Principal Software Engineer Machine Learning

Company:  Walmart
Location: Sunnyvale
Closing Date: 21/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

What you'll do...

Our team collaborates with Walmart International, which has over 5,900 retail units operating outside of the United States under 55 banners in 26 countries including Africa, Argentina, Canada, Central America, Chile, China, India, Japan, and Mexico, to name a few. International Search and Recommendations platform is a multi-tenant framework that powers the browse and search experiences for Mexico, Canada, and other Walmart International sites. The team drives innovation in Machine Learning Relevance and Ranking algorithms to provide optimized results for our customers and drive business KPIs. Our engineers are versatile, display leadership qualities and enthusiastic to take on new problems across the full stack as we continue to push technology forward. We're looking for a Principal Software Engineer to join our International Digital Experiences team.

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.
  • Utilize the broad and deep knowledge of ML and Software Engineering to contribute to the roadmap of Walmart’s core machine learning capabilities.
  • Possess excellent communication skills to be able to communicate with peers and stakeholders.
  • Identify opportunities at the engineering and product side and influence leaders and engineers to solve high impact problems.
  • Mentor, coach and strengthen the technical expertise within the team.
  • Provide guidance and drive engineering excellence covering site reliability, alerts & monitoring, product health and portability.

What you'll bring:

  • 10+ years of experience providing technical and architectural guidance, with 3+ years in technical lead or architect roles.
  • Minimum 4 years of experience with database languages (SQL, PL/SQL, PG-PL/SQL), version control (Git), data structures and algorithms.
  • Minimum 4 years of experience in writing production quality software with Python; knowledge of Unit testing in Python, Mocking, Pytest.
  • Minimum 4 years of experience in architecting ML solutions given an abstract business problem.
  • Minimum 2 years of experience with MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions on the cloud.
  • Minimum 2 years of experience building training and inference pipelines.
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) with knowledge of model serialization and deserialization.
  • Hands on experience with building data pipeline with Spark, Hadoop, Presto, Redshift and/or Hive.
  • Experience with GCP services like Vertex AI and Kubeflow are desirable but not required if they have experience with comparable services like Airflow, Argo etc.
  • Prefer experience with building Machine Learning models and pipelines related to Search, Retrieval and Ranking.
  • Exposure to core java, spring suite of products, complex microservice integration design patterns, messaging and pub sub frameworks.

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. 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: 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.

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