Easter Seals Jobs

Position Summary...

What you'll do...

We are looking for a Principal Software Engineer to join the Personalization team under Customer Experience organization. You will be in the unique position to bring/influence a broader impact to the Walmart's customers and associates by building features and solutions that power the ML model inferencing and governance at scale, contributing to highly engaging customer experiences for Walmart customers across channels. If you are someone who feels a personal stake in everything that you work on, has a love for data, enjoys solving complex problems using machine learning engineering, has a passion for privacy, knows how to foster strong relationships and build trust, and works for the success of the entire team then this is just the right place for you. Our team consists of big data geeks, machine learning engineers, application engineers, data scientists, and product visionaries who are passionate about using cutting-edge machine learning, deep learning, reinforcement learning, natural language processing solutions with data at the scale of Walmart to deliver personalization and recommendation products.

About the Team:

The Personalization team consists of big data geeks, machine learning engineers, application engineers, data scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are focused on building an intelligent system that will enable 1:1 personalized customer experience, from finding the product to delivering it to the customer. We are building platforms and data solutions that is used to generate ML features that powers the ML model inferencing, governance, privacy, and analytics at large scale. Our team partners with the data scientists that train state-of-the-art probabilistic models on these ML features to serve our customer needs by leveraging cutting edge machine learning, deep learning, reinforcement learning, natural language processing, entity-relationship extraction, and knowledge representation.

*Immigration Sponsorship is not available in this position*

What you'll do:

• Build data-driven platforms and capabilities to power Personalization experiences across site, app, stores, voice commerce.

• Architect solutions which could be deployed as SaaS platform, ensuring modular design to support multi-tenancy from it's core.

• Architect systems and platforms that will orchestrate technology roadmap for cross-functional teams to meet enterprise goals.

• Architect systems and workflows to process and manage petabyte scales of features data.

• Collaborating with Science and Engineering team leads and architects to drive end-to-end scalable solutions for cross-functional projects.

• Work closely with business and product stakeholders to define strategy, vision, and roadmap for top initiatives in Personalization and Recommendations.

• Actively propose, review and present technical solutions including architecture design, implementation details and customer and business impacting KPIs.

• Actively contribute to the research community through participation at conferences, seminars, and workshops.

What you'll bring:

• You have experience in architecting large-scale distributed systems and platforms that support modern applied ML at scale.

• You have experience architecting modularized solutions adhering to SaaS platform and deploying it in large scale enterprise setup .

• You have advanced knowledge of complex software design, distributed system design, design patterns and application building experience using Java or Scala.

• You have experience in building and scaling systems that orchestrate and execute complex workflows in big data leveraging Apache Spark, Apache Kafka , and BigData stack preferably in Google Cloud Platform.

• You have experience with designing and building Feature Store solutions that can support context-aware real-time ML inferencing.

• You have experience in designing ML features and models from structured and unstructured data.

• You have experience with ML Platform and ML Ops methodologies.

• You have experience in building datasets, tools, and services supporting big data and analytics operations.

• You have experience in evaluating and fine-tuning systems for speed, robustness, and cost efficiency.

• You have experience in relational SQL and NoSQL databases like Cassandra, AzureSQL, Cosmos .

• You are familiar with CI/CD and release management processes used in software engineering field.

• You have strong written and oral communication, and presentation skills.

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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

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.

Benefits and Perks:

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.

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 .

Sunnyvale, California US-07003:The annual salary range for this position is $143,000.00-$286,000.00

Bentonville, Arkansas US-10735:The annual salary range for this position is $110,000.00-$220,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include:

• Stock

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and5 years' experience in software engineering or related area.

Option 2: 7 years' experience in software engineering or related area.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 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.

Primary Location...

860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America

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, abilities, ideas and opinions- while being inclusive of all people.