The Home Depot

careers.homedepot.com

Machine Learning Engineer II

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 10,001+Since 1978H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

17 days ago

Salary

$90K - $170K / year

High School1 yr expExperience acceptedEnglishBig QueryCloudD3.jsGoogle Cloud PlatformJava ScriptLinuxNode.jsPandasPythonPy TorchReactScikit LearnSQLTensorflowUnix

Job Description

• 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 • Program configuration/modification and setup activities on large projects using HD approved methodology • 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 • Participates in learning activities around modern software design, machine learning, and development core practices • 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

Job Requirements

  • 1 - 3 years of relevant work experience
  • Experience in a modern scripting language (preferably Python)
  • Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc
  • Experience in modern web application framework such as Node.js
  • Experience in a front-end technology and framework such as HTML, CSS, JavaScript, ReactJS, D3
  • Experience in writing SQL queries against a relational database
  • Experience in version control systems (preferable Git)
  • Familiarity with algorithms such as clustering, forecasting, anomaly detection, and neural networks
  • Familiarity with basic statistics and regression algorithms
  • Familiarity with advanced statistics such as bayesian statistics
  • Familiarity with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc
  • Familiarity with Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
  • Familiarity with a Linux or Unix based environment
  • Familiarity with a CI/CD toolchain
  • Familiarity with REST and effective web service design
  • Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

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