Senior Software Engineer - ML-E Conversational AI

Walmart

Sunnyvale, CA, USA Remote

Full-time

Engineering

Sep 4

What you'll do...


The Cortex team is the core A.I. platform powering the vision of

delivering the world’s best intelligent personal assistants to Walmart's

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, Google Assistant,

[Text to Shop]), 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.

Here are some of our team publications:

- Blog Posts

  - "Building a conversational assistant platform for voice-enabled

    shopping"

    <https://medium.com/walmartglobaltech/building-a-conversational-assistant-platform-for-voice-enabled-shopping-6d174cdc4131>

  - "Using Context to Improve Intent Classification in Walmart’s

    Shopping Assistant"

    <https://medium.com/walmartglobaltech/using-context-to-improve-intent-classification-in-walmarts-shopping-assistant-28f62d40fd17>

  - "Making Walmart’s Shopping Assistant Proactive"

    <https://medium.com/walmartglobaltech/making-walmarts-shopping-assistant-proactive-53a1764fcdee>

- Papers & Talks

  - Semantic Representation and Parsing for Voice eCommerce (Paper and

    Talk) - Vivek Kaul, Shankara B Subramanya, R2K Workshop at KR 2018

  - Knowledge Graphs for AI-Powered Shopping Assistants, GraphConnect

    2020, Ghodrat Aalipour, Mohammed Samiul Saeef

    <https://graphconnect2020.sched.com/event/atkC/knowledge-graphs-for-ai-powered-shopping-assistants>

  - Improving Intent Classification in an E-commerce Voice Assistant by

    Using Inter-Utterance Context (Paper + Talk) - Arpit Sharma,

    e-Commerce & NLP at ACL 2020

    <https://www.aclweb.org/anthology/2020.ecnlp-1.6/>


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.


[Text to Shop] <https://texttoshop.walmart.com/>

[Me@Walmart] <https://apps.apple.com/us/app/me-walmart/id1459898418>

 

Minimum Qualifications...

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

Bachelor’s degree in Computer Science and 3 years’ experience in software engineering or related field OR 5 years’ experience in software

engineering or related field.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 fieldPrimary Location...

680 WEST CALIFORNIA AVENUE, SUNNYVALE, CA 94086-4834, United States of America

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