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Adversarial Machine Learning Jobs in Topsfield, MA

Motional

Staff Cybersecurity Engineer (Boston)

Boston, MA · On-site

$170K - $232K/yr

Lead comprehensive threat modeling (STRIDE, TARA) on autonomous driving systems, addressing complex attack vectors like GPS spoofing, sensor blinding, and adversarial machine learning. * Design and ...

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Adversarial Machine Learning information

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How much do adversarial machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for adversarial machine learning in Topsfield, MA is $23.10, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $24.71 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 cities near Topsfield, MA are hiring for Adversarial Machine Learning jobs? Cities near Topsfield, MA with the most Adversarial Machine Learning job openings:
Adversarial Machine Learning jobs near you

Artificial Intelligence Senior Security Engineer

Bank of America

Boston, MA • On-site

$124K - $170K/yr

Full-time

Re-posted 25 days ago

Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 525 frontline employees who took The Breakroom Quiz

51st of 170 rated banks

Job description

Job Summary:
Bank of America is committed to helping make financial lives better through the power of every connection. The Cyber Threat Defense AI Security Senior Engineer will drive the integration of advanced AI technologies into the cyber defense ecosystem, focusing on technical innovation and subject matter expertise in AI-driven cybersecurity initiatives.
Responsibilities:
• Partner with GIS operational and technical teams to identify opportunities for AI-driven enhancements to security controls and architecture.
• Drive the technical implementation of the design and deployment of AI-powered tools for threat hunting, anomaly detection, and automated incident response.
• Oversee the development and operationalization of custom ML/LLM models tailored to cybersecurity use cases.
• Guide architectural transformations to support scalable AI integration across the enterprise.
• Act as a technical expert on AI-driven cybersecurity initiatives, mentoring junior engineers and analysts.
• Prototype and evaluate emerging AI technologies for applicability in cyber threat detection and response.
• Serve as a thought leader and subject matter expert on AI in cybersecurity, advising senior leadership and influencing enterprise-wide strategy.
• Ensure responsible and ethical use of AI in security operations, including model governance, bias mitigation, and explainability.
• Collaborate with offensive security teams to develop AI-enhanced red teaming and adversarial emulation capabilities.
• Drive innovation in proactive defense mechanisms using predictive analytics and autonomous threat response.
Qualifications:
Required:
• 7+ years of hands on experience in cybersecurity, preferably Offensive Security or Cyber Threat Operations
• Hands-on experience building agentic AI systems, LLMs, and custom ML model development.
• Experience with enterprise cloud AI development platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex
• Strong understanding of offensive security tactics and how AI can enhance red teaming, attack path mapping, and threat modeling.
• Experience leading large-scale technical projects involving security data pipelines, model deployment, and automation.
• Deep knowledge of cyber threat actor behaviors, attack vectors, and defensive countermeasures.
• Ability to translate complex technical concepts into actionable strategies for senior executives.
• Familiarity with AI governance, model risk management, and regulatory considerations in financial services.
• Experience with modern data platforms, cloud-native architectures, and MLOps frameworks.
• Demonstrated ability to drive consensus across diverse stakeholders and influence enterprise-wide initiatives.
• Strong communication and presentation skills, especially in executive and cross-functional settings.
Preferred:
• Experience with AI-enhanced SOAR (Security Orchestration, Automation, and Response) platforms.
• Familiarity with adversarial machine learning and AI security risks.
• Background in data engineering, feature engineering, and model lifecycle management.
• Experience with open-source AI frameworks (e.g., PyTorch, TensorFlow, LangChain).
• Prior work in regulated industries with a focus on compliance and risk mitigation.
Company:
Bank of America is a financial institution that offers credit cards, home loans, and auto loan services. Founded in 1998, the company is headquartered in Charlotte, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Bank Of America employees say

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Benefits

Hours and flexibility

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1998

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