2025 University Recruiting - Machine Learning Engineer Summer Intern

Job Description

Job Description:  Machine Learning Engineer Summer Intern, Data Science and Scientific Informatics

Our company is a global healthcare leader dedicated to improving health outcomes through the development of innovative prescription medicines, vaccines, and animal health products. Our mission is to create a healthier future by harnessing our extensive expertise in drug development and healthcare solutions.

The Data Science and Scientific Informatics Team at Research and Development Sciences IT of our company is excited to offer a summer internship opportunity. The successful candidate will engage in exploration, design, and implementation of features to support new MLOps use cases for a growing and diverse range of models and platforms. This role will involve the deployment and operationalization of machine learning models across multiple domains, ensuring that our analytics capabilities are robust and scalable.

Responsibilities:

• Collaborate with data scientists, software engineers, and product teams to design, implement, and maintain production-level machine learning pipelines and workflows.

• Develop and automate processes for data preprocessing, feature engineering, model training, and evaluation to enhance the reliability and scalability of machine learning applications.

• Utilize MLOps principles to streamline the model deployment process, ensuring models are easily retrainable and maintainable as new data becomes available.

• Monitor and evaluate model performance in a production environment, implementing necessary adjustments to improve accuracy and reliability while ensuring compliance with industry standards and best practices.

• Prepare and present findings and developments to internal stakeholders, contributing to strategic decision-making and operational improvements in MLOps.

• Stay current with industry trends and best practices in machine learning, data engineering, and MLOps, and actively contribute to the innovation of methodologies within the team.

Eligibility:

• Candidates must be currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Computational Science, or other analytical disciplines.

• The ideal candidate should be available for a full-time internship (10-12 weeks) during the summer of 2025 and should plan to return to school in the fall after completing the internship.

Required Experience and Skills:

• Knowledge of machine learning algorithms and data science techniques.

• Proficiency in programming languages such as Python or R, with a familiarity with libraries and frameworks for machine learning (e.g., scikit-learn, TensorFlow, PyTorch).

• Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Docker, or other cloud-based solutions).

• Familiarity with version control systems (e.g., Git) and CI/CD processes to manage model lifecycle.

• Excellent analytical and problem-solving capabilities with a keen interest in applying data-driven insights to strategic initiatives.

• Strong organizational skills with the ability to manage multiple tasks and meet deadlines in a fast-paced environment.

• Effective verbal and written communication skills for conveying complex information to colleagues and stakeholders.

Preferred Experience and Skills (not all required):

• Knowledge of deep learning frameworks such as TensorFlow or PyTorch.

• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud computing environments (AWS, Databricks).

• Participation in academic or personal projects that showcase the application of ML and/or data orchestration techniques in real-world scenarios.

• Experience implementing CI/CD workflows with GitHub Actions.

FTP2025

GSF2025

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.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas 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”.

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:

Intern/Co-op (Fixed Term)

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

02/28/2025

*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.