Software Engineer III - Machine Learning

Wal-Mart•Sunnyvale, CA

40d•$117,000 - $234,000•Hybrid

About The Position

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. 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.

Requirements

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 TensorFlow 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.

Nice To Haves

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.

Responsibilities

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.

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.
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.
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.

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