The Home Depot
SR. Machine Learning Engineer, Enterprise AI Systems
Atlanta, Georgia · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$13,776 more — $113,776 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $113,776 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Atlanta-Sandy Springs-Roswell, GA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- The engineering process is highly collaborative.
- ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products.
- The role may also be involved in performance tuning, testing, and product monitoring.
Responsibilities
- 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
Requirements
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Nice to have
- Strong experience with knowledge graphs, graph engineering, network analysis, semantic search, and building enterprise knowledge layers that connect structured and unstructured data to enable AI and analytics use cases.
- Proficiency in Python and modern AI/ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, Pandas, and related technologies.
- Experience with cloud-native AI/ML platforms and infrastructure, preferably Google Cloud Platform (Vertex AI, BigQuery, BigQuery ML), including model deployment, monitoring, and MLOps practices.
- Strong understanding of software engineering best practices, including CI/CD, version control, automated testing, security, and performance optimization.
- Experience working with large-scale structured and unstructured datasets, SQL, NoSQL, and modern data architecture patterns.
- Strong communication, collaboration, and stakeholder management skills with the ability to influence technical decisions across engineering, data, analytics, and product teams.
- The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.
- Minimum Years Of Work Experience
Skills
- 70% Delivery and Execution
- 10% Learning
- 20% Support and Enablement
- This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager
- This Position has 0 Direct Reports
- Typically requires overnight travel 5% to 20% of the time.
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Compensation
- $100k-$180k
This listing is sourced directly from The Home Depot's careers page and normalized into a canonical job model.