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Associate Machine Learning Jobs in Dublin, CA (NOW HIRING)

Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

Applying machine learning algorithms to maximize the relevance of search system and minimize risks ... Focus on our Associates / Belonging - Identifies, attracts, and retains top talent; builds a high ...

Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

Applying machine learning algorithms to maximize the relevance of search system and minimize risks ... Focus on our Associates / Belonging - Identifies, attracts, and retains top talent; builds a high ...

Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

Applying machine learning algorithms to maximize the relevance of search system and minimize risks ... Focus on our Associates / Belonging - Identifies, attracts, and retains top talent; builds a high ...

Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

Applying machine learning algorithms to maximize the relevance of search system and minimize risks ... Focus on our Associates / Belonging - Identifies, attracts, and retains top talent; builds a high ...

Staff, Data Scientist

Hayward, CA · On-site

$143K - $286K/yr

Applying machine learning algorithms to maximize the relevance of search system and minimize risks ... Focus on our Associates / Belonging - Identifies, attracts, and retains top talent; builds a high ...

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

Senior AI Engineer / Machine Learning Engineer / Python Software Engineer Location: San Jose, CA ... Free Lunches & Commuting Oscar Associates Limited (US) is acting as an Employment Agency in ...

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

Senior AI Engineer / Machine Learning Engineer / Python Software Engineer Location: San Jose, CA ... Free Lunches & Commuting Oscar Associates Limited (US) is acting as an Employment Agency in ...

(USA) Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

... associates. About the Team Join the Fraud and Risk Detection Data Science team at Walmart Global ... Team members leverage advanced machine learning, deep learning, and optimization techniques to ...

... associates to elevate technical and business acumen within a dynamic, results-oriented environment ... They apply advanced data strategies and machine learning techniques to ensure platform trust and ...

... associates to elevate technical and business acumen within a dynamic, results-oriented environment ... They apply advanced data strategies and machine learning techniques to ensure platform trust and ...

... associates to elevate technical and business acumen within a dynamic, results-oriented environment ... They apply advanced data strategies and machine learning techniques to ensure platform trust and ...

(USA) Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

... associates. About the Team Join the Fraud and Risk Detection Data Science team at Walmart Global ... Team members leverage advanced machine learning, deep learning, and optimization techniques to ...

Showing results 41-60

Associate Machine Learning information

See Dublin, CA salary details

$35.5K

$149.9K

$354.2K

How much do associate machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for associate machine learning in Dublin, CA is $149,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $227,500.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Dublin, CA? The most popular types of Machine Learning jobs in Dublin, CA are:
What job categories do people searching Associate Machine Learning jobs in Dublin, CA look for? The top searched job categories for Associate Machine Learning jobs in Dublin, CA are:
What cities near Dublin, CA are hiring for Associate Machine Learning jobs? Cities near Dublin, CA with the most Associate Machine Learning job openings:

Staff, Data Scientist

Walmart

San Jose, CA • On-site

$143K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,373 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...About Team: 
We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on our website or mobile app, our service goes to work. We mine billions of search queries and tens of millions of products to find the most relevant products for our customers. Team members take end-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy, and deploying these models to serve customers.
As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP or computer vision. The algorithms you develop will champion customers’ need to express their intent and our goal to understand their preferences, implicitly or explicitly across devices and modalities (voice, text, image etc.). You will develop and deploy machine learned models, to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision. Your work will be visible to millions of customers and you will have a direct impact on the goals of the company. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey.
*****Immigration Sponsorship support will NOT be available for this position
What you'll do:
  • Applying machine learning algorithms to maximize the relevance of search system and minimize risks.
  • Building, validating, testing, and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
  • Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development.
  • Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommendation system.

What you'll bring:
  • At least 5 years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale.
  • You have experience with data cleaning, preparation, featurization, and selection techniques.
  • You have experience working with large data sets to solve problems.
  • Experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop.
  • You have/had hands-on experience with Python, Java, or Scala and the ability to write reusable and efficient code to automate machine learning pipelines and data processes.
  • You have effective communication, interpersonal, and teamwork skills.
  • You have the ability to handle multiple concurrent projects while working independently and in teams.
  • You can work in a fast-paced and deadline driven environment.
  • Ph.D. or Master’s degree in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields.

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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
About Walmart Global Tech:
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts 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. Weare 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.
Living the Walmart Value:
Focus on our Associates / Belonging - Identifies, attracts, and retains top talent; builds a high-performing team; embraces a culture of belonging
Benefits and Perks:
Beyond competitive pay, you can receive incentive awards for your performance. Other great benefits include a 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, flexible working hours, and more.
We are reimagining the tech workplace 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.
Equal Opportunity Employer:
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 unique styles, experiences, identities, ideas and opinions while being inclusive of all people.
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.
Sunnyvale, California US-11349: The annual salary range for this position is $143,000.00 - $286,000.00
Bentonville, Arkansas US-10735: The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, PhD 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), 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... 1395 Crossman Ave, Sunnyvale, CA 94089-1114, 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.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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