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Manager Cyber Security Machine Learning Jobs (NOW HIRING)

Manager Cybersecurity

Princeton, NJ · On-site

$116.40K - $157.20K/yr

Integrate artificial intelligence (AI) and machine learning (ML) capabilities into cybersecurity ... Monitor and manage the Information Security ticket queue, ensuring timely resolution or escalation ...

Manager, Cybersecurity

Poughkeepsie, NY · On-site

$105K - $110K/yr

Manager, Cybersecurity Department/School: Cybersecurity, Information Technology Salary/Pay Rate ... learning, and scholarship. This environment creates a strong applied research culture and includes ...

Manager, Cybersecurity Apply now Posting Number: 493995 Type of Position: Full-time Location ... learning, and scholarship. This environment creates a strong applied research culture and includes ...

Machine Learning Engineer

$128.80K - $214.50K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... Manage and deploy cloud-based ML services across major cloud computing environments, including AWS ...

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to ...

Machine Learning Manager

Seattle, WA · 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 ...

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 ...

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

As of May 31, 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 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 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 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.

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.

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:
Infographic showing various Manager Cyber Security Machine Learning job openings in the United States as of May 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 66% Physical, 6% Hybrid, and 28% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.
Manager Cybersecurity

Manager Cybersecurity

Acadia Pharmaceuticals Inc.

Princeton, NJ • On-site

$116.40K - $157.20K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

About Acadia Pharmaceuticals
Acadia is committed to turning scientific promise into meaningful innovation that makes the difference for underserved neurological and rare disease communities around the world. Our commercial portfolio includes the first and only FDA-approved treatments for Parkinson's disease psychosis and Rett syndrome. We are developing the next wave of therapeutic advancements with a robust and diverse pipeline that includes mid- to late-stage programs in Alzheimer's disease psychosis and Lewy body dementia psychosis, along with earlier-stage programs that address other underserved patient needs. At Acadia, we're here to be their difference.
Position Summary
The Cybersecurity Manager is responsible for supporting Acadia's day-to-day cybersecurity operations. This role actively monitors enterprise security tools, investigates alerts, and coordinates incident response activities with internal teams and third-party security partners. The role supports the development, implementation, and continuous improvement of Acadia's cybersecurity operations, with a strong emphasis on automation and the use of artificial intelligence (AI) to enhance detection, response, and operational efficiency.
This Cybersecurity Manager owns Acadia's vulnerability and exposure management programs and leads penetration testing, threat intelligence, threat hunting, and proactive risk identification efforts. Additionally, this role will partner with enterprise stakeholders to support organization-wide AI and machine learning initiatives, ensuring the confidentiality, integrity, and availability of AI systems. This role helps align cybersecurity practices with business objectives, regulatory requirements, and emerging risks associated with AI technologies.
Primary Responsibilities
  • Actively monitor and manage security tools and service providers to identify, investigate, and respond to security alerts in a timely and effective manner.
  • Own and continuously improve the vulnerability and exposure management program, including tooling, vendor coordination, scanning, penetration testing, and remediation tracking.
  • Lead threat hunting activities and manage the threat intelligence program to proactively identify, analyze, and mitigate emerging threats.
  • Collaborate cross-functionally with internal and external teams to strengthen enterprise security posture and drive timely remediation of identified risks
  • Design, develop, and maintain automation scripts and SOAR workflows to improve efficiency across log analysis, alert triage, incident response, and reporting.
  • Integrate artificial intelligence (AI) and machine learning (ML) capabilities into cybersecurity operations to enhance threat detection, anomaly identification, and risk analysis.
  • Monitor and manage the Information Security ticket queue, ensuring timely resolution or escalation of incidents in accordance with defined service-level objectives (SLOs).
  • Conduct and support security incident response and forensic investigations, including analysis, documentation, and evidence handling.
  • Support cybersecurity audits, assessments, and regulatory compliance activities.
  • Assist with the maintenance, documentation, and annual testing of the Cyber Incident Response Plan.
  • Lead or contribute to cybersecurity initiatives, continuous improvement efforts, and projects.
  • Support the enterprise-wide security of AI/ML systems, including model integrity, data protection, and access controls AI/ML-related assets.
  • Other responsibilities as assigned.

Education/Experience/Skills
Bachelor's degree in Cybersecurity, Computer Science, Information Systems, or a related field. Targeting 5 years of experience in cybersecurity and prior experience in Information Technology. Experience in the pharmaceutical or biotech industry preferred. One or more industry-recognized cybersecurity certifications required (e.g., Security+, SSCP, CCNP Security, CISSP, or equivalent). An equivalent combination of relevant education and experience may be considered.
Key Skills:
  • Hands-on experience with enterprise security tools and platforms, including SIEM, EDR, NDR/NTA, vulnerability and exposure management solutions, and SOAR technologies.
  • Experience conducting or supporting penetration testing and vulnerability assessments, and interpreting results to drive remediation.
  • Proficiency in scripting and automation using languages such as Python, PowerShell, or Bash, with the ability to develop and maintain tools that enhance security operations.
  • Foundational understanding of artificial intelligence (AI) and machine learning (ML) concepts, particularly as applied to cybersecurity use cases such as anomaly detection, threat modeling, and analytics.
  • Familiarity with cybersecurity frameworks and standards including NIST, CIS Critical Security Controls, and MITRE ATT&CK.
  • Strong analytical and problem-solving skills, with the ability to evaluate complex security issues and develop effective, risk-based solutions.
  • Effective written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
  • Task-oriented and self-directed, with the ability to prioritize workload, meet deadlines, and appropriately escalate issues.
  • Demonstrates a high level of attention to detail and commitment to quality.
  • Must be willing and able to travel both domestically and internationally.

Physical Requirements
This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds. This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.
#LI-HYBRID #NC1
In addition to a competitive base salary, this position is also eligible for discretionary bonus and equity awards based on factors such as individual and organizational performance. Actual amounts will vary depending on experience, performance, and location.
Salary Range
$113,200-$141,500 USD
What we offer US-based Employees:
  • Competitive base, bonus, new hire and ongoing equity packages
  • Medical, dental, and vision insurance
  • Employer-paid life, disability, business travel and EAP coverage
  • 401(k) Plan with a fully vested company match 1:1 up to 5%
  • Employee Stock Purchase Plan with a 2-year purchase price lock-in
  • 15+ vacation days
  • 13 -15 paid holidays, including office closure between December 24th and January 1st
  • 10 days of paid sick time
  • Paid parental leave benefit
  • Tuition assistance

EEO Statement (US-based Employees): Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in the exact way they are described in job postings. We are committed to building a diverse, equitable, inclusive, and innovative company, and we are looking for the BEST candidate for the job. That candidate may be one who comes from a less traditional background or may meet the qualifications in a different way. We strongly encourage you to apply, especially if the reason you are the best candidate isn't exactly what we describe here.
It is the policy of Acadia to provide equal employment opportunities to all employees and employment applicants without regard to considerations of race, including related to hairstyle, color, religion or religious creed, sexual orientation, gender, gender identity, gender expression, gender transition, country of origin, ancestry, citizenship, age, physical or mental disability, genetic information, legally-protected medical condition or information, marital status, domestic partner status, family care status, military caregiver status, veteran or military status (including reserve status, National Guard status, and military service or obligation), status as a victim of domestic violence, sexual assault or stalking, enrollment in a public assistance program, or any basis protected under federal, state or local law.
As an equal opportunity employer, Acadia is committed to a diverse workforce. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation. Furthermore, you may request additional support if you are unable or limited in your ability to use or access Acadia's career website due to your disability, along with any accommodations throughout the interview process. To request or inquire about your reasonable accommodation, please complete our Reasonable Accommodation Request Form or contact us at talentacquisition@acadia-pharm.com or 858-261-2923.
Please note that reasonable accommodations granted throughout the recruiting process are not guaranteed to be the same accommodations given if hired. A new request will need to be submitted for any ADA accommodations after starting employment.
California Applicants: Please see Additional Information for California Residents within our Privacy Policy.
Canadian Applicants: Please see Additional Information for Canadian Residents within our Privacy Policy.
Applicants in the European Economic Area, Switzerland, the United Kingdom, and Serbia: Please see Additional Information for Individuals in the European Economic Area, Switzerland, the United Kingdom, and Serbia within our Privacy Policy.
Notice to Search Firms/Third-Party Recruitment Agencies (Recruiters): The Talent Acquisition team manages the recruitment and employment process for Acadia Pharmaceuticals Inc. ("Acadia"). Acadia does not accept resumes from recruiters or search firms without an executed search agreement in place. Resumes sent to Acadia employees in the absence of an executed search agreement will not obligate Acadia in any way with respect to the future employment of those individuals or potential remuneration to any recruiter or search firm. Candidates should never be submitted directly to our hiring managers or employees.