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Software Engineer III - Machine Learning

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: COMFORT SYSTEMS
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Position Summary

We are seeking a Software Engineer III to contribute to the development of intelligent ranking systems that power personalized shopping experiences across our e-commerce platform. This role involves participating in the design, development, and deployment of ranking models, collaborating with data scientists, and contributing to the ranking experimentation platform. You will also be responsible for developing and maintaining data and feature pipelines for machine learning model training and inference.

What

you'll do

We are looking for a Software Engineer to join our team and contribute to the development of intelligent ranking systems that power personalized shopping experiences across our e-commerce platform. This role is ideal for someone with a solid foundation in software engineering and a keen interest in applying machine learning concepts to build scalable systems. You will be involved in evolving the architecture of our ranking and retrieval systems, enabling rapid experimentation and continuous improvement in relevance, engagement, and conversion.

  • Participate in the design, development, and deployment of ranking models using both traditional and deep learning approaches.
  • Collaborate with data scientists and senior engineers to translate research into production-ready models.
  • Contribute to the development and maintenance of the ranking experimentation platform, including offline evaluation, online A/B testing, and real-time inference.
  • Assist in building and optimizing embedding-based retrieval systems using vector similarity search and representation learning.
  • Implement components for neural ranking models, including transformers and multi-task learning frameworks.
  • Develop and maintain data and feature pipelines for machine learning model training and inference.
  • Contribute to the overall technical vision and roadmap for ML infrastructure and ranking systems.
What You'll Bring
  • 3+ years of experience in software engineering.
  • Experience building and deploying software systems at scale, with some exposure to ranking, recommendation, or search systems.
  • Strong programming skills in Python, Java, or Scala.
  • Familiarity with ML frameworks like Tensor Flow or PyTorch.
  • Understanding of core machine learning concepts and algorithms.
  • Experience with data processing and ETL pipelines.
  • Familiarity with best practices in software development and testing.
Preferred Qualifications
  • Experience in e-commerce, retail, or large-scale consumer platforms.
  • Familiarity with concepts like learning-to-rank (LTR), embedding models, or neural IR techniques.
  • Exposure to vector databases (e.g., FAISS, Milvus, Weaviate, Pinecone) or approximate nearest neighbor (ANN) search.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Good communication and collaboration skills.
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 retailers who make an epic impact and are at the forefront of the next retail disruption.

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 on a scale that impacts millions and reimagine the future of retail.

Flexibile, 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 the 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…

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