Cybersecurity AI Engineer (Sr. Scientist) – ML & Insights (Remote)

MSD Malaysia; Rahway (NJ); Remote; USD 114,000 - 181,000; Full time

Job summary

An established industry player is seeking a Cybersecurity AI Engineer to join their innovative Cybersecurity Automation & AI team. This role is pivotal in applying machine learning and data engineering to tackle complex security challenges. You will design and operationalize ML models across enterprise platforms, transforming data science prototypes into production-grade software. This hands-on position emphasizes collaboration and integration within cybersecurity workflows, ensuring that AI capabilities are embedded into security processes. If you're passionate about leveraging AI to enhance cybersecurity, this opportunity is perfect for you.

Benefits

Health care and insurance benefits

Retirement benefits

Paid holidays

Vacation days

Sick days

Bonus eligibility

Long-term incentives

Qualifications

• 5+ years experience delivering ML/AI systems in production.
• Strong Python engineering skills for production-grade solutions.

Responsibilities

• Design and implement ML systems to automate security intelligence.
• Collaborate with engineers to embed ML outputs into workflows.

Skills

Python

Machine Learning

Data Engineering

API Development

Cybersecurity

Communication Skills

Education

Bachelor’s degree in Computer Science

Master’s degree in Computer Science

Tools

Microsoft Defender XDR

ServiceNow

Databricks

Sentinel

Job description

Cybersecurity AI Engineer (Sr. Scientist) – ML & Insights (Remote) page is loaded

Cybersecurity AI Engineer (Sr. Scientist) – ML & Insights (Remote)

Apply remote type Remote locations USA - New Jersey - Rahway time type Full time posted on Posted 2 Days Ago time left to apply End Date: May 13, 2025 (11 days left to apply) job requisition id R346806

Job Description

Job Description:

We are seeking a Cybersecurity AI Engineer to join the Cybersecurity Automation & AI team within our Cybersecurity Engineering organization. This senior specialist role is responsible for applying machine learning and data engineering to solve complex, high-impact security problems across our enterprise.

You will work across platforms such as Microsoft Defender XDR, Sentinel, ServiceNow, ADX, and Databricks, building ML pipelines, scoring engines, enrichment logic, and intelligent automation triggers that advance proactive cyber defense. This role is not focused on research or analytics alone—it is a hands-on engineering role that brings AI to life within cybersecurity workflows.

Key Responsibilities:

• Design and implement machine learning systems and pipelines to automate security intelligence, prioritization, and response.

• Operationalize ML models across enterprise-scale platforms, including Defender XDR, Sentinel, and ServiceNow.

• Build APIs, logic layers, and model wrappers that enable integration of scoring and risk signals into real-time security workflows.

• Transform data science prototypes into production-grade software components.

• Collaborate with security automation engineers to embed ML outputs into process automation and decision-making frameworks.

• Leverage telemetry from disparate data sources (ADX, Databricks, native platform feeds) to generate meaningful insights and actions.

• Translate security engineering problems into ML/AI solutions with measurable outcomes.

• Stay current on evolving cyber threats, AI techniques, and telemetry platforms relevant to enterprise security defense.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related technical field (Master’s preferred).

• Typically 5+ years of experience delivering ML/AI systems in production environments, with strong Python engineering skills and a demonstrated ability to build production-grade solutions in cybersecurity or adjacent engineering domains.

• Deep understanding of ML model deployment, APIs, pipeline orchestration, and system integration.

• Experience working with security telemetry and platforms such as Sentinel, Defender XDR, ServiceNow, or SIEM/SOAR tools.

• Proven ability to work in cross-functional teams delivering cybersecurity outcomes.

• Strong communication skills, including the ability to explain ML decisions and outcomes to engineering and risk stakeholders.

Preferred Qualifications:

• Experience with threat detection, alert enrichment, triage automation, or identity and endpoint telemetry.

• Familiarity with Microsoft security technologies, enterprise ITSM, or identity systems.

• Understanding of risk modeling frameworks (e.g., MITRE ATT&CK, CVSS) and their application to ML scoring or prioritization.

• Familiarity with MLOps best practices and governance in enterprise environments.

About the Role:

This position plays a critical role in transforming how cybersecurity operates—leveraging AI and data science not as separate functions, but as embedded capabilities inside enterprise security platforms. You will act as the technical bridge between data science, engineering, and security platform execution.

This is a cybersecurity engineering role, embedded inside a team focused on high-impact automation and intelligence delivery. You will not own tools, but will work across them to drive integration and measurable outcomes that reduce risk and improve operational resilience.

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected US salary range:

$114,700.00 - $180,500.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here .

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Remote

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

05/13/2025

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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