General Motors

Cybersecurity AI_ML Engineer

General Motors • $90K — $130K *
Irving, TX 75061In-Person
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Cybersecurity, Data Science, or related fields
  • Demonstrated success in project management
  • Advanced knowledge of machine learning techniques and statistical modeling
  • Expert in Python for data science and machine learning
  • Solid understanding of IT security processes and controls
  • Preferred experience with AI/ML certifications
  • Required Bachelor's Degree in Cybersecurity, Computer Science, Data Science or equivalent experience

Responsibilities

  • Develop and deploy security technologies including SIEM and IDS/IPS
  • Perform analysis of system logs to detect unauthorized access
  • Create and communicate security metrics to leadership
  • Participate in emergency response and security incident activities
  • Recommend and evaluate security tools for effectiveness
  • Develop machine learning models for threat detection
  • Monitor performance and accuracy of deployed ML models

Benefits

  • 401K matching
  • Bonding leave for new parents (12 weeks, 100% paid)
  • Tuition assistance
  • Training programs
  • GM employee auto discount
  • Community service pay
  • Nine company holidays
Full Job Description
Job Description

Responsibilities

About the Role:

The Cybersecurity AI_ML Engineer is responsible for developing, deploying, monitoring, tuning, evaluating, reporting and maintaining systems and procedures; and to identify and mitigate threats to the corporate network, corporate assets and corporate users. This team member will identify core requirements, design and implement security technologies and work with stakeholders to perform ongoing tuning and alerting on those technologies. This role also incorporates advanced AI and machine learning methodologies to transform cybersecurity data into scalable detection capabilities, enhance analytics, and improve threat detection under complex and adversarial conditions.

In this role you will:
  • Prepares technical requirements and standards
  • Assists in the identification, engineering and designing of security technologies including, but not limited to: Security Incident and Event Managers (SIEM) and threat intelligence solutions, Intrusion Detection and Prevention Systems (IDS/IPS), Endpoint security solutions, Web Application Firewalls (WAF), Cloud Security, VPNs and Firewalls
  • Performs analysis of system logs to identify unauthorized use or access
  • Creates, analyzes and communicates security metrics to leadership
  • Participates in emergency response and security incident activities
  • Recommends and evaluates security tools to identify more efficient and effective security measures
  • Develops and deploys machine learning models for threat detection (anomaly detection, classification)
  • Builds feature engineering pipelines from security telemetry (logs, endpoint, network data)
  • Implements and manages ML model training, experimentation and tuning workflows
  • Deploys ML models using containerized environments (Docker, Kubernetes)
  • Monitors model performance, drift and detection accuracy in production
  • Applies AI-driven insights to threat hunting and incident response
  • Collaborates with engineering and infrastructure teams to support scalable ML-enabled security systems


Qualifications

What makes you an ideal candidate?
  • Strong knowledge of networking concepts, protocols, and infrastructure security
  • Advanced knowledge in Infrastructure design and management
  • Working knowledge of management processes such as personnel administration, planning and budgeting
  • Strong working knowledge of Intel platforms, iSeries and pSeries servers
  • Advanced understanding of IT Service Management (ITSM) best practices and processes
  • Experience with UML Design Tools
  • Advanced knowledge of TCP/IP, OSI model and imp subnetting
  • High level understanding of technology infrastructure, security concepts and platforms
  • Deep understanding of machine learning techniques including anomaly detection and statistical modeling
  • Experience with unsupervised, semi-supervised and advanced modeling approaches
  • Strong foundation in probability, statistics and data analysis
  • Experience designing experiments, validation strategies and evaluating model performance
  • Expert-level Python for data science and machine learning (e.g., pandas, scikit-learn, PySpark)
  • Experience with large-scale data processing and distributed data systems
  • Ability to translate ambiguous cybersecurity problems into measurable analytical solutions
  • Understanding of adversarial ML concepts and model robustness (preferred)
  • Experience with LLMs, deep learning or AI-assisted detection (preferred)
  • Demonstrated success in project management
  • Advanced knowledge of the OSI model and security that is associated with each layer
  • Understanding of routing and switching protocols as they relate to load balancing
  • Strong understanding of application layer protocols including HTTP, SSH, SSL and DNS
  • Communicates quickly, clearly, concisely, appropriately and intelligently
  • Foster open communication, speaks with impact, listens to others and writes effectively
  • Ability to effectively negotiate with vendors on upgrades and acquisitions
  • Effective planning, time management, negotiation and delegation skills
  • Expert level IT security processes and controls knowledge as well as IT infrastructure and networking technical knowledge
  • Ability to approach problems with an open-mind and create new and innovative ideas and methods
  • Advanced technical writing
  • Experience in documentation tools such as Visio and Microsoft Office products
  • Advanced information security standards/frameworks (i.e., NIST Cybersecurity Framework, ISO 27001) skills
  • Advanced experience with Network and VLAN segmentation
  • Strong analytical skills
  • Ability to approach problems with an open-mind, use existing information and resources
  • Creative, innovative, problem-solving and maximizing your potential to solve problems and improve methods
  • Think positively when faced with obstacles, build on others ideas, think logically and intuitively
  • Detailed oriented


Work Experience
  • 1-5 years of experience in large and complex business environments with a successful track record working directly with senior level management preferred
  • 1-5 years of experience in one or more of the following domains: Cybersecurity, Information Security, Data Science or related field.
  • 1-3 years of experience with developing or supporting machine learning models in a security context preferred.
  • High School Diploma or equivalent required
  • Bachelor's Degree in Cybersecurity, Computer Science, Data Science or related field or equivalent work experience strongly preferred


Licenses and Certifications
  • One or more security related certifications, such as CISSP, CCNP-Security, GIAC, CEH, or CPTS highly preferred
  • AI/ML certifications are a plus.


What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Compensation: Competitive pay and bonus eligibility.

Work Life Balance: Flexible hybrid work environment, 4-days a week in Las Colinas office.

NOTE:We are unable to consider candidates who require visa sponsorship for this position

This position is not open to agency submissions

#LI-hybrid

#LI-MH1

#GMFJobs

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

Keep Up to Date

Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who drive success at General Motors.

Job Alert Emails

Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at General Motors

More Information Technology Jobs

Find similar Cybersecurity AI_ML Engineer jobs:

NationwideIrving, TX