Senior, Software Engineer - Machine Learning Engineer
Job Description
Position Summary...
What you'll do...
What you'll do...
Cortex Team is Walmart's core A.I. conversational platform, powering the vision of delivering the worlds best personal assistants to Walmarts customers, accessible via natural voice commands, text messages, rich UI interactions, and a mix of all of the above via multi-modal experiences.
We believe conversations are a natural and powerful user interface for interacting with technology and enable a richer customer experiences both online and in-store. We are building and designing the next generation of Natural Language Understanding (NLU) services that other teams can easily integrate and leverage, and build rich experiences: from pure voice and text shopping assistants (Siri, Sparky), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes (Me@Walmart).
Interested in diving in?
We need solid engineers with the talent and expertise required to
design, build, improve and evolve our capabilities in at least some of
the following areas:
- Service oriented architecture in charge of exposing our NLU
capabilities at scale, and enabling increasingly sophisticated model
orchestration.
- Since the service takes in traffic for a large set of Walmart
customers (that is 80% of American households!), you will get to
solve non trivial challenges in terms of service scalability and
availability.
- You will design and build the primitives to efficiently orchestrate
model-serving microservices, taking into account their dependencies,
and improving the /combined/ latency and robustness of such
microservices (e.g. fan out in parallel to N services for a single
request, and reply with whichever gives the fastest answer).
- You will also bake-in functionality which can drive improved machine
learning modeling and experimental design, such as A/B testing.
- Model serving and operations
- There is a constant tension between model improvements (more
computations) and model serving latency. So, we are always in a
quest of crunching more numbers, while preserving our SLAs, and
controlling the operational costs.
- You will guide our efforts to always find the best tradeoffs in
terms of architecture, tooling (Tensorflow serving / ONNYX /
Triton) and infrastructure (CPU / GPU, GCP/Azure) for model
serving -- based on the latest model developments and product
requirements.
- In particular, you will drive principled and scientific load-testing
efforts, to clearly identify the tradeoffs at hands, and
tune/optimize the model-serving stack.
- Tooling, infrastructure and pipelines for reproducible workflow and
models, enabling rapid innovation across the entire product lifecycle.
- You will author and maintain pipelines that safely build and deploy
models to production via continuous deployment.
- You will achieve scalable and efficient resource management
capabilities (cloud infrastructure).
- You will provide robust and built-in diagnostics for quality control
throughout.
- You will integrate -- or build -- labeling tools which can
seamlessly integrate at the heart of our conversation data store
(GCP, BigQuery) and intertwine multiple labeling sources of various
confidence levels.
Come at the right time, and you will have an enormous opportunity to
make a massive impact on the design, architecture, and implementation of
an innovative, mission critical product, used every day, by people you
know, and which customers love.
As part of the emerging tech group, you will also have the additional
opportunity of building demos, proof of concepts, creating white papers,
writing blogs, etc.
Minimum Qualifications
- Solid data skills, sound computer-science fundamentals, and strong
programming experience.
- Deep hands-on technical expertise in full-stack development.
- Programming experience with at least one modern language with an
efficient runtime, such as Scala, Java, C++, or C#.
- Experience with at least one relational database technology such as
MySQL, PostgreSQL, Oracle, or MS SQL.
- Some level of fluency in Python (lingua-franca of our
data-scientists).
- Understanding of the challenge of distributed data-processing at
scale.
- Deal well with ambiguous/undefined problems; ability to think
abstractly.
- Ability to take a project from scoping requirements through actual
launch.
- A continuous drive to explore, improve, enhance, automate, and
optimize systems and tools.
- Capacity to apply scientific analysis and mathematical modeling
techniques to predict, measure and evaluate the consequences of
designs and the ongoing success of our platform.
- Excellent oral and written communication skills.
- Bachelor’s degree or certification in Computer Science, Engineering,
Mathematics, or any other related field.
Preferred Qualifications
- Large scale distributed systems experience, including scalability and
fault tolerance.
- Experience taking a leading role in building complex data-driven
software systems successfully delivered to customers
- Relentless focus on scalability, latency, performance robustness, and
cost trade-offs -- especially those present in highly virtualized,
elastic, cloud-based environments.
- Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or
AWS as well as infrastructure management tech (Docker, Kubernetes)
- Experience building/operating highly available systems of data
extraction, ingestion, and massively parallel processing for large
data sets. In particular experience in building large scale data
pipelines using big data technologies (e.g. Spark / Kafka / Cassandra
/ Hadoop / Hive / BigQuery / Presto / Airflow).
- Hands-on expertise in many disparate technologies, typically ranging
from front-end user interfaces through to back-end systems and all
points in between.
- Familiarity with Machine Learning concepts & processes
- Masters or PhD in Computer Science, Physics, Engineering, Math, or
equivalent.
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 https://one.walmart.com/notices.
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.
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 One.Walmart.
The annual salary range for this position is $117,000.00-$234,000.00
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 3 years’ experience in software engineering or related area.Option 2: 5 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.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America
