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Manager Cyber Security Machine Learning Jobs (NOW HIRING)

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...

Pluralsight LLC

Machine Learning Engineer

$121K - $160K/yr

Collaborate with Product Managers and UX Designers to better understand the customer, provide ... cybersecurity, software development, and machine learning. We offer highly curated content ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Prior experience in cybersecurity, trust and safety, abuse prevention, threat intelligence, or ...

Cymertek

Machine Learning Engineer

Aurora, CO

Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ...

Cymertek

Machine Learning Engineer

Reston, VA

Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ...

Cymertek

Machine Learning Engineer

Chantilly, VA

Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ... cybersecurity, and analyst workforce development. At our company, you come first. We're committed ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Prior experience in cybersecurity, trust and safety, abuse prevention, threat intelligence, or ...

Extend

Manager, Machine Learning

$180K - $210K/yr

Required: * 6+ years of work experience building and deploying machine learning systems into production * 2+ years experience mentoring and managing ML teams * Strong proficiency in Python and SQL

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All JobsManager Cyber Security Machine Learning Jobs

Manager Cyber Security Machine Learning information

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$57K

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$186K

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.
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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 Manager

Machine Learning Manager

Hive

San Francisco, CA • On-site

$180K - $250K/yr

Full-time

Posted 23 days ago

Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Machine Learning Manager
In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets. We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
  • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
  • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
  • Participate in products technical design and architecture
  • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production
  • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
  • Implement and manage security protocols such as training, code review, and best practices
  • Own and manage the risk and security of your business function in coordination with the Security Team
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements
  • Undergraduate or graduate degree in computer science or similar technical field
  • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
  • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
  • 2+ years experience managing machine learning teams
  • You have an ability to understand and make well-reasoned tradeoffs in designing features
  • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
  • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
  • Have experience collaborating with product managers and labeling team in delivering model improvements

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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