Machine Learning Engineer Ii (remote)

Home Depot

Remote
Base: $90,000 - $170,000; bonus/equity: not specif...
Software design and algorithm design
Collaborative product team environment
Designing and implementing ai/ml algorithms
The Machine Learning Engineer II 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

Job Summary

  • The Machine Learning Engineer II 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.
  • ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.
  • The role may also be involved in performance tuning, testing, and product monitoring.

Matching Summary

The Machine Learning Engineer II 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.

Salary

Base: $90,000 - $170,000; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • software design and algorithm design
  • collaborative product team environment
  • designing and implementing AI/ML algorithms
  • integration, design, and development
  • performance tuning, testing, and product monitoring
  • data engineering
  • reviewing and providing code feedback

Nice-to-have

  • customer outreach and educational material design
  • modern software design practices
  • learning about new technologies
  • encouraging collaboration across teams
  • proactive production monitoring

Key Requirements

  • 1-3 years relevant work experience
  • Experience in Python
  • Experience in BigQuery, Data Store
  • Experience in Node.js
  • Experience in ReactJS, D3
  • Experience writing SQL queries
  • Experience with Git
  • Familiarity with clustering, forecasting, anomaly detection, neural networks
  • Familiarity with basic statistics and regression
  • Familiarity with advanced statistics
  • Familiarity with Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch
  • Familiarity with Google Cloud Platform, Vertex AI, BigQueryML, AutoML
  • Familiarity with Linux/Unix environment
  • Familiarity with CI/CD toolchain
  • Familiarity with REST and web service design
  • Familiarity with production systems design
  • High school diploma or GED

Work Rights

Legally permitted to work in the United States

Tailored Resume

Cover Letter