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Fraud Detection Machine Learning Jobs in Acushnet, MA

Cisco

Applied AI Scientist

Providence, RI · On-site

Contribute to the research, design, and development of large-scale foundation models for machine ... MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates ...

Panera Bread®

Restaurant Team Member

Hyannis, MA

$12.75 - $16.75/hr

... detect, position. May use a register, slicer, knives, scissors, other machinery, and a computer ... menus, and learning systems to perform most job duties. * Taste/smell detect, distinguish ...

Panera Bread®

Shift Supervisor - Full Time

Hyannis, MA

$16 - $20.25/hr

... detect, position. May use a register, slicer, knives, scissors, other machinery, and a computer ... menus, and learning systems to perform most job duties. * Taste/smell detect, distinguish ...

Panera Bread®

Restaurant Team Member

Plymouth, MA

$13 - $17.25/hr

... detect, position. May use a register, slicer, knives, scissors, other machinery, and a computer ... menus, and learning systems to perform most job duties. * Taste/smell detect, distinguish ...

Panera Bread®

Shift Supervisor - Full Time

Plymouth, MA · On-site

$16.25 - $20.75/hr

... detect, position. May use a register, slicer, knives, scissors, other machinery, and a computer ... menus, and learning systems to perform most job duties. * Taste/smell detect, distinguish ...

Pariseault Builders Inc

Carpenter

Cranston, RI · On-site

$21.25 - $28.75/hr

Inspects ceiling or floor tile, wall coverings, siding, glass or woodwork to detect broken or ... Use hand tools, power tools, machines and other equipment and materials required for construction ...

Evans Capacitor Co

Process Engineer II

East Providence, RI · On-site

$105K - $125K/yr

... and learning by doing. Key Responsibilities: Supplier Quality Management * Select and qualify ... Hearing ability to detect alarms, machinery sounds, or verbal instructions in a noisy environment

Evans Capacitor Co

Process Engineer II

East Providence, RI · On-site

$105K - $125K/yr

... and learning by doing. Key Responsibilities: Supplier Quality Management * Select and qualify ... Hearing ability to detect alarms, machinery sounds, or verbal instructions in a noisy environment

Quantic Evans

Process Engineer II

East Providence, RI · On-site

$105K - $125K/yr

... and learning by doing. Key Responsibilities: Supplier Quality Management * Select and qualify ... Hearing ability to detect alarms, machinery sounds, or verbal instructions in a noisy environment

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Acushnet, MA

Fraud Detection Machine Learning information

See Acushnet, MA salary details

$10

$18

$27

How much do fraud detection machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for fraud detection machine learning in Acushnet, MA is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $19.47 per hour, depending on experience, location, and employer.

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 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 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 is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial 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 cities near Acushnet, MA are hiring for Fraud Detection Machine Learning jobs?

Cities near Acushnet, MA with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you
Infographic showing various Fraud Detection Machine Learning job openings in Acushnet, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $38,009 per year, or $18.3 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Providence, RI • On-site, Remote

$50/hr

Full-time

Re-posted 4 days ago

Key responsibilities

  • Investigate and apply novel algorithms related to the generation and editing of video, sound, and 3D visual geometry.

  • Analyze and develop techniques to identify and mitigate ethical flaws in generative models, including memorization detection and concept erasure.

  • Publish research findings in top-tier conferences related to generative AI and its applications.

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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