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Adversarial Machine Learning Jobs in Santa Clara, CA

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Description We are looking for a highly skilled Machine Learning Engineer to join our Search Safety ... Experience in red-teaming, adversarial training, or robustness evaluation of ML models. Building ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA

$175K - $263K/yr

Description We are looking for a highly skilled Machine Learning Engineer to join our Search Safety ... Experience in red-teaming, adversarial training, or robustness evaluation of ML models. Building ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA

$175K - $263K/yr

Description We are looking for a highly skilled Machine Learning Engineer to join our Search Safety ... Experience in red-teaming, adversarial training, or robustness evaluation of ML models. Building ...

MindSource

Machine Learning Engineer

Cupertino, CA · On-site

Job Summary : MindSource is seeking a Machine Learning Engineer to join their Strategic Data ... adversarial trends, identify behavior patterns, and respond with agile logic changes • ...

Rubrik

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

They are seeking a Senior Machine Learning Engineer to work on their Semantic AI Governance Engine ... adversarial agents and automated red-teams whose outputs feed directly into the next training run ...

OKX

Staff Machine Learning Engineer

San Jose, CA · On-site

About The Opportunity Building machine learning systems for risk at a global crypto exchange is ... The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud ...

OKX

Staff Machine Learning Engineer

San Jose, CA

About The Opportunity Building machine learning systems for risk at a global crypto exchange is ... The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud ...

PayPal

Sr Machine Learning Engineer

San Jose, CA · On-site

$159K - $236K/yr

This job will design, develop, and implement machine learning models and algorithms to solve ... adversarial conditions * Published research is a plus - but shipping code matters more than ...

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Adversarial Machine Learning information

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How much do adversarial machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for adversarial machine learning in Santa Clara, CA is $25.05, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $26.83 per hour, depending on experience, location, and employer.

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 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 are popular job titles related to Adversarial Machine Learning jobs in Santa Clara, CA?

For Adversarial Machine Learning jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Adversarial Machine Learning jobs in Santa Clara, CA look for?

The top searched job categories for Adversarial Machine Learning jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Adversarial Machine Learning jobs?

Cities near Santa Clara, CA with the most Adversarial Machine Learning job openings:

Adversarial Machine Learning jobs near you
Infographic showing various Adversarial Machine Learning job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,102 per year, or $25 per hour.

Sr. Machine Learning Engineer

Apple

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 22 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Do you want to make Siri and Apple products safer for our users? The Siri and Information Intelligence team
is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more. We are deeply committed to ensuring that our platform remains a safe, welcoming, and trustworthy environment for everyone.
Description
We are looking for a highly skilled Machine Learning Engineer to join our Search Safety team. In this role, you will build and deploy state-of-the-art machine learning models designed to detect, demote, and filter harmful, abusive, or policy-violating content across our search ecosystem. You will work at the intersection of Search, Natural Language Processing (NLP), Image and Trust & Safety, addressing complex challenges like query intent understanding, adversarial evasion, jailbreaking, and multimodal content filtering. If you are passionate about protecting users and building robust ML systems at scale, we want you on our team.
Minimum Qualifications
3+ years of industry related experience, working in collaborative environments
Experience with utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models
Understanding product requirements then translating them into modeling tasks and engineering tasks
Proficient in at least two programing languages such as: Python, Go, Java, C/C++
BS in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related field or equivalent work experience
Preferred Qualifications
Experience working on content moderation, spam detection, fraud, or Trust & Safety ML teams.
Experience in red-teaming, adversarial training, or robustness evaluation of ML models.
Building machine-learned models and integrating safety signals directly into the search ranking and retrieval pipelines, balancing safety constraints with search relevance and user engagement.
MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related fieldor equivalent work experience

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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