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How much do adversarial machine learning jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for adversarial machine learning in Needham, MA is $23.23, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $24.86 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 job categories do people searching Adversarial Machine Learning jobs in Needham, MA look for? The top searched job categories for Adversarial Machine Learning jobs in Needham, MA are:
What cities near Needham, MA are hiring for Adversarial Machine Learning jobs? Cities near Needham, MA with the most Adversarial Machine Learning job openings:
Adversarial Machine Learning jobs near you
SVP, Head of AI Architecture

SVP, Head of AI Architecture

Fidelity Investments

Boston, MA • On-site

$185K - $400K/yr

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description


As the SVP, Head of AI Architecture, you will serve as a strategic leader responsible for defining and implementing enterprise-wide core and common AI architecture and strategy. This high-impact role bridges innovative AI research with practical, scalable solutions, ensuring all AI initiatives align with Fidelity's strategic enterprise objectives and ethical standards. In close partnership with the peer Head of AI/ML Technology to drive prioritized AI initiatives across the organization. Oversee core AI Architecture from initial design through production deployment and governance, spearheading and enforcing rigorous practices and controls to maintain consistency and reliability. Take a key leadership role in the strategic evaluation and integration of cutting-edge AI and machine learning technologies into Fidelity's architectural roadmap, solidifying the organization's position as a leader in AI innovation and scalable solutions.
This position reports directly to the SVP & CIO, Global Head of Enterprise Data and AI. The preferred locations for this role are Boston, MA; Westlake, TX; or Durham, NC, though flexibility will be considered for highly qualified candidates.
Your responsibilities include:
  • Strategic Vision & Planning: Define the strategic vision and roadmap for AI architecture practice across the enterprise, identifying high-impact opportunities for AI adoption.
  • Architecture Design & Implementation: Lead the design and development of robust, scalable, and secure AI architectures, and integration with existing IT infrastructure.
  • Technical Leadership: Serve as the top technical leader for AI architecture, guiding the selection of appropriate platforms, frameworks, and cloud technologies.
  • Team Leadership & Mentorship: Build, lead, and mentor a multidisciplinary team of Architects fostering a culture of innovation and best practices.
  • Cross-functional Collaboration: Collaborate with architects from various functional domains, executive leadership, engineers, security specialists, and business stakeholders to provide direction for AI solutions and articulate complex technical concepts effectively to non-technical audiences.
  • Innovation & R&D: Stay abreast of emerging AI advancements, such as Generative AI, agentic workflows, and drive innovation through prototyping and validating new technologies.

The Expertise and Skills You Bring
  • A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related STEM field is required.
  • 15 + years of general experience and 10+ years of experience in AI/ML, data science, or software architecture, with proven experience in deploying enterprise-grade AI solutions into production environments.
  • Deep understanding of AI/ML concepts, algorithms, frameworks, and programming languages. Experience with cloud computing and MLOps tools is essential.
  • Proven expertise in LLMs (OpenAI, LLaMA, Claude, Gemini), RAG, agent frameworks (LangChain, LangGraph), fine-tuning (LoRA, QLoRA, PEFT), and prompt management.
  • Strong understanding of security implications related to AI/ML systems (e.g., data privacy, model poisoning, adversarial attacks).
  • Familiarity with various Hyperscaler tools and services is a plus.
  • Ability to drive organizational change by embedding AI/ML architecture practices directly into core technology delivery teams.
  • Experience with major cloud platforms such as Snowflake and AWS (or other public cloud).
  • Strong executive communication & leadership presence, engaging with executive leadership (C-Suite) are required to frequently participate in core initiatives and has broad exposure to executive leadership.
  • Consistent record of operations collaboration and delivery with the ability to build key relationships and influence partners on enterprise objectives.
  • Ability to challenge the status quo and facilitate the exchange and creation of ideas to address business challenges and improve performance.
  • Excellent talent skills and agile operating model experience with ability to develop impactful teams by setting clear goals and holding self and others accountable to standards of excellence.

The Team
You will serve as a senior leader within the Enterprise Technology team, reporting to the Global Head of Enterprise Data and AI function. In this role, you will collaborate with various Business Units, CIOs, Enterprise Architecture, Cybersecurity, Enterprise Analytics Platform, and AI/ML Solutions teams to drive meaningful impact and foster innovation across the $16+ trillion global financial ecosystems.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $185,000-$400,000 per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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Category:
Information Technology

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