Machine Learning Engineer

This range is provided by Walmart. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

The role focuses on designing and delivering production‑grade machine learning solutions that directly impact Walmart’s business. It requires deep expertise in ML architecture, MLOps, and cloud‑scale operations while mentoring a team of engineers.

• ML System Architecture & Delivery
  :
  Lead the design and implementation of scalable, production‑grade ML solutions that address business‑critical needs; translate complex or ambiguous problem statements into clear technical requirements, architectural designs, and success metrics; select and integrate appropriate ML frameworks (Scikit‑learn, Tensor Flow, PyTorch, XGBoost, Spark ML) and coding languages (Python, SQL, Java, C++, R); drive platform alignment by ensuring solutions leverage and contribute to Walmart’s shared ML infrastructure and tooling.
• End‑to‑End ML Lifecycle Execution
  :
  Oversee and contribute to all phases of the ML lifecycle—including data sourcing, feature engineering, model training, deployment, monitoring, and continuous improvement; apply MLOps best practices such as CI/CD for ML, automated training pipelines, model versioning, and telemetry‑based monitoring; implement robust evaluation frameworks for model performance, data quality, and fairness, ensuring compliance with responsible AI principles.
• ML Platform Engineering & Operations
  :
  Build and maintain reusable infrastructure components, including feature stores, model runtimes, SDKs, and workflow orchestration systems; manage large‑scale ML operations across cloud environments (AWS, GCP, Azure), leveraging containerization, Kubernetes, and workflow automation; implement observability tooling to track model behavior, detect drift, and ensure high availability and low latency in production environments.
• Technical Leadership & Mentorship
  :
  Provide hands‑on mentorship to engineers, guiding them through architectural decisions, implementation details, and debugging complex ML issues; set and enforce engineering standards for code quality, testing, deployment, and operational excellence; foster a culture of technical depth, peer learning, and collaboration across teams.
• Experimentation & Innovation
  :
  Design and manage experimentation pipelines for hypothesis testing, A/B experiments, and continuous model iteration; explore advanced techniques such as AutoML, neural architecture search, domain‑specific NLP tooling, and multimodal architectures to accelerate solution delivery; share innovations and learnings through technical documentation, presentations, and cross‑team forums.
• Technical Ownership & Judgment
  :
  Demonstrate responsibility for deliverables, ensuring solutions meet quality standards and business objectives; apply sound reasoning to make informed technical decisions, balancing trade‑offs and considering long‑term impacts on system architecture and business goals; adapt quickly to change, embrace new technologies, anticipate downstream effects, and integrate feedback to improve outcomes.
• Collaboration & Continuous Improvement
  :
  Work effectively across teams, openly share knowledge, and communicate complex ideas clearly to both technical and non‑technical stakeholders; proactively seek opportunities to enhance processes, tools, and products; encourage experimentation and learning to drive ongoing improvement.

• Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering, machine learning engineering, AI systems or related area.
• OR 6 years of experience in software engineering, machine learning engineering, AI systems or related area.

• Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering, machine learning engineering, AI systems or related area.
• Experience creating inclusive digital experiences, demonstrating knowledge in…