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

Walmart

Staff, Machine Learning Engineer

Sunnyvale, CA · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Dublin, CA

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 24, 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 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 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 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 most commonly searched types of Machine Learning jobs in Dublin, CA?

The most popular types of 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:

Associate Machine Learning jobs near you

Machine Learning Inference Engineer

Oscar Technology

San Francisco, CA • On-site

$401K/yr

Other

Medical, Retirement

Re-posted 27 days ago

Job description


Title: ML Inference Engineer


Location: San Francisco, CA


Salary: $250k base + equity


An AI Unicorn startup is hiring a Senior Machine Learning Inference Engineer for a full-time role.


You will be responsible for improving efficiency for AI-native infrastructure powered by generative and multimodal models. The ideal candidate has over 3 years of professional experience and a strong understanding of GPU infrastructure, Python, and PyTorch. This is a highly autonomous role with significant ownership across inference systems and model performance in production.


This role is hybrid in San Francisco Bay Area and offers full benefits and equity.


Experience:



  • Building AI applications at scale from the ground up

  • Strong understanding of GPU infrastructure including Triton, TensorRT, or vLLM frameworks
    Hands-on experience with Python and PyTorch

  • Building model-serving Microservices

  • Diffusion and Multimodal model experience is a plus


Benefits:



  • Competitive base salary

  • Equity

  • $401k matching

  • Medical coverage


Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

Apply