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Artificial Intelligence/Machine Learning (AI/ML) Capability Engineering Team Lead

NJ, United States

$173,200.00 - $272,600.00 This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of posting.

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Job details

Pay: $173,200.00 - $272,600.00 This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of posting.
Apply by: Nov 14, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

Job Description

The Artificial Intelligence / Machine Learning (AI/ML) Capability Engineering Team Lead supervises a cross-functionally embedded team of AI/ML Engineers and Data Scientists developing innovative AI Natural Language Processing (NLP) and Agentic AI capabilities for therapeutic research and development. Working with partners across the R&D pipeline and software technology stack, you will lead AI initiatives, influence AI strategy, and supervise a team of talented individuals. The models and pipelines that you and your team develop will help solve real-world problems and improve patient outcomes.

A strong candidate would enjoy:

Building, deploying, and publishing innovative and robust AI methods and agentic workflows that drive impact in areas such as AI machine translation, content generation and document drafting, workflow optimization, large-scale data enrichment, literature mining, target and biomarker prioritization, and representation learning (e.g., molecular design).
Partnering with stakeholders and product teams to ideate, design, build, and iteratively improve impactful solutions.
Rigorously evaluating and optimizing machine learning and AI workflows using standard and novel techniques, as well as developing human-in-the-loop AI approaches.
Having the freedom to propose areas of focus and solutions to explore.
Collaborating cross-functionally with experts across the R&D pipeline and across modalities of informatics and AI/ML work, including image processing, bioinformatics, representation learning, decision sciences, and more.
Tracking and helping to adhere to the developing landscape of AI regulations and internal policies, such as for data privacy and risk mitigation.
Staying up-to-date on the latest innovations in AI/ML and Agentic AI .
Using AI coding assistants in innovative and responsible ways.
Presenting plans and results to scientific and IT leadership and providing input on strategic planning.
Supervising, mentoring, and recruiting talented AI/ML engineers and other personas.

A strong candidate would have:

Excellent technical and non-technical communication, planning, teamwork, and leadership skills.
The ability to critically evaluate new problems, as well as AI/ML solution architecture and implementation.
A strategic mindset, including the ability to envision how AI/ML and software solutions may generalize to new areas of application.
Deep understanding of modern LLM and Agentic architectures, including retrieval-augmented generation (RAG), tool calling / Model Context Protocol (MCP), structured extraction, and agent orchestration.
Fluency in Python programming, version control and collaboration with Git, environment management (e.g., uv, Docker), and at least one ML framework (e.g., Pytorch, vLLM).
Excellent statistical analysis skills (e.g., a strong understanding of the implications of class imbalance).
Experience with scalable engineering frameworks such as Apache Spark and orchestrator frameworks such as Airflow.
Experience with Agentic AI protocols and standards such as MCP, A2A, and A2UI and with building production-ready software and AI solutions.
Experience with harness optimization approaches (e.g., auto-research).
Experience with AI/ML model deployment and operations, as well as modern software deployment standards (e.g., DevOps and CI/CD practices).
Experience with agentic system development (e.g., LangGraph), text processing (e.g., regular expressions, information retrieval, search systems), semantic engineering (e.g., RDF), and/or data engineering.
Familiarity with enterprise AI governance, data privacy boundaries, validation, fairness, and related ethical AI topics.
A passion for technology, science, biomedicine, and mentorship.

Minimum Requirements:

A PhD in data science, AI/ML/LLM/Agentic system engineering, computer science, semantic engineering, a related discipline, or a scientific field and 5 years of relevant industry experience.
OR M.S. in a similar field with 6 years relevant industry experience.
OR B.S. in a similar field with 7 years relevant industry experience.
5 years of technical leadership experience with AI/ML, NLP, or Agentic AI projects or products.
2 years of experience with supervision of team members.

Required Skills:

Apache Airflow, Apache Spark, Artificial Intelligence (AI), Data Engineering, Git, IBM watsonx.governance, Image Processing, LangGraph, Machine Learning (ML), Natural Language Processing (NLP), Orchestrate, Python (Programming Language), Software Development Life Cycle (SDLC), Solution Architecture, System Designs, System Integration, Systems Engineering, Testing

Preferred Skills:

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

The primary location for this posting is:

USA - New Jersey - Rahway Where required by law, the compensation range for this role is provided below.

The salary range for the primary location of this role is:

$173,200.00 - $272,600.00 This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

Additional location(s): Please note the salary range above applies to the Primary Location of the position. Where a role has other listed locations, different compensation guidelines may apply. You may find the salary ranges for additional locations below. If the salary range is not listed for the location you are applying to, our Talent Acquisition team will provide further information to you relevant to your location.

Additional location(s) Compensation Information:

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:

Domestic

VISA Sponsorship:

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

Hazardous Material(s):

n/a

Job Posting End Date:

11/14/2026*A job posting is effective until 11:59:59PM on the day BEFORE the 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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More about this job

Skills

Artificial intelligence
Machine learning
ML
Natural language processing
Research
Manage a team
Machine translation
Workflow
Prioritization
Leadership
Strategic planning
Communication skills
Teamwork
Python
Collaboration
Git
Docker
PyTorch
Statistics
Apache Spark
Apache Airflow
CI/CD
Data engineering
Biomedicine
Computer science
Software development
ICT system integration

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