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Software Engineer III, Machine Learning Engineer

What you'll do at Position Summary What you'll do As a company, Walmart primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. The Display Ads ML team builds services that enable advertisers to efficiently capture and predict user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers' goals in auction ranking, allowing them to maximize installs, key conversions, or return on ad spend. As the primary owners of the engagement prediction and bid recommendation systems, the team is responsible for a central part of the ads delivery system that generates bid recommendation considering advertiser objectives and user engagement scores. Given the centrality of this system, the team also regularly conducts highly rigorous and controlled experiments to measure the impact of improvements to these systems. Some of the project highlights include maximizing conversions campaign optimization, which uses real-time data to meet advertisers' key objectives. The Software Engineer III, Machine Learning Engineer will work closely with technical leaders to build new advertiser optimization products that significantly increase the efficiency and ROI for the advertisers. You will be responsible for your quality and technical approach within the team; partner with other team members in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the group's culture and processes. You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers' voices are represented in your work. You will help design, conduct, and analyze experiments to quantify the impact of the systems that you build. We are seeking an engineer to join a team building state-of-the-art bidding optimization and user prediction systems. As a member of this team, you will help us uplevel the capabilities of Walmart Display Ads platform through innovative optimization products that enhance advertiser value. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: Execute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build Walmart-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry. Support the Model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness. Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs. Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the box What you'll bring: 2 years of contributing high-quality code to production systems that operate at scale. Participate the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch, Cassandra, BQ, Redis Solve complex problems with multilayered data sets, multi batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions. Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community. Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred. 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. The annual salary range for this position is $117,000.00-$234,000.00 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 and 2 years' experience in software engineering or related area.Option 2: 4 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. Customer Service, 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. Masters: Computer Science Primary Location 680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America About Walmart At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for? 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.
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What You Should Know About Software Engineer III, Machine Learning Engineer, Walmart

As a Software Engineer III, Machine Learning Engineer at Walmart in Cupertino, CA, you'll play a crucial role in driving our advertising revenue through innovative technology. Working on the Display Ads ML team, you'll develop cutting-edge machine learning models that allow advertisers to optimize their campaigns, predict user engagement, and minimize costs. Your responsibilities will include designing and implementing advanced engagement prediction and bid recommendation systems to maximize client satisfaction and return on investment. Collaborating closely with other engineers, product managers, and marketing specialists, you'll ensure that the tools you create genuinely reflect our customers' needs. With the opportunity to execute a roadmap for engagement modeling, your expertise will influence how we approach real-time data and campaign optimization. You’ll be part of an exciting team that is continually conducting rigorous experiments to improve our systems. Your input will help elevate the capabilities of Walmart’s Display Ads platform to new heights. We value innovative thinkers who can provide high-quality code and contribute to an inclusive working culture. As part of our commitment to employee well-being, Walmart offers competitive pay, generous PTO, health benefits, and a wealth of educational opportunities. Join us to be at the forefront of technology in retail and impact millions of customers while growing your career with us. Let's work together toward the future of advertising optimization!

Frequently Asked Questions (FAQs) for Software Engineer III, Machine Learning Engineer Role at Walmart
What are the main responsibilities of a Software Engineer III, Machine Learning Engineer at Walmart?

As a Software Engineer III, Machine Learning Engineer at Walmart, your main responsibilities include executing a roadmap for engagement and bid recommendation modeling, building optimizations to improve advertisers' outcomes, and supporting the model development lifecycle. You’ll collaborate with cross-functional teams to create high-quality machine learning solutions that align with business objectives while innovating in ML architecture.

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What qualifications are required for the Software Engineer III, Machine Learning Engineer position at Walmart?

Walmart's Software Engineer III, Machine Learning Engineer requires either a bachelor's degree in a relevant field plus two years of experience, or four years of experience in software engineering. Knowledge of Python, Node.js, machine learning platforms like TensorFlow or PyTorch, and best practices in ML engineering are essential to succeed in this role.

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How does the Software Engineer III, Machine Learning Engineer role contribute to advertising efficiency at Walmart?

In the Software Engineer III, Machine Learning Engineer role at Walmart, you'll contribute to advertising efficiency by designing machine learning models that optimize bid recommendations and user engagement predictions. This helps advertisers maximize their advertising ROI and ensures that the tools developed meet their specific needs and goals.

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What kind of projects can a Software Engineer III, Machine Learning Engineer expect to work on at Walmart?

Software Engineers III, Machine Learning Engineers at Walmart work on projects like engagement prediction systems, bid optimization algorithms, and real-time campaign optimization tools. You’ll leverage machine learning techniques to create industry-leading solutions that significantly enhance advertiser value and efficiency.

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What benefits can a Software Engineer III, Machine Learning Engineer expect when working at Walmart?

Walmart offers competitive pay, performance-based bonuses, comprehensive health benefits, and educational programs like Live Better U to its Software Engineer III, Machine Learning Engineers. Additionally, you will enjoy generous paid time off, retirement saving plans, and diverse career development opportunities while working in an inclusive culture.

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Common Interview Questions for Software Engineer III, Machine Learning Engineer
Can you explain a machine learning project you've worked on in the past?

In your response, outline the project's objectives, the data you used, the models you implemented, and any results achieved. Highlight your role and any particular challenges you overcame, as this shows your problem-solving skills and technical expertise.

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How do you ensure the quality and reliability of machine learning models?

Discuss your approach to validating models, whether through rigorous testing, using holdout datasets, or A/B testing. Emphasize your commitment to upholding ML engineering best practices that ensure the solution performs reliably and meets customer expectations.

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What programming languages and tools are you proficient in, and how have you used them in your projects?

Highlight your experience with relevant languages like Python and frameworks like TensorFlow or PyTorch, providing specific examples of how you've utilized them in building machine learning applications to demonstrate your technical skills.

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How do you stay up-to-date with the latest developments in machine learning?

Explain your strategies for keeping current, like attending workshops, enrolling in online courses, following relevant publications, and participating in ML communities. This shows your dedication to continuous learning and growth in your field.

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Describe a time you had to collaborate with cross-functional teams. How did you ensure communication was effective?

Share an example that illustrates your teamwork and communication skills. Talk about how you managed different perspectives and coordinated tasks, ensuring everyone remained aligned with project goals.

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What is your experience with experimentation in machine learning? How do you approach it?

Describe your methods for designing, conducting, and analyzing experiments, including defining key performance indicators (KPIs). Mention how you use results to iterate and improve your models, showcasing your analytical thinking.

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Have you ever faced a significant technical challenge in your projects? How did you overcome it?

Share a specific situation that demonstrates your problem-solving skills. Be clear about the obstacles you faced, the steps you took to address them, and the outcome of your actions.

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Can you explain the importance of deep learning in machine learning applications?

Discuss how deep learning can capture complex patterns in large datasets and provide practical examples where you've used them in projects, reinforcing your understanding of the topic and its applications.

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What metrics do you believe are crucial for assessing the performance of machine learning models?

Discuss metrics such as accuracy, precision, recall, F1 score, and ROC-AUC. Explain which are most relevant for your work and provide examples of how you've measured and optimized these metrics in your previous projects.

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How do you prioritize tasks when working on multiple projects simultaneously?

Share your prioritization strategies, mentioning how you assess project urgency and impact. Provide an example of a situation where your prioritization led to successful project completion while managing competing deadlines.

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December 16, 2024

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