Position Summary...
What you'll do...
for developing and implementing machine learning algorithms and models to enhance our personalized recommendation systems. You will collaborate closely with cross-functional teams to understand business requirements and develop innovative solutions using machine learning techniques. The ideal candidate will have a strong background in machine learning, data analysis, and programming, along with excellent problem-solving and communication skills.
What you'll do :
- Collaborate with the Personalization Team in Sunnyvale to understand business requirements and develop machine learning solutions for personalized recommendation systems.
- Design and implement advanced machine learning and computer science algorithms in the Personalization e-commerce platform.
- Continuously monitor and evaluate feature and model performance, making necessary improvements and enhancements.
- Collaborate with engineers to integrate machine learning models and algorithms into existing systems and platforms.
- Conduct experiments and A/B testing to measure the impact of new models and algorithms.
- Stay up-to-date with the latest advancements in machine learning techniques and technologies, and proactively apply them to improve our recommendation systems.
- Mentor and provide guidance to junior machine learning engineers, promoting knowledge sharing and technical growth within the team.
- Collaborate with data engineering teams to ensure the availability and quality of data required for model training and evaluation.
- Experience with developing and writing unit-test and regression test cases for new software features and enhancements
- Stay updated with industry trends and best practices in machine learning and artificial intelligence.
What you'll bring :
- Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field with 5+ experience as a Software Engineer , or similar role.
- Strong understanding of machine learning concepts, algorithms, and frameworks.
- Proficient in Java, Python programming language and relevant libraries such as TensorFlow, PyTorch, scikit-learn , etc.
- Experience with NoSQL systems like Cassandra, Couchbase systems .
- Experience with Springboot or similar RestAPI interfaces .
- Experience with big data processing technologies like Apache Spark .
- Experience in developing and deploying machine learning models in a production environment.
- Familiarity with cloud platforms such as AWS, GCP, or Azure . Should be able to spin up and deploy to cloud platforms.
- Strong problem-solving skills and ability to think creatively to develop innovative solutions.
- Excellent communication and collaboration skills, with the ability to effectively present complex ideas to both technical and non-technical stakeholders.
- Ability to work independently and in a team environment.
- Experience in
personalization and recommendation systems
. - Experience with
natural language processing (NLP) and text mining
. - Knowledge of
deep learning techniques and frameworks
. - Experience with
distributed computing and parallel processing
. - Familiarity with Agile development methodologies.
- Publications or contributions to the machine learning community.
:
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 expert's 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.
:
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 :
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.
:
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.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see .
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 .
The annual salary range for this position is $143,000.00-$286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock
Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area.
Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America