The Sr. Machine Learning Engineer will collaborate with product teams to design, develop, deploy, and monitor production AI/ML solutions, including LLM-powered applications, RAG systems, knowledge graphs, scalable data pipelines, and MLOps practices. Preferred experience includes Python, PyTorch/TensorFlow, GCP (Vertex AI, BigQuery), vector databases, model serving, CI/CD, and production monitoring. Role typically reports to a Software Engineering Manager and may require 5–20% overnight travel. A pay range of $100,000–$180,000/year is listed for certain U.S. residents in the posting.

Senior AI Engineer responsible for translating AI concepts into enterprise-ready products: developing scalable LLM/agent-based applications, orchestration layers, and cloud-native MLOps (Docker, Kubernetes/GKE, Terraform, CI/CD). Requires 6+ years experience, strong Python and production AI delivery skills. Role is remote with requirement to be legally permitted to work in the United States; travel typically 5–20%.

The Sr. Learning Innovation Specialist designs, prototypes, and develops AI-powered workflows, automation pipelines, and learning technology integrations to improve speed-to-market and operational efficiency for the learning organization. Responsibilities include AI engineering, prompt architecture, automation, systems integration (LMS/CMS/APIs), learning analytics, rapid prototyping, and technical enablement. Requires a bachelor’s degree or equivalent, 3+ years experience in learning technology or related fields, and legal authorization to work in the United States. Travel is under 5%.

Lead efforts to secure AI-driven and agentic systems, develop fraud-detection and analytics models (graph learning, anomaly/sequence detection, NLP embeddings), detect adversarial AI threats (deepfakes, voice cloning, impersonation), and operationalize AI security/governance frameworks (NIST AI RMF, ISO/IEC 42001, OWASP AIBOM). Requires 10+ years' experience and authorization to work in the United States. Remote role with no travel.

The Home Depot's BlackLocus team seeks a Senior Data Scientist to design and deploy algorithms and scalable systems for competitive intelligence, product matching, pricing automation and GenAI-driven insights. Role emphasizes Python/SQL, predictive analytics, causal inference, ML model development/deployment, cloud AI platforms and cross-functional communication. Listed pay range: $90,000–$190,000 per year.

Software Engineer II (remote) responsible for designing, developing, deploying, and supporting production applications with emphasis on ML/AI solutions. Requires experience with Python and at least one OOP language, ML frameworks (e.g., PyTorch, TensorFlow), SQL/NoSQL databases, cloud platforms (Azure/AWS/GCP), CI/CD and DevOps practices, microservices/APIs, testing, monitoring, and related engineering practices. Minimum 2 years' experience. Salary range (for listed locations) $90,000–$170,000/year.

The Sr. Software Engineer develops, tests, deploys, and maintains production software, contributes to architecture and tooling, and mentors junior engineers. The role emphasizes AI workflow development, front-end technologies (HTML/CSS/JavaScript/TypeScript), Java and database technologies (relational and NoSQL), cloud computing, CI/CD, security, testing, debugging and production monitoring. Minimum required experience is 3 years; a preferred experience mention is 5+ years in relevant work.

The Home Depot is hiring a Senior Software Engineer to independently develop, refactor, and maintain production applications (payroll/HCM and AI-focused). Responsibilities include full software lifecycle work (development, testing, CI/CD, deployment), integrations/APIs, security/authentication, performance tuning, monitoring, and mentoring junior engineers. Minimum 3 years' experience; preferred experience with Workday Payroll, AI/automation solutions, Java and front-end technologies.

The Home Depot is hiring a Senior Software Engineer for Applied AI Acceleration to design, build, and scale enterprise-grade multi-agent AI systems and orchestration layers for marketing operations. Responsibilities include industrializing AI use cases, implementing model governance and observability, building RAG/vector DB solutions, integrating AI agents with MarTech/data systems, and mentoring engineers. Minimum 3 years' relevant experience. Travel: none. Posted pay range (for listed US locales) $80,000–$180,000 per year.

Senior technical leader within the Enterprise Data Warehouse (EDW) responsible for architecture, platform modernization, and hands-on backend data engineering. Preferred experience includes BigQuery, advanced SQL, Python, semantic layers (AtScale preferred), CI/CD and orchestration (Jenkins, Airflow), performance tuning, and enterprise data modeling. Minimum 3 years' experience. Pay range listed for certain residents: $120,000–$190,000 (USD/year).

The Home Depot seeks a Manager, AI Platform Engineering to lead a team building and operating an enterprise Generative AI platform, focusing on multi-model orchestration, AI agents, secure production deployments, and cross-functional collaboration. Requires software engineering experience (minimum 5 years), strong knowledge of Java/OOP, CI/CD, containerization (Docker/Kubernetes), cloud platforms (Azure/GCP), and familiarity with security, privacy, and responsible AI practices. Role includes people leadership, delivery execution, support, and occasional travel (5–20%).