Senior Software Engineer - Machine Learning (Remote)

The Home Depot•GEORGIA - VIRTUAL - GA01, GA

4d•$90,000 - $170,000•Remote

About The Position

The Discovery Intent and Guidance (DIG) team is a specialized engineering and product unit within the broader Discovery and Recommendations Platform. We are focused on building the core architectural and machine learning capabilities that power the digital product recommendation journey across all customer touchpoints. Our ultimate goal is to create a seamless, cohesive, and highly explainable product discovery experience for our users. We are seeking a highly skilled and highly motivated Senior Software Engineer to join the DIG team. In this role, you will play a critical part in designing, building, and modernizing the systems that drive our recommendation engines. You will work at the intersection of core backend engineering, data processing, and cutting-edge artificial intelligence, helping to integrate large language models (LLMs) and agentic workflows into our product discovery ecosystem. As a senior member of the team, you will also be expected to lead system design initiatives, mentor junior engineers, and drive best practices in scalable architecture.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
3-5 years of experience
Strong in at least one of: Java, Scala, Python
Microservices — REST APIs, gRPC, event-driven architecture (Pub/Sub, Cloud Tasks)
System Design — Distributed systems, scalability, fault tolerance, API gateway patterns
GCP Core — Compute Engine, GKE, Cloud Run, Cloud Functions, IAM
BigQuery — Advanced SQL, partitioning, clustering, cost optimization
Pipelines — Dataflow (Apache Beam), Dataproc (Spark), batch and streaming
Storage — Bigtable, Cloud Storage, Firestore
Orchestration — Cloud Composer (Airflow), Workflows
Vertex AI — Model training, hyperparameter tuning, pipelines, model registry
Frameworks — TensorFlow, PyTorch, scikit-learn
MLOps — Model serving (Vertex AI Endpoints), monitoring, retraining pipelines
Feature Store — Vertex AI Feature Store
AI & LLM Gemini — Gemini API, Gemini Pro, multimodal usage
Vertex AI Generative AI — Model Garden, grounding, tuning
RAG — Retrieval Augmented Generation, Vector Search (Vertex AI Vector Search)
Agentic AI — Multi-agent frameworks, tool use, autonomous workflows
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Nice To Haves

Search ML — Ranking, relevance tuning, embeddings (nice to have)

Responsibilities

Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide.
Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm.
Consistently achieves results, even under tough circumstances.
Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production.
Takes a broad view when approaching issues; using a global lens.
Learns through successful and failed experiment when tackling new problems.
Actively seeks ways to grow and be challenged using both formal and informal development channels.
Collaborates with other team members in agile processes.
Creates new and better ways for the organization to be successful.
Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable.
Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Adapts approach and demeanor in real time to match the shifting demands of different situations.
Relates openly and comfortably with diverse groups of people.
Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions.