Mobile Software Engineer

Position Summary...

What you'll do...

About the team

Walmart's Machine Learning Engineering (MLE) team is seeking a motivated, curious, and diligent Senior Machine Learning Engineer to expand and evolve our machine learning (ML) services and MLOps practices. Our team works closely with Data Scientists, Data Engineers, Software Engineers, and Product teams to architect the ML system, deploy ML models as real-time inferencing web services and/or batch inference jobs, scale the services to meet production needs, monitor the service health and predictive performance, and re-train the models as needed.

You may work on:

• Work in an Agile environment as part of a scrum team
• Design end-to-end system architecture for data-intensive applications
• Develop and deploy production-grade real-time/batch machine learning services
• Collaborate with applied researchers and data scientists to iteratively improve our ML models
• Support production operations by participating in on-call rotations

About you

• You are excited about building distributed machine learning systems at scale in production
• You are thorough and detail oriented
• You believe in the importance of establishing work standards and leveraging automations
• You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms
• You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others

Must-have experiences

• Exceptional at writing high-performing production-quality code in Python
• Hands-on experience designing and building end-to-end Machine Learning applications
• Familiar with version control using Git in collaboration settings
• Good understanding of common families of models, feature engineering, feature selection and other practical machine learning issues, such as data drift
• Comfortable working with Linux and containers

Supplemental skills

• Experience developing end-to-end CI/CD pipelines
• Experience with Kubernetes
• Experience building and maintaining large-scale data pipelines in online advertising, recommender system, ecommerce, or relevant areas

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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Benefits & Perks: 

Beyond competitive pay, 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.

We’re virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting.  Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We’ll collaborate in person at a regular cadence and with purpose.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications
Bachelor of Science and 2 years' data science experience OR Master of Science and 1 year's data science experience.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related fieldBachelors: Analytics, Bachelors: Economics, Bachelors: Mathematics, Bachelors: Statistics, Doctorate: Analytics, Doctorate: Economics, Doctorate: Mathematics, Doctorate: Statistics, Masters: Analytics, Masters: Economics, Masters: Mathematics, Masters: StatisticsBusiness Analytics - Certification, Data Mining - Certification, Statistical Analysis - Certification

Primary Location...

350 N SAINT PAUL ST, DALLAS, TX 75201-4240, United States of America