Position Summary
We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on the web site, phone or the iPad, our service goes to work. We mine billions of search queries and hundreds of millions of products to find the most relevant products for our customers. Team members take end-to-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models to serve customers.
As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP or computer vision problems. The algorithms you develop will champion customers need to express their intent and our goal to understand their preferences, implicitly or explicitly, across devices and modalities (voice, text, image etc.). You will develop and deploy machine learned models, to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision. Your work will be visible to millions of customers and you will have a direct impact on the goals of the Fortune #1 enterprise.
About Team
Search Algorithm Team is dedicated to helping millions of customers find the ideal products every day. As part of the Ranking Team, your primary focus will be to enhance one of the key facets of product search - optimizing the ranking of relevant products based on multiple factors such as GMV, conversion, diversity, and cold start.
What You'll Do
- Applying machine learning ranking algorithms to maximize the relevance of search system and minimize risks.
- Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
- Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development.
- Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommender system.
What You'll Bring
- Ph.D. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields.
- You have 3+ years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale.
- You have experience with data cleaning, preparation, and featurization and selection techniques.
- You have experience working with large datasets to solve problems.
- You have experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop.
- You have/had hands-on experience with Python, Java or Scala and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
- You have effective communication, interpersonal and teamwork skills.
- You have the ability to handle multiple concurrent projects while working independently and in teams.
- You can work in a fast-paced and deadline driven environment.
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 experts 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.
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.
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.
Minimum Qualifications
Outlined below are the required minimum qualifications for this position:
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
- 5 years' experience in an analytics or related field.
Preferred Qualifications
Outlined below are the optional preferred qualifications for this position:
- 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).
Primary Location
221 River St, Hoboken, NJ 07030, United States of America
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