Staff, Machine Learning Engineer

International Recommendations platform is a multi-tenant framework that powers the personalization experiences for Mexico, Canada, and other Walmart International sites. The team drives innovation in Machine Learning to provide personalized results for our customers and drive business KPIs.As a Staff Software Engineer, you’ll spend your days translating requirements into solutions, writing code, collaborating with teams, and providing us with the insights necessary to think beyond the status quo. You’ll oversee small project teams consisting of other engineers who will look to you as a trusted advisor, a subject matter expert who provides guidance and the right tools.“Immigration sponsorship is not available in this role"About Team:Focusing on customer, associate and business needs, this team works with Walmart International, which includes more than 5,200 retail units, operating in 23 countries such as Canada, Central America, Chile, China, India, Mexico and South Africa to name a few.What you'll do:• Design scalable, low-latency services to host models; productionize prototypes on the cloud, including data pipelines, training & inference pipelines, and pre & post-processing routines.• Build, tune, and optimize machine learning models; collaborate with data scientists to refine data models, design improvements, conduct experiments, and iteratively improve results.• Develop and optimize data pipelines to collect, consolidate, and normalize data to feed to machine learning models for offline evaluation and real-time execution.• Create monitoring dashboards; perform latency tuning of deep learning models, scaling solutions to enterprise level; investigate and resolve performance issues.• Run experiments to compare models, features, and hyperparameters; utilize A/B testing and continuous monitoring to validate and adjust models.• Utilize the broad and deep knowledge of ML and Software Engineering to contribute to the roadmap of Walmart’s core machine learning capabilities.• Work closely with our product, design, and UX teams to create amazing and intuitive experiences that make it effortless to connect different apps together.• Help put tools, processes, and documentation in place to improve our code quality.• Demonstrate technical expertise in solving challenging programming and design problems.• Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality); performing root cause analysis to reduce future issues; engaging support teams when needed; developing solutions; driving the development of an action plan; performing actions as designated in the plan; and completing online documentation.• Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.• Possess excellent communication skills to be able to communicate with peers and stakeholders.• Enjoy spending your day writing & reviewing code and also lead design discussions.What you'll bring:• Bachelor's Degree in Computer Science or related field and 10 years of experience in software engineering or Master's Degree in Computer Science or related field and 5 years of experience in software engineering• 4+ years of proven work experience in designing and Architecting cloud native, distributed, high performant and scalable microservices.• 4 years of experience with database languages (SQL, PL/SQL, PG-PL/SQL), version control (Git), data structures and algorithms• 4 years of experience in writing production quality software with Python; knowledge of Unit testing in Python, Mocking, Pytest.• 4 years of experience in architecting ML solutions given an abstract business problem• 3 years of experience with MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions on the cloud• 3 years of experience building training and inference pipelines• Hands on experience with building data pipeline with Spark, Hadoop, Redshift and/or Hive• Experience with Kubernetes, Helm, microservice architecture and design, and best practices around multithreading, networking, offline storage, and performance tuning• A disciplined approach to development, code review, testing, documentation, and code structure in a team environment.• Design/Architecting Applications in No-SQL database such Cassandra, and Azure Cosmos DB.• Utilize Industry Research and Innovation to build Next Generation systems to Improve Walmart Technology Environment.• Experience with GCP and Airflow is a plus.• Prefer experience with building Machine Learning models and pipelines related to personalization.About Walmart Global TechImagine 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.