Machine Learning Engineer

No Relocation Assistance Offered Job Number #171679 - 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 brings the analytical rigor of a data scientist and the engineering discipline of a software architect. In support of Colgate-Palmolive’s purpose to Make More Smiles and our commitment to a healthier future for our people, pets, and planet, this role builds the advanced machine learning capabilities that power smarter decisions, accelerate innovation, and create measurable impact across our global enterprise. As part of our Global AI/ML team, the Enterprise Center of Excellence for applied AI and ML research, you will design and deploy deeply integrated ML solutions that connect data, models, and business workflows. You will build the statistical, machine learning, and optimization models that enable autonomous workflows and internally developed end user applications, helping shift AI from isolated experimentation to embedded enterprise value. 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. Required Qualifications 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 Experience: Bachelors degree: 3+ years of technical experience; Masters or PhD (1+ years) 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. Expert knowledge of Python, Scikit‑learn, major ML Libraries. Deep understanding of data lifecycle (ETL/ELT), data architecture, best practices for templatized data transformation. Familiar with Docker/Kubernetes, CI/CD, Git, and "Software Engineering for ML" best practices. Proficient with a selection of Bayesian methods, causal inference, and/or predictive modeling techniques. Familiar with concepts underpinning LLMs, and strategies to integrate GenAI into MLE project lifecycle. Preferred Qualifications Ability to decompose complex business challenges into actionable AI solutions. Ability to explain technical concepts to non-technical stakeholders. Ability to assess business impact of projects and prioritize accordingly. Experience working effectively with cross‑functional teams and stakeholders. Ability to manage multiple initiatives simultaneously while meeting deadlines. Ability to back data with a compelling business story for stakeholders. Experience in a global, matrixed environment (FMCG/Manufacturing preferred). Compensation And Benefits Salary Range \$105,000.00 - \$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 include a comprehensive package of 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. Paid sick leave is adjusted based on role and location in accordance with local laws. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. #J-18808-Ljbffr