INTERNSHIP DETAILS

Machine Learning Engineer Intern (Summer 2026)

CompanyThe Clorox Company
LocationDurham
Work ModeOn Site
PostedFebruary 6, 2026
Internship Information
Core Responsibilities
The intern will conduct exploratory data analysis, preparing and transforming raw data for ingestion into ML models, and will design and prototype end-to-end ML and data science solutions from conception through deployment. They will also cross-collaborate with engineering teams and stakeholders, presenting findings clearly to various audiences.
Internship Type
full time
Salary Range
$26 - $32
Company Size
7734
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Clorox Company (NYSE: CLX) champions people to be well and thrive every single day. Its trusted brands include Brita®, Burt's Bees®, Clorox®, Fresh Step®, Glad®, Hidden Valley®, Kingsford®, Liquid-Plumr® and Pine-Sol® as well as international brands such as Clorinda®, Chux® and Poett®. Headquartered in Oakland, California, since 1913, Clorox was one of the first in the U.S. to integrate ESG into its business reporting. In 2024 the company was ranked No. 1 on Barron's 100 Most Sustainable Companies list for the second consecutive year.
About the Role

Clorox is the place that’s committed to growth – for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace

Your role at Clorox:

Clorox is transforming its data & technology capabilities to drive purpose-driven business growth. Our Enterprise AI/ML Engineering team is seeking a passionate Machine Learning Engineering Intern to contribute to the development of our ML models and explore innovative ways to leverage additional data sources for enhanced performance. Our team owns Clorox’s ML forecasting engine, a crucial part of our Integrated Business Planning effort, supporting all our major retail business units.

In this role, you will:

Job Description & Key Responsibilities: 

 

  • Conduct exploratory data analysis:  

  • Prepare datasets for ingestion into our ML models 

  • Clean, preprocess, and transform raw data into structured formats suitable for machine learning models. 

  • Design and prototype Solutions:  

  • Develop end-to-end ML and data science solutions from idea conception through deployment from planning, requirements, design, development, testing, and evaluation. 

  • Cross-Collaborate:  

  • Work closely with our ML and Data Engineering team members and business stakeholders to gather requirements and understand project goals. 

  • Present findings, insights, and technical results to both technical and non-technical audiences in a clear and concise manner. 

What we look for:

Education, Technical Skills & Experience 

  • Currently pursuing an MS or PhD in Computer Science, Statistics, Data Science, Applied Mathematics, or related quantitative disciplines 

  • 1+ years of data science and machine learning coursework / practical experience. Previous internship or business experience (1~2 years) preferred 

  • Strong understanding and experience with ML models and ML engineering, advanced statistics, time series forecasting. Proficient in Python and SQL. 

  • Experience in data management, e.g., wrangling, extraction, normalization. 

  • Familiarity with cloud computing platforms (Microsoft Azure, GCP, or AWS) and/or Databricks, is a plus  

  • Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD is a plus. 

  • Understanding of design and architecture principles is a plus 

Additional Information

The applicable pay range for this role in the U.S. is based on your work location according to the cost of labor in your area.  *$26 - $32/hr All ranges are subject to change in the future.

 

Workplace type:

Hybrid (3 days in office per week)

Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That’s why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. Learn more.

Benefits we offer to help you be well and thrive:

  • Competitive compensation

  • Generous 401(k) program in the US and similar programs in international

  • Health benefits and programs that support both your physical and mental well-being

  • Flexible work environment, depending on your role

  • Meaningful opportunities to keep learning and growing

  • Half-day Fridays, depending on your location

Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.

To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Key Skills
Exploratory Data AnalysisData PreprocessingML Model DevelopmentTime Series ForecastingPythonSQLData ManagementCloud ComputingSDLC ProcessDevOpsVersion-ControlCI/CDDesign PrinciplesArchitecture Principles
Categories
TechnologyData & AnalyticsEngineeringScience & ResearchSoftware
Benefits
Competitive compensation401(k) programHealth benefitsFlexible work environmentLearning and growing opportunities