Senior, Software Engineer (Machine Learning)
Senior, Software Engineer (Machine Learning)
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$ 117000 - 234000
1 Vacancy
Job Description
Position Summary...
What youll do...
As a Senior Machine Learning Engineer you are a technical leader working at the intersection of machine learning and software engineering. You have expertise in both areas and are responsible for the full lifecycle of complex machine learning systems from initial ideas and design to deployment monitoring and updates. This role requires strong technical skills strategic planning system design ability and mentorship.
Senior Engineers dont just implement existing plans; they define the technical approach and architecture for systems. You will be important in setting and promoting best practices guiding technical direction in your area and possibly contributing to the overall engineering strategy. While your specific focus might align with roles like a Tech Lead guiding a team an Architect defining a critical technical area or a Solver tackling high-risk problems the core elements are technical leadership system-level thinking and broad impact. You will balance hands-on work with system design and technical guidance.
About Team:
Our eCommerce Search team is an integral part of Walmart International which encompasses over 5200 retail units across 23 countries including Canada Central America Chile Mexico and South Africa. We are dedicated to building a cutting-edge machine learning platform that addresses the diverse needs of customers associates and the business. Our mission is to enhance the shopping experience for millions of customers worldwide by leveraging advanced technologies and innovative solutions.
What youll do:
End-to-End ML System Development: Lead the design development implementation testing and deployment of reliable and scalable machine learning systems and infrastructure. This includes building and optimizing components such as model training and validation workflows and efficient model serving systems. You will contribute to the system lifecycle ensuring its reliability and maintainability.
Technical Contribution & Guidance: Contribute to the definition of the technical strategy and system architecture for significant machine learning projects. Provide technical guidance and mentorship to other engineers on the team promoting engineering best practices. You will participate in making key design decisions considering trade-offs like complexity performance cost and maintainability.
Software Engineering Proficiency: Apply strong software engineering practices throughout the ML development process. Promote and utilize practices for writing clean modular tested and maintainable code. Utilize best practices for version control (Git) automated testing and continuous integration and deployment.
Collaboration & Communication: Effectively collaborate with cross-functional teams including product managers data scientists and other engineers to understand requirements and deliver impactful solutions. Clearly communicate technical concepts and project progress to both technical and non-technical stakeholders.
Troubleshooting business and production issues by reviewing and analyzing information (for example issue impact criticality possible root cause); engaging support teams to assist in the resolution of issues; formulating an action plan; directing actions as designated in the plan; interpreting the results to determine further action; performs root cause analysis to prevent future occurrence of issues; and completing online documentation.
What youll bring:
Large-Scale Data Platforms: Experience with distributed data processing tools like Apache Spark and cloud data platforms like Snowflake or Databricks.
MLOps Tooling: Experience with MLOps tools for experiment tracking (e.g. MLflow) orchestration (e.g. Kubeflow Pipelines Airflow) model registries and CI/CD for ML.
Infrastructure & Cloud: Experience designing building and managing microservices. Familiarity with containerization (Docker) and orchestration (Kubernetes). Experience with a major cloud provider (AWS GCP Azure).
Advanced ML Areas: Knowledge in specific ML areas relevant to our work such as Recommender Systems Natural Language Processing (NLP) Large Language Models (LLMs) Computer Vision Reinforcement Learning or Causal ML.
Leadership & Community: Experience in technical leadership beyond specific projects like leading technical groups significant open-source contributions or publications.
5 years of experience in developing and deploying machine learning systems in a production environment.
Experience in building n-tier highly scalable fault tolerant reactive Microservices using Java/Scala and RESTful architecture.
Strong understanding of machine learning algorithms data modeling and evaluation metrics.
Proficiency in programming languages such as Python.
Experience with relevant ML frameworks and libraries (e.g. TensorFlow PyTorch scikit-learn).
Experience building and managing data pipelines and feature stores.
Solid understanding of software engineering principles and best practices.
Experience with cloud platforms (e.g. AWS GCP Azure) and containerization technologies (e.g. Docker Kubernetes) is a plus.
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers data scientists cybersecurity experts and service professionals within the worlds leading retailers 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 on a scale that impacts 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 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 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 belonging - 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.
For information about PTO see Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sams Club facilities. Programs range from high school completion to bachelors 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 . Outlined below are the required minimum qualifications for this position. If none are listed there are no minimum qualifications. Outlined below are the optional preferred qualifications for this position. If none are listed there are no preferred qualifications.Minimum Qualifications...
Preferred Qualifications...
Primary Location...
840 W California Ave Sunnyvale CA 94086-4828 United States of America
Employment Type
Full-Time
