Software Engineer Fraud Detection job openings in Idaho as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Wafer Probe Integration Engineer

Boise, ID


Micron
Semiconductor and Electronic Component Manufacturing • 10K+ employees

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

28th of 159 rated electronics manufacturers

People enjoy working here

Good employer

Paid breaks


$99K - $133K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 days ago


Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Deploy first-of-a-kind equipment and process capabilities through evaluations of Wafer Probers, Testers & Probe Cards Collaborate with global teams to establish and implement best-known methods for wafer probe. Engage equipment suppliers & vendors to address issues of quality and performance. Establish manufacturing metrics to drive continuous improvement of equipment performance and processes. Develop and deploy new methods or processes as vital to resolve manufacturing issues. Generate equipment specifications to meet safety and capability requirements of global manufacturing environments. Perform statistical analysis of manufacturing data to ensure that processes meet required quality standards. Effectively prepare and present information to manufacturing teams and Engineering Managers. Maintain a strong collaborative relationship with peer groups in other functional areas including Manufacturing, Test Engineering, Process Engineering, and Quality Assurance. Initiate and chair meetings with global manufacturing sites in support of your objectives. Position requires international travel.

Employer will accept a Master's degree in Mechanical Engineering, Electrical Engineering or a related field. Position also requires:
1. Mechanical and electrical engineering fundamentals
2. Statistics, data analysis, and design of experiments
3. 3D CAD software
4. Semiconductor processes and semiconductor test flexibility
5. Program management

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.



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