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Machine Learning Defense Jobs in Queens, NY (NOW HIRING)

... defense, aerospace, or security-related domain. • Proficiency in one or more programming ... machine learning concepts is highly desirable. • Excellent problem-solving skills and a strong ...

Staff Backend Engineer - AI

New York, NY · On-site

$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 ...

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

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 ...

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 ...

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 ...

Cyber Manager - AI SOC

Jersey City, NJ

$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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Machine Learning Defense information

See Queens, NY salary details

$26.6K

$44.4K

$91.8K

How much do machine learning defense jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning defense in Queens, NY is $44,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

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 Queens, NY?

For Machine Learning Defense jobs in Queens, NY, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Queens, NY look for?

The top searched job categories for Machine Learning Defense jobs in Queens, NY are:

What cities near Queens, NY are hiring for Machine Learning Defense jobs?

Cities near Queens, NY with the most Machine Learning Defense job openings:

General Software Engineer

ZeroMark, Inc.

Manhattan, NY • On-site

Full-time

Re-posted 10 days ago


Job description

Job Summary:
ZeroMark, Inc. builds AI-driven counter-drone systems that work in combat, focusing on practical technology that saves lives. The General Software Engineer will design and develop software solutions for counter-drone systems, collaborating with various teams to ensure system performance and reliability.
Responsibilities:
• Design, develop, test, and deploy robust and scalable software solutions for counter-drone systems.
• Collaborate with cross-functional teams, including hardware engineers, data scientists, and subject matter experts, to define system requirements and architecture.
• Implement algorithms for drone detection, tracking, identification, and mitigation.
• Optimize software for real-time performance and resource efficiency in embedded and distributed environments.
• Participate in code reviews, contribute to architectural discussions, and maintain high code quality standards.
• Troubleshoot and debug software issues, ensuring system reliability and performance.
• Stay up-to-date with emerging technologies and industry best practices in software development and counter-drone capabilities.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven experience in software development, preferably in a defense, aerospace, or security-related domain.
• Proficiency in one or more programming languages such as C++, Python, or Java.
• Strong understanding of data structures, algorithms, and object-oriented design principles.
• Experience with embedded systems, real-time operating systems (RTOS), or distributed systems is a plus.
• Familiarity with signal processing, computer vision, or machine learning concepts is highly desirable.
• Excellent problem-solving skills and a strong analytical mindset.
• Ability to work effectively in a fast-paced, collaborative team environment.
• U.S. citizenship is required due to government contract requirements.
Preferred:
• Experience with sensor integration (e.g., radar, optical, acoustic).
• Knowledge of communication protocols and networking.
• Familiarity with cybersecurity principles and secure coding practices.
• Experience with Agile development methodologies.
Company:
ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel. Founded in 2022, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.