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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 ...

TikTok

Applied Scientist - AIGC Development

San Jose, CA

$17.50 - $23.50/hr

Associate Program Manager, TikTok LIVE EcosystemSocial Media Intern (Lemon8) - 2025 Project Intern ... Machine Learning Engineer Intern (Applied Machine Learning-Algorithm) - 2025 Summer/Fall (MS ...

Astrix Inc

Associate AI Scientist

South San Francisco, CA · On-site

$30 - $38/hr

Job Title: Associate AI Scientist (Contract) Location: South San Francisco, CA (Onsite with ... Develop and evaluate machine learning models that link DNA sequence to biological function * Apply ...

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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 Jul 14, 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, and why are they important?

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:
Associate Machine Learning jobs near you

Machine Learning Inference Engineer

Oscar Technology

San Francisco, CA • On-site

$200K - $250K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 16 days ago

Job description


Title: Machine Learning Inference Engineer
Location: San Francisco, CA - Hybrid
Salary: $200K-$250K + Equity


A rapidly growing AI startup is hiring a Machine Learning Inference Engineer to help optimize and scale production machine learning systems. The company is building next-generation AI applications and is looking for an engineer who enjoys solving complex performance challenges across model serving and inference infrastructure. This is a startup environment where engineers take ownership over their work, collaborate closely with leadership, and have a direct impact on the performance and scalability of production AI systems.


This role is focused on productionizing machine learning models and optimizing inference performance at scale. You will build high-performance model-serving infrastructure, improve latency, throughput, and compute efficiency, and work across GPU optimization, distributed inference, and production deployment. This is a hands-on engineering role ideal for someone passionate about building scalable AI infrastructure and making machine learning systems faster, more efficient, and production-ready.


Experience:


* 2+ years of experience in Machine Learning Engineering or AI Infrastructure
* Strong Python and PyTorch experience building production ML systems
* Experience with inference frameworks such as Triton, TensorRT, vLLM, or similar
* Experience optimizing model latency, throughput, and infrastructure cost
* Experience with model optimization techniques such as pruning, distillation, or KV caching
* Understanding of GPU infrastructure and deploying ML models at scale
* Experience with diffusion models, multimodal AI, or large-scale vision systems is a plus


Benefits:


* Equity
* Paid Time Off
* Medical, dental, and vision coverage
* Opportunity to create lasting impact within a growing organization
* Hybrid working schedule


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

Apply