Senior ML Engineer: AutoResearch & MLOps for Enterprise AI

Walmart; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

Health benefits

401(k) & stock purchase

Paid time off

Disability benefits

Education benefit: Live Better U

Education expenses covered

Job summary

Walmart in Sunnyvale, CA is seeking an experienced ML Engineer to design and deliver scalable machine learning systems. You will partner with engineers, data scientists, and product teams to deliver ML features and models, and build auto-research capabilities that automate training, optimization, experimentation, and evaluation.

You will enable iterative hyperparameter tuning and monitor objective metrics, surfacing top models with minimal manual intervention to accelerate ML development and

Qualifications

• Experience designing, developing, and deploying scalable ML systems using TensorFlow, PyTorch, Scikit-learn.
• Strong programming skills in Python, SQL, Java, and C++ for production-ready ML apps.
• Hands-on experience operating agentic or autonomous research systems.

Responsibilities

• Partner with engineers, data scientists, and product teams to deliver ML features and models.
• Design and build auto-research capabilities that automate model training, optimization, experimentation, and evaluation.
• Enable iterative hyperparameter tuning and experiment execution against defined objective metrics.
• Identify and surface best-performing models with minimal manual intervention to speed up ML lifecycle.

Skills

TensorFlow

PyTorch

Scikit-learn

Python

SQL

Java

C++

AutoResearch

MLOps

CI/CD

Telemetry

Education

Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related area

5 years’ experience in software engineering, machine learning engineering, AI systems, or related area

Tools

CI/CD

AutoResearch

Telemetry

Job description

Walmart in Sunnyvale, CA is seeking an experienced ML Engineer to design and deliver scalable machine learning systems. You will partner with engineers, data scientists, and product teams to deliver ML features and models, and build auto-research capabilities that automate training, optimization, experimentation, and evaluation.

You will enable iterative hyperparameter tuning and monitor objective metrics, surfacing top models with minimal manual intervention to accelerate ML development and