Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

(USA) Senior, Machine Learning Engineer

Walmart Global Tech17,707 open roles

Where
(USA) SUNNYVALE TECH CORNERS BLDG 6 CA SUNNYVALE Home Office
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen now(USA) Senior, Machine Learning EngineerWalmart Global Tech · (USA) SUNNYVALE TECH CORNERS BLDG 6 CA SUNNYVALE Home Office

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Walmart Global Tech's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Walmart Global Tech postings stay open a median of 27 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted yesterday

Walmart Global Tech median: 27 days open

The posting

Position Summary...

The Senior Machine Learning Engineer will lead the design, development, and deployment of scalable machine learning solutions that address complex business challenges, with a primary focus on building auto-research capabilities that automate model training optimization, experimentation, and evaluation to accelerate the ML development lifecycle. This role requires collaboration with cross-functional teams to deliver robust, production-ready models and data pipelines while ensuring compliance with security and governance standards. Additionally, they will provide technical leadership, mentor peers, and drive continuous improvement to enhance system reliability and innovation aligned with organizational goals.

About the team:

Our team develops foundational models tailored for Walmart’s e-commerce platform by leveraging large-scale user interactions to create rich representations of users, products, and search queries. These models enable scalable search, advertising, recommendation, and personalization solutions. Team members apply expertise in data science, machine learning, and software engineering to optimize model performance, training, and deployment. With a strong focus on data quality, advanced analytics, and impactful visualization, the team delivers actionable insights that influence key business outcomes. Cross-functional collaboration drives innovation and continuous improvement in a dynamic technology environment.

What you'll do...

  • Collaborate with engineers, data scientists, and product teams to deliver machine learning features and models.
  • Design and develop auto-research capabilities that automate model training, optimization, experimentation, and evaluation, enabling AI agents to iteratively tune hyperparameters and run experiments against defined objective metrics.
  • Surface the best-performing models with minimal manual intervention, accelerating the overall machine learning development lifecycle.
  • Implement, test, and support machine learning services, APIs, and data pipelines, ensuring quality and reliability.
  • Apply MLOps practices, including CI/CD, model versioning, and automated retraining, to sustain performance.
  • Conduct rigorous model evaluation, monitoring, and maintenance to address model drift and performance issues.
  • Ensure secure, compliant machine learning engineering aligned with enterprise AI governance standards.

What you'll bring:

  • Proven expertise in designing, developing, and deploying scalable machine learning systems using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Strong proficiency in programming languages including Python, SQL, Java, and C++ to build production-ready machine learning applications.
  • Hands-on experience operating agentic or autonomous research systems.
  • Experience running automated experimentation against defined objective metrics through AutoResearch loops.
  • Experience with machine learning lifecycle management, including data sourcing, feature engineering, model training, evaluation, deployment, and monitoring.
  • Knowledge of MLOps practices such as CI/CD, model versioning, automated retraining, and telemetry to ensure system reliability.
  • Ability to implement secure, compliant machine learning pipelines that adhere to enterprise AI governance standards.
  • Demonstrated collaboration and mentorship capabilities within cross-functional teams to drive technical excellence.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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 $143,000.00 - $286,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include :

- Stock

ㅤ

ㅤ

ㅤ

ㅤ

‎

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, machine learning engineering, AI systems or related area. Option 2: 5 years’ experience in software engineering, machine learning engineering, AI systems 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 years' experience in software engineering, machine learning engineering, AI systems or related area., Prior work experience in accessibility best practices., Prior work experience 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.

Primary Location...

815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Walmart Global Tech's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Walmart Global Tech's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Walmart Global Tech's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.