ML Engineer II - Build Scalable AI for Products

The Home Depot; New York (NY); Remote; USD 90,000 - 170,000; Full time

Job summary

The Home Depot is seeking a Machine Learning Engineer II to join a product team and contribute to software and algorithm design for ML-powered products. You will pair daily with teammates to advance user-focused ML features and participate in performance tuning and production support.

You will interface with stakeholders, data engineers, and infrastructure teams to meet business requirements and deploy scalable ML solutions. Strong scripting and data skills are essential.

Qualifications

• 1 year of relevant work experience
• Experience in Python scripting
• Experience in data engineering and big data platforms
• Experience with web application frameworks and front-end tech

Responsibilities

• Collaborate with product teams to build secure, scalable machine learning solutions.
• Document and review quality and change control standards; ensure user stories are developer-ready, understandable, and testable.
• Automate infrastructure, monitoring services, and test cases; support production and monitor SLAs.

Skills

Python

Data engineering

BigQuery

Node.js

ReactJS

SQL

Git

Statistics

Bayesian statistics

ML concepts

Education

High school diploma or GED

Tools

Gensim

scikit-learn

TensorFlow

PyTorch

Jupyter Notebooks

Pandas

SciPy

Vertex AI

BigQuery ML

AutoML

Linux/Unix

Job description

The Home Depot is seeking a Machine Learning Engineer II to join a product team and contribute to software and algorithm design for ML-powered products. You will pair daily with teammates to advance user-focused ML features and participate in performance tuning and production support.

You will interface with stakeholders, data engineers, and infrastructure teams to meet business requirements and deploy scalable ML solutions. Strong scripting and data skills are essential.