Posted:
9/25/2024, 9:01:17 AM
Location(s):
California, United States ⋅ Sunnyvale, California, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics ⋅ Software Engineering
Workplace Type:
Hybrid
Position Summary...
What you'll do...
About The Team:
We invite you to become part of a team that is dedicated to the development of data-driven models and services. Our primary focus is on driving high-quality demand from a plethora of digital platforms, including Google, Bing, Facebook, and Pinterest, to Walmart's E-Commerce sites.
What you will do:
As a member of our machine learning platform team, your responsibilities will encompass:
• The development and deployment of a foundational AI layer along with Gen AI models for online inferencing. This is crucial for supporting applications such as Ads moderation, social commerce, etc.
• The development and maintenance of a robust, scalable machine learning platform, facilitating end-to-end machine learning operations from model development and versioning to deployment.
• The creation, deployment, and maintenance of high-quality web-based dashboard systems to draw visual insights from our ever-expanding dataset, monitor machine learning models, and evaluate model performance via A/B testing.
• The development, testing, and deployment of big-data and machine learning pipelines, encompassing data ingestion, model production, and visualization.
• Efficient management of public cloud services, using public cloud tools and resources to scale our storage and computation capabilities on the Google Cloud Platform.
What you will bring:
We are looking for individuals who possess:
• Proficiency in at least one programming language such as Python, Java, C++, or JavaScript.
• A solid understanding of data structures and algorithms.
• Extensive knowledge and experience in distributed inferencing in GPUs, LLM serving framework, and PyTorch/Tensorflow, etc.
• Knowledge and experience in Linux, public cloud computing, Docker, and Kubernetes.
• Experience in the development of REST API services.
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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.
The annual salary range for this position is $143,000.00-$286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), 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.Website: http://www.walmart.com/
Headquarter Location: Bentonville, Arkansas, United States
Employee Count: 10001+
Year Founded: 1962
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: E-Commerce ⋅ Grocery ⋅ Retail ⋅ Retail Technology ⋅ Shopping