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Manager Cyber Security Machine Learning Jobs (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA

Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$112K - $154K/yr

Apply cybersecurity principles in the design and deployment of machine learning systems. * Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government ...

Peet's Coffee

Senior Manager, Cyber Security

Emeryville, CA · Hybrid

$160K - $180K/yr

Peet's is seeking a Senior Manager, Cyber Security to lead and mature the company's enterprise ... Provide coaching and learning opportunities to teams ensuring leading edge practices * Influential ...

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Develop and manage data ingestion, transformation, and curation processes across Bronze, Silver ... Design and implement machine learning pipelines using Azure Databricks and related cloud ...

Nvidia

Campaign Manager, Cybersecurity

Santa Clara, CA · On-site

We are hiring a Cybersecurity Campaign Manager to lead global, coordinated marketing initiatives ... Familiarity with AI and machine learning-based security, network traffic analysis, SOC workflows ...

Ardelyx

Senior Manager, Cyber Security Operations

Waltham, MA · On-site

$119K - $161K/yr

Senior Manager, Cyber Security Operations Ardelyx is a commercial-stage biopharmaceutical company ... continuous learning, and security awareness * Execute against the cybersecurity roadmap in ...

Peet's Coffee

Senior Manager, Cyber Security

Emeryville, CA · On-site

$160K - $180K/yr

Peet's is seeking a Senior Manager, Cyber Security to lead and mature the company's enterprise ... Provide coaching and learning opportunities to teams ensuring leading edge practices * Influential ...

Avride

Machine Learning Engineer

Austin, TX

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

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All JobsManager Cyber Security Machine Learning Jobs

Manager Cyber Security Machine Learning information

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

As of Jun 24, 2026, the average yearly pay for manager cyber security machine learning in the United States is $132,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Cyber Security Machine Learning vs Security Analyst?

AspectManager Cyber Security Machine LearningSecurity Analyst
Required CertificationsCertified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), or specialized machine learning certificationsCompTIA Security+, GIAC Security Essentials (GSEC), or CISSP
Work EnvironmentLeads teams, develops ML-based security solutions, collaborates with data scientists and engineersMonitors security systems, investigates incidents, implements security measures
Employer & Industry UsageTech companies, financial institutions, cybersecurity firms integrating ML for threat detectionOrganizations across industries focusing on threat analysis and security monitoring

The Manager Cyber Security Machine Learning focuses on leading teams and developing ML-driven security strategies, while the Security Analyst primarily monitors and responds to security threats. Both roles require security certifications, but the manager role emphasizes leadership and ML expertise, whereas the analyst role centers on operational security tasks.

What are the unique challenges a Manager of Cyber Security Machine Learning faces when integrating AI-driven solutions into existing security frameworks?

One of the main challenges for a Manager of Cyber Security Machine Learning is ensuring that machine learning models are robust against adversarial attacks and do not introduce new vulnerabilities. Integrating AI-driven solutions also requires close collaboration with both cybersecurity and data science teams to align security goals and technical constraints. Additionally, managers must oversee continuous monitoring, model updating, and compliance with privacy regulations to maintain the effectiveness and trustworthiness of these systems. Balancing innovation with risk management is a key part of this role.

What are the key skills and qualifications needed to thrive as a Manager Cyber Security Machine Learning, and why are they important?

To thrive as a Manager Cyber Security Machine Learning, you need deep expertise in cybersecurity principles, machine learning algorithms, and a relevant degree such as computer science or information security. Familiarity with security tools (e.g., SIEM, IDS/IPS), machine learning frameworks (like TensorFlow or PyTorch), and certifications such as CISSP or CEH is highly valuable. Exceptional leadership, problem-solving, and communication skills help in managing cross-functional teams and translating complex technical concepts to stakeholders. These skills are crucial for protecting organizational assets through advanced analytics and leading teams that can adapt to emerging cyber threats.

What does a Manager of Cyber Security Machine Learning do?

A Manager of Cyber Security Machine Learning leads teams that develop and implement machine learning models to detect and prevent cyber threats. They oversee projects that use AI to analyze large datasets for signs of malicious activity, automate threat response, and improve security operations. This role requires both technical expertise in cybersecurity and machine learning, as well as leadership skills to manage teams and collaborate with other departments. Their goal is to enhance an organization’s security posture by leveraging cutting-edge technologies.
More about Manager Cyber Security Machine Learning jobs
What are the most commonly searched types of Cyber Security Machine Learning jobs? The most popular types of Cyber Security Machine Learning jobs are:
What job categories do people searching Manager Cyber Security Machine Learning jobs look for? The top searched job categories for Manager Cyber Security Machine Learning jobs are:
Manager Cyber Security Machine Learning jobs near you
Infographic showing various Manager Cyber Security Machine Learning job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 1% Part Time, 3% Temporary, and 9% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.

Machine Learning Engineer

NTENT

Carlsbad, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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