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Cyber Security Machine Learning Jobs in New York

Deloitte

Google Cloud Security Senior Manager

New York, NY · On-site

$121K - $164K/yr

... cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever ... and machine learning services, Google Kubernetes Engine (GKE), data protection, encryption, and ...

Deloitte

Google Cloud Security Senior Manager

Jericho, NY · On-site

$115K - $155K/yr

... cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever ... and machine learning services, Google Kubernetes Engine (GKE), data protection, encryption, and ...

Deloitte

Google Cloud Security Senior Manager

Morristown, NJ · On-site

$114K - $154K/yr

... cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever ... and machine learning services, Google Kubernetes Engine (GKE), data protection, encryption, and ...

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All JobsCyber Security Machine Learning JobsCyber Security Machine Learning Jobs in New York

Cyber Security Machine Learning information

See New York salary details

$66.2K

$158K

$210.6K

How much do cyber security machine learning jobs pay per year?

As of Jul 27, 2026, the average yearly pay for cyber security machine learning in New York is $158,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,900.00 and $179,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Cyber Security Machine Learning position, and why are they important?

To excel in a Cyber Security Machine Learning role, you need strong knowledge of cybersecurity principles, machine learning algorithms, programming skills (e.g., Python), and typically a degree in computer science or a related field. Experience with cybersecurity tools (SIEMs, IDS/IPS), machine learning frameworks (such as TensorFlow or PyTorch), and relevant certifications like CISSP or CEH is highly valuable. Problem-solving ability, analytical thinking, and effective communication are standout soft skills for this role. These competencies are vital to proactively identify, analyze, and mitigate evolving cyber threats using advanced automated techniques.

What are the typical challenges faced in a Cyber Security Machine Learning position?

Professionals in Cyber Security Machine Learning often face the challenge of balancing the accuracy and performance of machine learning models with real-time threat detection needs. Adapting models to evolving and sophisticated cyber threats requires continuous learning and data refinement, as well as collaboration with cybersecurity analysts to validate findings. Additionally, handling large-scale datasets and maintaining data privacy can be complex. However, these challenges make the work intellectually rewarding and provide ample opportunities for professional growth in a constantly evolving technology landscape.

What is a Cyber Security Machine Learning job?

A Cyber Security Machine Learning job involves applying machine learning techniques to detect, prevent, and respond to cyber threats. Professionals in this field develop and train models to analyze patterns in network traffic, detect anomalies, and identify potential security breaches. They work with large datasets, security logs, and threat intelligence to automate threat detection and improve defense systems. This role requires expertise in cybersecurity, machine learning, and programming languages like Python. It is crucial in modern security operations to enhance real-time threat detection and reduce response times.

Cyber Security Machine Learning jobs near you
Infographic showing various Cyber Security Machine Learning job openings in New York as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $158,046 per year, or $76 per hour.

Founding Machine Learning Engineer

Adaptive Security

Manhattan, NY • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
Adaptive Security is a cybersecurity startup focused on preventing AI-powered cyberattacks. They are seeking a Founding Machine Learning Engineer to define and build their ML capabilities, including establishing infrastructure and leading the ML team to detect and respond to cybersecurity threats in real time.
Responsibilities:
• Define Adaptive's ML strategy: where ML should be applied across our products, what infrastructure we need, and how we should approach build vs. buy decisions.
• Design and build production ML systems end-to-end — data pipelines, model training, evaluation frameworks, and inference serving.
• Establish evaluation methodology. Define how we measure model quality, catch regressions, and make data-driven decisions about model changes.
• Own the strategy for getting the data you need, in the format you need it — what/how to label, how to build feedback loops, and how our models improve over time.
• Partner with product engineers to integrate ML into the product. You will write production code and work within our existing codebase.
• Build and lead the ML team as scope grows.
Qualifications:
Required:
• 8+ years of experience building ML systems in production, ideally with experience standing up the ML function at an early stage startup or as the senior or lead ML person at a previous company.
• Strong software engineering fundamentals. You write production-quality code in modern languages (Python, Java, TypeScript) and work within large codebases.
• Experience with cloud ML infrastructure (AWS SageMaker, Bedrock, Modal, Baseten, or similar).
• Experience with common ML and data processing frameworks (PyTorch, Tensorflow, Spark).
• Comfortable working across the stack — infrastructure, backend services, and data systems.
• Track record of mentoring MLEs and other engineers with observable, clear improvements in those you've worked with.
• High autonomy. You'll have support and context from leadership, but you're expected to define the path forward and drive it.
Company:
Adaptive Security provides training and phishing simulations to help organizations strengthen human defenses against evolving cyber threats. Founded in 2023, the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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