Walmart-posted 7 months ago
$110,000 - $264,000/Yr
Full-time • Mid Level
Bentonville, AR
General Merchandise Retailers

Walmart is a multi-national people-led tech-powered omni channel retailer with over 2.2M associates. At People.AI, we help, support and empower the HR department with AI and Gen AI solutions to improve productivity, harness the opportunities for growth, focus on well-being and cultivate cultures of belonging to all Walmarts associates. People.AI is seeking a highly skilled and experienced Staff Machine Learning Engineer. You will be responsible for leading the development of innovative Machine Learning and Generative AI systems, as well as architecting enterprise-grade Machine Learning platform, microservices, and pipelines. The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.

  • Lead/Participate the design, development, and implementation of complex machine learning solutions that drive business results.
  • Upholding ML Engineering best practices- enforcing high standards for quality, reliability, and security in deployed machine learning solutions.
  • Work cross-functionally with business, product, data science, front-end engineering, and data engineering teams to ensure alignment and achieve business goals.
  • Effectively communicate technical work to senior/executive leaders in both technical and non-technical settings.
  • Stay up-to-date with the latest AI/ML technologies and trends - acting as a thought leader for ML Engineering within the organization and in the broader technical community.
  • Mentor junior team members by providing guidance and support to achieve their full potential and improve team efficiency.
  • Deep knowledge and experience in building complex, large-scale, mission-critical machine learning applications with microservice architecture in Kubernetes.
  • Proven programming skills using standard ML tools such as Python, Tensorflow, Py Torch, CUDA, and related framework and libraries.
  • Highly resourceful and methodical in solution/architecture/API/codebase design and ability to translate product requirement into engineering blueprint.
  • Experience with common ML model serving framework, especially for NLP models/applications.
  • Familiarity with Gen AI/LLMs and related tooling ecosystem a plus.
  • Experience developing and maintaining ML engineering processes and best practices, including code reviews, automated testing, performance optimization, and model monitoring.
  • Exceptional leadership and interpersonal skills, with the ability to synthesize requirements across multiple domains and influence stakeholders/peer teams for strategic alignment.
  • Strong problem-solving and analytical skills, with an ability to approach problems in a logical and systematic manner.
  • 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.
  • 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.
  • 401(k) match
  • Stock purchase plan
  • Paid maternity and parental leave
  • PTO
  • Multiple health plans
  • Incentive awards for performance
  • Short-term and long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • Live Better U education benefit program
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