Job Description

Position Summary...

What you'll do...

Intelligent Retail Lab is a innovation hub formed by the worlds largest retailer focused on identifying and investing in trends and technologies reshaping the shopping experience. Intelligent Retail Labs mission is to create step change in-store experiences, leveraging emerging technology to help define and deliver on evolving customer expectations. Its success requires a cross- functional, mission-based team that is highly entrepreneurial, collaborative and passionate about solving the unsolved problems.

As a Machine Learning Engineer you will be designing, training and deploying state-of-art AI models in real-world production environment. In conjunction with multiple product and technology groups, you will work to create a best-in-class consumer experience in the physical retail space.

What You Will Be Doing

* Design and development of advanced data analytic and computer vision algorithms
* Implementation and training of deep neural networks and other complex models based on state-of-art architectures
* Impact analysis and optimization of system parameters to minimize decision risk and maximize business value gain
* Development of distributed data preparation and model training pipelines
* Development of efficient inference code given memory and computational constraints of the underlying hardware
* Deployment of AI models and components to simulation, verification and production environments
* Validation of AI models and algorithms via rigorous development of unit, validation, integration and e2e tests
* Follow industry leading research and apply latest idea to deployable solutions
* Work with Product teams to shape inbound ideas into reality
* Ownership of the architecture and code that you bring to a production environment
* Work closely with the business to determine their strategic business requirements and measures system performance against expectations
* Play an active technical role in the planning phase of ongoing and new initiatives
* Support production systems, as required, through performance optimization, problem resolution, and timely issue communications.

Keys to Success

* You like a challenge.
* You want to work in and understand the roller coaster that a start-up is.
* No Ego.

Must Haves

* 3+ years machine learning experience, MA/MS in related Computer Science, Computer Engineering or equivalent, OR 5+ years industry experience
* Good understanding of machine learning, computer vision or data analysis theoretical foundations
* Good programming skills in Python
* Good knowledge of deep learning frameworks such as Tensorflow, Keras or Pytorch
* Familiarity with Pythons numerical, data analysis or AI frameworks such as Numpy, Pandas, Scikit-learn, Jupyter, etc.
* Exposure to some of the following: image recognition, object detection, semantic segmentation, object tracking, etc.
* Experience with classic machine learning, computer vision and/or deep learning systems
* Linux proficiency
* Experience with advanced analytic pipelines, preferable with unstructured data.
* You are a team player - that is, you're a nice person - see no ego
* Highly motivated and independent; good at prioritization and results oriented.
* A self-learner; ability to effectively adapt to rapidly changing technology and apply it to business needs, integrate multiple tools together to solve business problems.
* Proficient in scripting and automation with an emphasis on integration.

(Candidates will be considered in totality of their skills and experience versus strict interpretation of must haves.)

Nice to Haves

* Experience developing scalable data processing pipelines with DAG based distributed frameworks (e.g. Apache Spark, Dataflow)
* Experience with development of distributed model training pipelines
* Experience with complex image or video analytic pipelines
* Working knowledge of OpenCV framework
* Background in some of the following fields; machine vision, signal processing, graph theory, simulations, ontological reasoning, pattern recognition or mathematical optimization.
* Good knowledge of applied mathematics, ability to understand and implement research papers
* Familiarity with high performance Python extensions, ability to write optimized code in C++
* Experience in handling large datasets with cloud technology as GCP or Azure
* Familiar with container based virtualization and clustering technology (Docker, Kubernetes)

About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. Thats what we do at Walmart Global Tech. Were a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the worlds largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.

Were 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. Well 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.

Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3
years' experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science,
Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or
related field.



Preferred Qualifications...

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

Data science, machine learning, optimization models, Masters degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)