Machine Learning Engineer Intern (Summer 2026)
About The Position
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:
Requirements
- 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 u nderstanding 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 .
Nice To Haves
- 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
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.
Benefits
- 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
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What This Job Offers
Career Level
Intern
