The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.
What youll do:
We are looking for a Staff Machine Learning Engineer who can help build large scale AI/ML/Optimization products. Expected qualities include ability to build, deploy, maintain and troubleshoot large scale systems.
As a Staff ML Engineer, you ll have the opportunity to
* Design large scale AI/ML products/systems impacting millions of customers
* Develop highly scalable, timely, highly-performant, instrumented and accurate data pipelines
* Identify, develop, and deliver improvements on data performance, data quality and cost, which needs to be monitored and analyzed
* Enable data governance practices and process by being a passionate adopter and ambassador
* Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art
* Lead the team to develop production level code for implementation of AI/ML solutions using best practices to handle high scale and low latency requirements
* Perform fine-tuning operations on large language models to customize them for specific business needs
* Optimize large language models for performance and scalability in production environments
* Utilize and contribute to generative AI advancements to develop novel solutions that meet business requirements
* Collaborate with multiple stakeholders to drive innovation at scale
* Build a strong external presence through publishing your team s work in top-tier AI/ML conferences and developing partnerships with academic institutions
* Adhere to Walmart s policies, procedures, mission, values, standards of ethics and integrity
* Adopt to Walmart s quality standards, develop/recommend process standards and best practices across the retail industry
What youll bring:
* PhD with >5 years of relevant experience / 4-year bachelor s degree with > 10 years of experience / Master s degree with > 8 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.
* Demonstrated history of technology leadership and strong hands-on experience
* Proven records of scientific publications or intellectual property generation
* Past experience in strong programming skills across big data and ML engineering stack
* Strong communication skills with inclination to high ownership and commitment
Good to have:
* Experience with e-commerce domain.
