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Machine Learning Defense Jobs in Illinois (NOW HIRING)

IL · On-site

$130K - $155K/yr

... Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at ...

... machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI ...

Data Scientist- TS/SCI

Virginia, IL · On-site

$110 - $210/hr

You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models ... Prior experience in defense is a plus MORSE Corp's salary range for this role carefully considers a ...

New

Leading organizations in defense, offshore energy and oceanographic research rely on OceanComm to ... Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra

Leading organizations in defense, offshore energy and oceanographic research rely on OceanComm to ... Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra

Leading organizations in defense, offshore energy and oceanographic research rely on OceanComm to ... Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra

Agentic AI Developer

O Fallon, IL · On-site

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and maintain models that learn from data to create real-world, mission-critical impacts. In this role, you ...

Agentic AI Developer

O Fallon, IL · On-site

$99K - $225K/yr

As a machine learning engineer on our Defense Technology team, you'll train, test, deploy, and maintain models that learn from data to create real-world, mission-critical impacts. In this role, you ...

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Showing results 1-20

Machine Learning Defense information

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Illinois? For Machine Learning Defense jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Illinois look for? The top searched job categories for Machine Learning Defense jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Defense jobs? Cities in Illinois with the most Machine Learning Defense job openings:

Senior Director, Strategic Solutions - Federal Defense Sector

C3 AI

Virginia, IL • On-site

Full-time

Re-posted 12 days ago


Job description

C3 AI is hiring a Senior Director, Strategic Solutions for our Federal Defense Sector. This is a ground floor opportunity to further develop your career with a rapidly growing leader in Enterprise AI software. You will work with federal defense agencies and senior management to develop high-value AI use cases and AI application roadmaps. You will help defense customers achieve their digital transformation objectives through identifying high-value opportunities.

We are looking for motivated individuals with a hard work ethic and track record of achievement. You will receive a highly competitive salary and excellent benefits along with generous commissions and equity. In addition to strategic sales training, you will be supported by senior management and mentors to help ensure your success.

Candidates should be able to understand complex issues at the intersection of business and technology and communicate that complexity with simplicity. Successful candidates will thrive in a fast-paced, high-performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science.

Responsibilities

  • Develop and execute a comprehensive sales strategy to drive revenue growth within the federal defense sector, targeting defense agencies, departments, and prime contractors.
  • Identify and prioritize key accounts, cultivating relationships with senior-level decision-makers, program managers, and influencers within defense organizations.
  • Understand the unique challenges, requirements, and procurement processes of the federal defense sector, and tailor sales approaches and solutions accordingly.
  • Engage in strategic relationships with defense customers to assure the realization of their digital transformation goals.
  • Develop, maintain, and manage the implementation of strategic defense customer engagement plans.
  • Manage efforts to research and identify customer prospects and targets.
  • Collaborate with sales, engineering, products, and marketing teams to develop new product offerings within existing and new lines of business.
  • Represent C3 AI by driving business development with company alliance partners.
  • Personally engage in strategic account selling, business development, and ongoing customer success.
  • Travel to customer sites up to 50% of the time (or more) depending on business needs.

Qualifications

  • Proven track record of success in sales with a focus on selling SaaS solutions to the federal defense sector.
  • Deep understanding of the defense industry landscape, procurement processes, and acquisition programs.
  • Extensive knowledge of AI technology, data analytics, and their applications within the defense sector.
  • Demonstrated experience in building and nurturing relationships with senior-level decision-makers and influencers within defense organizations.
  • Degree in engineering, science, computer science, or related technical field of study. Master's or MBA degree preferred.  
  • Experience with and understanding of AI and Machine Learning is highly favorable. 
  • Exemplary written and oral communication skills.
  • Excellent interpersonal, planning, and organizational skills.
  • Strong analytical skills.
  • Sales consulting or management consulting experience preferred.

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.