Senior Machine Learning Engineer (Remote)

The Home Depot; Atlanta (GA); Remote; USD 110,000 - 150,000; Full time

Job summary

A leading company in the home improvement sector is seeking a Senior Machine Learning Engineer to join their remote team. This role involves designing and implementing AI/ML algorithms, collaborating with cross-functional teams, and contributing to the product lifecycle. Ideal candidates will have experience with various ML tools and a strong foundation in software engineering practices.

Qualifications

• 2-4 years relevant experience in ML.
• Experience with AI/ML algorithms and tools.
• Legally permitted to work in the US.

Responsibilities

• Collaborates with product team to create machine learning solutions.
• Documents and ensures quality and change control standards.
• Provides application support for software running in production.

Skills

Clustering

Forecasting

Anomaly detection

Neural networks

Statistics

Regression

Data analysis

Machine Learning tools

Education

High school diploma or GED

Tools

Jupyter

Pandas

SciPy

Scikit-learn

Gensim

TensorFlow

PyTorch

Job description

Join to apply for the Senior Machine Learning Engineer (Remote) role at The Home Depot

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 may 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 be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering.

Sr ML Engineers should be able to operate independently though 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, 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 that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
2. 10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations
3. 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality

Other Details

• Typically reports to a Software Engineer Manager or Sr. Software Engineer Manager
• Has 0 Direct Reports
• Overnight travel 5% to 20% of the time
• Mostly seated work with occasional movement; light lifting may be required
• Located in a comfortable indoor environment

Minimum Qualifications

• Must be 18+ years old
• Legally permitted to work in the US

Preferred Qualifications

• 2-4 years relevant experience
• Experience with clustering, forecasting, anomaly detection, neural networks, statistics, regression, data analysis, and ML tools (e.g., Jupyter, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch)
• Experience with Google Cloud Platform, Vertex AI, BigQueryML, data engineering, GPU acceleration, web frameworks, SQL, version control, Linux/Unix, CI/CD, REST, high availability, NoSQL, cloud automation, A/B testing, advanced ML techniques (NLP, CNNs, autoencoders, embeddings)

Education & Experience

• High school diploma or GED
• Minimum 2 years of work experience