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Machine Learning Defense Jobs in New York (NOW HIRING)

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Staff Backend Engineer - AI

New York, NY

$200K - $250K/yr

You'll join a small in-person team in NYC with deep experience from defense tech and AI who've ... This Staff Backend Engineer will build the foundational infrastructure for our machine learning ...

Tagup

Product Manager

Manhattan, NY · On-site

... AI, machine learning, optimization, decision-support tools, or data products. • Experience ... defense contractor experience. • Experience working with forward-deployed engineering, field ...

Deloitte

Cyber Consultant - AI SOC

New York, NY · On-site

Experience applying artificial intelligence, machine learning, or large language model workflows to ... As a Consultant - Cyber Defense and Resilience, you will support the design and deployment of ...

PhysicsX

Principal CFD Engineer

Manhattan, NY · On-site

$100 - $130/hr

  • Retirement

  • PTO

Due to the nature of our aerospace and defense work, this position is open to US citizens only. This Role In this role, you'll work closely with our Data Scientists, Machine Learning Engineers, and ...

Deloitte

Cyber Manager - AI SOC

Morristown, NJ · On-site

$114K - $154K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Deloitte

Cyber Manager - AI SOC

Jersey City, NJ · On-site

$115K - $156K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Deloitte

Cyber Senior Consultant - AI SOC

Stamford, CT · On-site

As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Deloitte

Cyber Manager - AI SOC

New York, NY

$121K - $164K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Paramount

Software Engineer, Content Engineering

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview and Responsibilities The Applied Machine Learning Group is seeking a Software Engineer to ... like defensive coding at ingestion boundaries, instrumentation to surface anomalies early, and ...

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Showing results 41-60

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Machine Learning Defense information

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 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 are popular job titles related to Machine Learning Defense jobs in New York?

For Machine Learning Defense jobs in New York, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in New York look for?

The top searched job categories for Machine Learning Defense jobs in New York are:

What cities in New York are hiring for Machine Learning Defense jobs?

Cities in New York with the most Machine Learning Defense job openings:

Machine Learning Defense jobs near you
Infographic showing various Machine Learning Defense job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Offensive Security Researcher, Kernel & Embedded Security

Apple

New York, NY

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 6 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's Security Engineering & Architecture organization is responsible for the security of all Apple products. Passionate about safeguarding our users, we take an offensive approach to defense - finding and fixing vulnerabilities before they can be exploited. When it comes to securing more than a billion devices running the world's most sophisticated operating systems, that means finding vulnerabilities first.
Can you make a difference on this scale? Join our extraordinary team of security researchers and help protect all Apple users.
Description
We engage in various activities, including vulnerability research, binary exploitation, security tooling development, fuzzing, machine learning, and many more. By developing and harnessing state-of-the-art technologies, we amplify our impact on Apple's product security.
In this role, your primary focus will be on the kernel and embedded layers of Apple platforms. You will conduct offensive security research across operating system kernels, boot ROMs, firmware, secure enclaves, and other low-level components that form the foundation of our security architecture. You will work in cross-functional teams alongside other researchers and engineering teams to evaluate and strengthen the most privileged layers of our products.
This job is for individuals with outstanding technical skills, grit, and a genuine passion for breaking systems - so we can build them stronger.
If this is you, we'd love to hear from you.
Preferred Qualifications
Deep knowledge of kernel internals, including virtual memory management, system call interfaces, and driver frameworks
Experience with firmware and boot ROM security analysis, including secure boot chains and hardware trust anchors
Familiarity with embedded processors and coprocessors security (e.g., Secure Enclave, DMA-capable peripherals, baseband)
Fluency with tool development, using programming languages such as C, C++, Python, Swift, or Objective-C
Experience with reverse-engineering techniques and tools like IDA or Ghidra
Knowledge of Apple operating systems like iOS or macOS is nice-to-have, but not required
Minimum Qualifications
Proven experience in vulnerability research targeting operating system kernels, firmware, or embedded components
Strong understanding of low-level vulnerability classes and exploitation techniques, such as memory corruption, race conditions, and use-after-free
Ability to apply AI techniques and tools, such as LLMs or Machine Learning, for security research
Outstanding collaboration skills
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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Benefits

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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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