American Express

Machine Learning Security Engineer

American Express

Phoenix, AZ, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

At American Express, we are looking for a Machine Learning Security Engineer who is passionate about keeping our customers secure and safeguarding our data. Our ideal candidate would be an experienced professional with a deep understanding of machine learning and security principles.The Machine Learning Security Engineer will use their technical expertise to develop innovative solutions to protect our customers and our data. They must be able to design, develop, test, and deploy advanced security tools and technologies to detect, prevent, and respond to security threats.To be successful in this role, the Machine Learning Security Engineer must have a strong background in machine learning, data science, mathematics, and computer science. They should be comfortable working with large datasets, developing complex algorithms, and writing code in a variety of languages. A successful candidate will also have excellent problem-solving skills and be able to think outside the box to identify and address security vulnerabilities.At American Express, we believe in cultivating an atmosphere of collaboration and innovation. We are looking for a Machine Learning Security Engineer who is excited to join our team and help us keep our customers safe.

Responsibilities:

  1. Develop advanced security tools and technologies to detect, prevent, and respond to security threats.
  2. Design and deploy machine learning solutions to protect customers and data.
  3. Utilize machine learning, data science, mathematics, and computer science principles to create solutions.
  4. Work with large datasets and develop complex algorithms.
  5. Write code in a variety of languages.
  6. Analyze and identify security vulnerabilities.
  7. Utilize problem-solving skills to develop innovative solutions.
  8. Collaborate with team members to cultivate an atmosphere of collaboration and innovation.
Where is this job?
This job is located at Phoenix, AZ, USA
Job Qualifications
  • Experience With Machine Learning Algorithms

  • Knowledge Of Security Protocols And Best Practices

  • Knowledge Of Programming Languages Such As Python

  • Familiarity With Distributed Systems

  • Knowledge Of Big Data Frameworks

  • Experience With Cloud Computing

  • Knowledge Of Data Encryption And Decryption Techniques

  • Experience With Security Analytics Tools

Required Skills
  • Programming

  • Data Analysis

  • Network Security

  • Machine Learning

  • Cloud Computing

  • Data Mining

  • Data engineering

  • Threat Analysis

  • Data collection

  • Security analysis

  • Risk assessment

  • Network architecture

  • cybersecurity

  • Security engineering

  • System Auditing

Soft Skills
  • Communication

  • Leadership

  • Negotiation

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Machine Learning Security Engineer in Phoenix, AZ, USA is $101,277 to $134,865 per year. Salaries may vary depending on experience, qualifications, and employer.

Additional Information
American Express is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedOctober 26th, 2023
Apply BeforeMay 22nd, 2025
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About American Express

American Express Co. operates as a global services company, which engages in the provision of credit card, financial, and global travel services. It operates through the following business segments: U.S. Card Services, International Card Services, Global Commercial Services, Global Network & Merchant Services, and Corporate.

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