Machine Learning Engineer

No Relocation Assistance Offered
Job Number #171680 - New York, New York, United States

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

Overview

We are seeking a Machine Learning Engineer who is a practitioner with the rigor of a data scientist and the engineering discipline of a software architect. This role is focused on driving deeply integrated ML use cases that span technologies and business workflows. You will be responsible for building the statistical, ML, and optimization models behind autonomous workflows and internally-built end-user applications. This role sits on our Global AI/ML team, which serves as the Enterprise Center of Excellence for applied AI/ML research.

 

Core Responsibilities:

• Productionize ML Research: Transition experimental models into robust, scalable production services. You don't just build the model; you build the pipeline that sustains it.
• Pipeline Orchestration: Design and maintain complex data and ML pipelines using Airflow and dbt to ensure data integrity and model reliability.
• Statistical Rigor: Apply advanced statistical modeling and hypothesis testing to validate models, ensuring outcomes are testable and honest.
• DevOps & MLOps: Utilize modern developer tools to work within and CI/CD frameworks for ML and software lifecycle management

 

Requirements:

• Bachelor’s Degree (or higher) in a high-rigor field: Statistics, Physics, Chemistry, Mathematics, Data Science, or Computer Science with a heavy emphasis on Statistical Learning. Optional: Ph.D in a quantitative field
• Proven expertise in Data Science and/or Machine Learning Engineering.
• Advanced proficiency in Python (Production-grade) and SQL.
• Hands-on experience with Airflow for orchestration and dbt for transformation.
• Familiarity with modern IDEs and Agentic Coding systems (e.g., Cursor, Windsurf, Claude Code, Antigravity) to maximize output velocity.
• Experience in a global, matrixed environment (FMCG/Manufacturing preferred).

 

Technical Skills:

• Modern Stack: Expert knowledge of Python, Scikit-learn, major ML Libraries
• Data Engineering: Deep understanding of data lifecycle (ETL/ELT), data architecture, best practices for templatized data transformation
• Engineering Excellence: Familiar with Docker/Kubernetes, CI/CD, Git, and "Software Engineering for ML" best practices.
• Statistical Depth: Proficient with a selection of Bayesian methods, causal inference, and/or predictive modeling techniques
• LLM Literacy: Familiar with concepts underpinning LLMs, and strategies to integrate GenAI into MLE project lifecycle

 

Core Competencies:

• Problem-solving: Ability to decompose complex business challenges into actionable AI solutions
• Communication: Ability to explain technical concepts to non-technical stakeholders
• Analytical Thinking: Ability to assess business impact of projects and prioritize accordingly
• Collaboration: Experience working effectively with cross-functional teams and stakeholders
• Project Management: Ability to manage multiple initiatives simultaneously while meeting deadlines
• Narrative Thinking: Ability to back data with a compelling business story for stakeholders.

Compensation and Benefits
Salary Range $110,000.00 - $150,000.00 USD

Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.

Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick lea