ZipRecruiter

Log In

1

Adversarial Machine Learning Jobs in Cambridge, MA

Pwc

AI Engineer

Boston, MA · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output ...

previous pagenext page

Showing results 21-40

All JobsAdversarial Machine Learning JobsAdversarial Machine Learning Jobs in Cambridge, MA

Adversarial Machine Learning information

See Cambridge, MA salary details

$16

$23

$28

How much do adversarial machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for adversarial machine learning in Cambridge, MA is $23.31, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $24.95 per hour, depending on experience, location, and employer.

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.
What are popular job titles related to Adversarial Machine Learning jobs in Cambridge, MA? For Adversarial Machine Learning jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Adversarial Machine Learning jobs in Cambridge, MA look for? The top searched job categories for Adversarial Machine Learning jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Adversarial Machine Learning jobs? Cities near Cambridge, MA with the most Adversarial Machine Learning job openings:
Adversarial Machine Learning jobs near you
Infographic showing various Adversarial Machine Learning job openings in Cambridge, MA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,488 per year, or $23.3 per hour.

AI/ML Programming with Security Clearance

MIT Lincoln Laboratory

Lexington, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Are you excited to contribute to world-class research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50 years of experience developing revolutionary technologies for critical national missions. Group 52 AI Technology & Systems Group specializes in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data-including speech, text, images, and video. In recent years, we have significantly expanded our mission to include developing impactful ML solutions for cybersecurity in collaboration with the Nation's top cyber organizations. As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and driving the Laboratory's efforts in AI Assurance across the Department of Defense and the Intelligence Community. We also integrate expertise in multimedia, cyber, and AI assurance to develop cutting-edge technologies for Operations in the Information Environment (OIE). A hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into real-world, mission-critical systems. Job Description Our staff members: * Design, program, and architect advanced ML methods. * Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics. * Publish and present research at premier conferences. The AI Technology and Systems Group is seeking motivated applicants that can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include: * Research on state-of-the-art algorithms in signal processing, natural language processing, graph analytics, or adversarial AI. * Applying innovative methods to challenging, real-world problems. * Working in a collaborative, team-oriented development environment. This is an opportunity to apply your skills to some of the most important technical challenges of our time-while learning from and contributing to a world-class research community. Requirements Candidates who possess an B.S. in electrical engineering, computer science or other relevant discipline will be considered. Desired Skills: * Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience. * Proficient programmer - comfortable writing modular code; familiar with at least one major ML library (PyTorch, TensorFlow, etc.) and data handling libraries (NumPy, pandas, etc.). * Hands-on experience with rapid-prototyping and AI frameworks - exposure to agentic/LLM-oriented toolkits (e.g., MCP), integration with both commercial and locally-hosted AI models. * Software engineering best practices; version-control, collaborative coding - basic Git workflow (branching, pull requests, code reviews) and familiarity with issue-tracking. * Strong problem-solving mindset - can take a research concept, break it into implementable components, and iterate quickly based upon experimental results. * Detail oriented, able to multi-task, and with the ability to work autonomously given direction. * Effective written and oral communications skills in technical environments, technical notes and documentation. * Current TS/SCI clearance or willingness to obtain one. Recent Graduate Hiring Range: $100,200 - $120,000
Experienced Hiring Range: $100,200 - $150,000 Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: * Comprehensive health, dental, and vision plans * MIT-funded pension * Matching 401K * Paid leave (including vacation, sick, parental, military, etc.) * Tuition reimbursement and continuing education programs * Mentorship programs * A range of work-life balance options * ... and much more! Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks . Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. Requisition ID: 42939

Apply