Staff, Software Engineer- MLE
About The Position
Position Summary... What you'll do... As a Staff Machine Learning Engineer, you will play a key role in designing, developing, and deploying machine learning solutions that drive business value. You will collaborate with cross-functional teams to build scalable ML systems, contribute to technical strategy, and ensure best practices in ML engineering and MLOps. Key Responsibilities: Design, develop, and deploy end-to-end machine learning systems, including data ingestion, feature engineering, model training, deployment, and monitoring. Build and maintain scalable ML pipelines and infrastructure using modern cloud platforms (e.g., GCP, AWS, Azure) and orchestration tools (e.g., Kubernetes, Docker, Airflow). Develop robust API-based services and distributed systems for ML applications. Work closely with data scientists, software engineers, product managers, and DevOps teams to streamline model development and deployment. Apply software engineering best practices, including API design, automated testing, CI/CD, and observability for ML-driven systems. Contribute to innovation in MLOps, cloud-native technologies, and scalable AI infrastructure. Mentor junior engineers and promote a culture of technical excellence. Communicate technical concepts clearly to both technical and non-technical stakeholders.
Requirements
- Advanced proficiency in programming languages such as Python or Java, with a proven track record of delivering production-grade ML solutions.
- Experience designing, developing, and operationalizing ML systems in a cloud environment.
- Strong understanding of machine learning principles, model families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift).
- Experience with containerization (Docker), orchestration (Kubernetes), and workflow management (Airflow or similar).
- Proficient in SQL and modern data engineering practices.
- Skilled in version control (Git) and agile software development.
- 5+ years of industry experience in machine learning engineering or related fields.
- Strong communication and collaboration skills.
- Passion for MLOps, cloud technologies, and scalable AI systems.
- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area.
- 6 years' experience in software engineering or related area.
Nice To Haves
- Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area
- We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
- The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Responsibilities
- Design, develop, and deploy end-to-end machine learning systems, including data ingestion, feature engineering, model training, deployment, and monitoring.
- Build and maintain scalable ML pipelines and infrastructure using modern cloud platforms (e.g., GCP, AWS, Azure) and orchestration tools (e.g., Kubernetes, Docker, Airflow).
- Develop robust API-based services and distributed systems for ML applications.
- Work closely with data scientists, software engineers, product managers, and DevOps teams to streamline model development and deployment.
- Apply software engineering best practices, including API design, automated testing, CI/CD, and observability for ML-driven systems.
- Contribute to innovation in MLOps, cloud-native technologies, and scalable AI infrastructure.
- Mentor junior engineers and promote a culture of technical excellence.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
Benefits
- At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
- Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
- For information about benefits and eligibility, see One.Walmart.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
General Merchandise Retailers
Number of Employees
5,001-10,000 employees
