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Adversarial Machine Learning Jobs in Alabama (NOW HIRING)

Peopletec

Senior RF Engineer / Developer

Huntsville, AL · On-site

... Science, Machine Learning (ML) related initiatives, both in the federal and commercial space ... adversarial cyber and RF threats. The Senior RF Engineer/Developer will lead technical offensive ...

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Adversarial Machine Learning information

What are some common challenges faced by professionals working in Adversarial Machine Learning roles?

Adversarial Machine Learning professionals often face the challenge of staying ahead of rapidly evolving attack techniques that can compromise model integrity and security. Managing the balance between model performance and robustness is another key difficulty, as defenses against adversarial attacks can sometimes reduce accuracy or increase computational costs. Collaboration with data scientists, security teams, and software engineers is vital for developing resilient models and implementing effective defenses. Staying current with the latest research and tools is essential for success in this dynamic field.

What are the key skills and qualifications needed to thrive as an Adversarial Machine Learning specialist, and why are they important?

To excel in Adversarial Machine Learning, you need a strong background in machine learning, deep learning, statistics, and computer science, typically supported by an advanced degree in a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial attack and defense libraries, and knowledge of security protocols are crucial. Creative problem-solving, critical thinking, and strong communication skills help in designing robust models and explaining complex threats to stakeholders. These competencies are vital to anticipate vulnerabilities, safeguard AI systems, and ensure the reliability of machine learning models in real-world applications.

What is the difference between Adversarial Machine Learning vs Data Scientist?

AspectAdversarial Machine LearningData Scientist
CredentialsKnowledge of machine learning, cybersecurity, and threat detectionDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, cybersecurity teams, AI developmentBusiness analytics, data analysis, model development
Industry UsageAI security, cybersecurity, machine learning researchBusiness, finance, healthcare, tech companies

Adversarial Machine Learning focuses on understanding and defending AI models against malicious inputs, often within cybersecurity contexts. Data Scientists analyze data to extract insights, build models, and support decision-making across various industries. While both roles require machine learning knowledge, Adversarial Machine Learning emphasizes security and robustness, whereas Data Scientists focus on data analysis and predictive modeling.

What is adversarial machine learning?

Adversarial machine learning is a field of study focused on understanding and defending against attacks that manipulate machine learning models by feeding them deceptive input, known as adversarial examples. These attacks can cause models to make incorrect predictions, raising concerns about the security and reliability of AI systems, especially in critical applications like image recognition and autonomous vehicles. Researchers in this area develop techniques to detect, prevent, and mitigate these vulnerabilities to make machine learning systems more robust.
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Adversarial Machine Learning jobs near you
AI Subject Matter Expert (SME)

AI Subject Matter Expert (SME)

Geeks and Nerds

Huntsville, AL

Full-time

Posted yesterday

Job description

Wanted - Big Brains & Huge Hearts: We are looking for creative and passionate geeks, nerds, thinkers, tinkerers, and builders.


Geeks and Nerds is an innovative technology company that encourages ingenuity, defies the norm, fosters teamwork, and defines the future for our community and nation.


Come join the company that develops innovative solutions that makes a positive difference in our community and nation. Join a company of significance!


Responsibilities:

  1. Strategic AI Development:
    • Lead the design, development, and implementation of innovative AI/ML solutions tailored to national security challenges, priorities, and growth
    • Provide technical expertise to align AI strategies with government agency requirements and mission objectives across the agencies associated with national security, including but not limited to DoD (Army, Navy, Air Force, Space Force), Homeland Security (DHS), and intelligence agencies
  2. Technical Leadership:
    • Serve as the primary technical advisor on AI-related projects, ensuring the integration of cutting-edge technologies such as machine learning, natural language processing, computer vision, and autonomous systems
    • Collaborate with internal and external cross-functional teams to identify opportunities for AI applications and optimize existing systems and qualifications
  3. Research and Innovation:
    • Conduct research on emerging AI technologies and trends to maintain competitive advantage and relevancy
    • Develop proof-of-concept models and prototypes to demonstrate AI capabilities to collaborators, customers, and stakeholders for further project and product developments
  4. Client Engagement:
    • Develop relationships with other SMEs in the industry and with key government decision makers, providing expert guidance and showcasing the company's AI solutions and their operational impact
    • Prepare and deliver technical presentations, white papers, and reports to communicate AI strategies and results effectively (internally and externally)
  5. Compliance and Security:
    • Ensure all AI solutions comply with federal regulations, including data security, privacy, and ethical AI standards
    • Collaborate with cybersecurity teams and IT to safeguard company AI systems against adversarial threats and maintain relevancy with rapidly changing technologies
  6. Training and Mentorship:
    • Provide training and mentorship to internal teams and government clients (as needed/contracted) on AI technologies and best practices
    • Develop educational materials and workshops to enhance AI literacy within the company

Qualifications:

Required:

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Minimum of 7 years of experience in AI/ML development, with a focus on applications in national security or defense
  • Expert proficiency in:
    • Programming languages (such as Python, R, and Java)
    • ML frameworks (e.g. TensorFlow, PyTorch, or Scikit-learn)
    • Software development collaboration and version control tools (e.g. GitHub)
  • Strong understanding of AI ethics, trust, and responsible decision-making principles
  • Experience with advanced statistical modeling, data analysis, and modeling and simulation for mission-critical systems
  • Flexibility to travel (up to 30% of time) to:
    • Other Geeks and Nerds sites
    • Meet in person with clients/customers/stakeholders
    • Attend industry-relevant meetings/events

Soft Skills:

  • Strong communication and interpersonal skills
  • Proactive, organized self-starter
  • Thrives when working independently and collaboratively with internal and external teams/stakeholders
  • Ability to see the big picture while remaining detail-oriented
  • Willing and able to jump into the work with the team (not just manage)


Preferred:

  • Familiarity with DoD AI initiatives, including JAIC, Trusted AI, and autonomy frameworks
  • Knowledge of DFARS, FAR and compliance requirements
  • Experience with DevSecOps practices and cloud-native AI solutions


Special Requirements:

  • Must be a US Citizen and successfully complete a U.S. government background investigation
  • Must have a Secret clearance or be capable of obtaining an interim Secret clearance


GaN Corporation is an Equal Opportunity Employer. We are pleased to consider all qualified applicants for employment without regard to race, color, gender, sexual orientation, gender identity, religion, national origin, age, marital status, veteran status, disability, genetic information, or any other legally protected classifications. GaN Corporation participates in E-Verify.

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