Senior Machine Learning Engineer (Remote)

Home Depot; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Machine Learning Engineer to join a dynamic team focused on innovative software solutions. In this role, you'll collaborate closely with cross-functional teams to design and implement cutting-edge machine learning algorithms that enhance user experiences. Your expertise will drive the development of secure and scalable applications, while you also engage in continuous learning to stay ahead in the fast-evolving tech landscape. If you're passionate about leveraging AI to make a significant impact, this opportunity could be your next career milestone.

Qualifications

• 2-4 years of relevant experience in machine learning and software development.
• Experience with algorithms like clustering, forecasting, and neural networks.

Responsibilities

• Collaborate with product teams to create scalable machine learning solutions.
• Monitor production software and ensure quality standards are met.

Skills

Machine Learning

Python

Data Analysis

Statistics

Algorithms

NLP

CI/CD

SQL

Education

High School Diploma or GED

Tools

Jupyter

Pandas

TensorFlow

PyTorch

Google Cloud Platform

Git

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Sr Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Sr ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.

ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also involve performance tuning, testing, and product monitoring. Additional responsibilities may include performing customer outreach, designing ML educational material, and data engineering.

Sr ML Engineers should operate independently but will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve it based on best practices.

Key Responsibilities:

1. 70% Delivery and Execution: Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; documents, reviews, and ensures all quality and change control standards are met; works with the Product Team to ensure user stories are developer-ready, easy to understand, and testable; writes custom code or scripts to automate infrastructure, monitoring services, and test cases; configures commercial off-the-shelf solutions to align with evolving business needs; creates meaningful dashboards, logging, alerting, and responses to proactively address issues.
2. 10% Learning: Participates in learning activities around modern software design, machine learning, and development core practices; proactively views articles, tutorials, and videos to learn about new technologies and best practices.
3. 20% Support and Enablement: Fields questions from other product or support teams; monitors tools and encourages cross-team collaboration; provides application support for production software; proactively monitors production Service Level Objectives; reviews the Performance and Capacity of all aspects of production including code, infrastructure, data, message processing, and prediction quality.

Additional Details:

• This position reports to the Software Engineer Manager or Sr. Software Engineer Manager.
• Has no direct reports.

Travel Requirements:

• Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:

• Mostly sitting with opportunities to move; occasional lifting of light articles.

Working Conditions:

• Located indoors in a comfortable environment; infrequent unpleasant conditions.

Minimum Qualifications:

• Must be 18 or older.
• Legally permitted to work in the U.S.

Preferred Qualifications:

• 2-4 years of relevant experience.
• Experience with algorithms like clustering, forecasting, anomaly detection, neural networks.
• Knowledge of statistics and regression algorithms.
• Experience with Data Analysis and ML tools (Jupyter, Pandas, SciPy, scikit-learn, Gensim, TensorFlow, PyTorch).
• Experience with Google Cloud Platform, Vertex AI, BigQueryML, and data engineering practices.
• Proficiency in Python, GPU acceleration, web frameworks (Node.js), front-end tech (HTML, CSS, JavaScript, ReactJS), SQL, Git, Linux/Unix, CI/CD, REST APIs, high availability, disaster recovery, NoSQL.
• Familiarity with NLP, CNNs, autoencoders, embeddings.

Education and Experience:

• High school diploma or GED required.
• No additional education required.
• Minimum 2 years of work experience.

Leadership and Certifications:

• No leadership experience or certifications required.

Competencies:

• Global Perspective, Manages Ambiguity, Nimble Learning, Self-Development, Collaborates, Cultivates Innovation, Situational Adaptability, Communicates Effectively, Drives Results, Interpersonal Savvy.

Additional Notes for Certain States:

The pay range for this position is between $100,000 - $150,000.

About the company

The Home Depot, America’s home improvement retail leader, helps customers and Associates build success every day – and not just in our 2,200+ retail stores. Thousands of talented can-do people build amazing futures in field and corporate positions.