Machine Learning Engineer II

This is a fully remote position, open to applicants in United States.

📋 Description

• Become a member of a product team and engage in software design, algorithm development, and the complete product lifecycle.

• Collaborate daily with product team members to work through user stories and support the evolution of products.

• Design and integrate AI/ML algorithms directly into software applications.

• Execute integration, design, and development following Home Depot process techniques.

• Work with business stakeholders, technology infrastructure teams, and development teams to fulfill business requirements.

• Conduct performance tuning, testing, and monitoring of products.

• Engage in customer outreach, create ML educational materials, and perform data engineering tasks.

• Develop, support, and deploy production applications.

• Review code submissions and offer feedback based on best practices.

• Collaborate with UX, engineering, and product management to develop secure, reliable, and scalable machine learning solutions.

• Document, review, and ensure adherence to quality and change control standards.

• Generate developer-ready, clear, and testable user stories in conjunction with the product team.

• Write custom scripts or code to automate infrastructure, monitoring services, and test cases.

• Conduct destructive testing to verify production resilience.

• Configure and adjust programs and orchestrate large projects using approved methodologies.

• Tailor commercial off-the-shelf solutions to meet evolving business requirements.

• Create dashboards, logging, alerting, and responses to proactively identify and resolve issues.

• Participate in learning activities and communities of practice focused on modern software design, machine learning, and development.

• Address inquiries from product and support teams.

• Monitor tools and promote collaboration among product teams.

• Offer application support for production software.

• Oversee production Service Level Objectives.

• Evaluate performance and capacity across code, infrastructure, data, message processing, and prediction quality.

• Report to a Software Engineer Manager or Senior Software Engineer Manager; there are no direct reports.

⛳️ Requirements

• Must be at least eighteen years of age.

• Must possess legal authorization to work in the United States.

• Minimum educational requirement: high school diploma and/or GED.

• At least 1 year of relevant work experience.

• Proficient in a modern scripting language, preferably Python.

• Experience with effective data engineering practices and big data platforms, such as BigQuery and Data Store.

• Familiarity with contemporary web application frameworks, such as Node.js.

• Experience with front-end technologies and frameworks including HTML, CSS, JavaScript, ReactJS, and D3.

• Proficient in writing SQL queries against relational databases.

• Experience with version control systems, preferably Git.

• Familiarity with clustering, forecasting, anomaly detection, and neural networks.

• Knowledge of basic statistics and regression algorithms.

• Understanding of advanced statistics, including Bayesian statistics.

• Familiarity with data analysis and machine learning tools and libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, and PyTorch.

• Familiarity with Google Cloud Platform and AI/ML components such as Vertex AI, BigQueryML, and AutoML.

• Experience with Linux or Unix-based environments.

• Familiarity with CI/CD toolchains.

• Understanding of REST and effective web service design.

• Knowledge of production systems design, including high availability, disaster recovery, performance, efficiency, and security.

🏝️ Benefits

• Remote/Virtual work arrangement.

• Overnight travel typically limited to 5% to 20% of the time.