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Machine Learning Engineer Associate Jobs in Irvine, CA

The Senior Engineer, AI Solutions collaborates with cross-functional teams to design, develop, and ... Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and ...

Senior Software Engineer, MLOps

Irvine, CA ยท On-site

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Software Engineer, MLOps

Irvine, CA ยท On-site +1

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Senior Software Engineer, MLOps

Irvine, CA ยท On-site +1

$131.50K - $173.40K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Those in artificial intelligence and machine learning at PwC will focus on developing and ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain ...

Azure AI Engineer Associate, Azure Security Engineer Associate, SC-100/200/300/400, or SC-900 ... Machine Learning, Azure Cognitive Services, Azure AI Studio), Azure Platform & Infrastructure ...

Cloud Digital Leader (Foundational), Generative AI Leader (Foundational), Cloud Engineer Associate, Cloud Developer Professional, Cloud Architect Professional, Machine Learning Engineer Professional ...

... and Oracle Machine Learning. Focused on relationships, you are building meaningful client ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Senior Manager, Applied Science

Irvine, CA ยท On-site

$180K - $220K/yr

Provide strategic and technical leadership to the Machine Learning Engineering team, driving innovation and ensuring alignment with company objectives. * Own the end-to-end development, deployment ...

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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Machine Learning Engineer Associate information

See Irvine, CA salary details

$44.5K

$88.7K

$141.7K

How much do machine learning engineer associate jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning engineer associate in Irvine, CA is $88,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $102,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
What are the most commonly searched types of Machine Learning Engineer jobs in Irvine, CA? The most popular types of Machine Learning Engineer jobs in Irvine, CA are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Irvine, CA? For Machine Learning Engineer Associate jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Irvine, CA look for? The top searched job categories for Machine Learning Engineer Associate jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Machine Learning Engineer Associate jobs? Cities near Irvine, CA with the most Machine Learning Engineer Associate job openings:
Infographic showing various Machine Learning Engineer Associate job openings in Irvine, CA as of May 2026, with employment types broken down into 1% As Needed, 61% Full Time, 36% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $88,701 per year, or $42.6 per hour.

Sr Engineer, AI Solutions

PDS Health

Irvine, CA โ€ข On-site

$130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Now is the time to join PDS Health. You will have opportunities to learn new skills from our team of experienced professionals. If you're ready to take your career to the next level and gain valuable experience, apply today!
The Senior Engineer, AI Solutions collaborates with cross-functional teams to design, develop, and deploy innovative AI solutions in areas such as computer vision and Large Language Models (LLMs). The role requires advanced technical expertise, a passion for innovation, and the ability to mentor junior engineers.
Responsibilities
  • Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and Natural Language Processing (NLP), and Generative AI (GenAI) use cases: document understanding, summarization, and chatbots.
  • Develop and optimize autonomous AI agents and related workflows, including integration with enterprise systems.
  • Guide data labeling strategies and human-in-the-loop feedback for supervised and reinforcement learning models.
  • Fine-tune and evaluate Large Language Models (LLMs), and implement GenAI patterns like prompt engineering, embeddings, vector stores, and Retrieval-Augmented Generation (RAG).
  • Build and optimize robust data pipelines for large datasets, including data cleaning, transformation, labeling, and feature engineering.
  • Design scalable APIs and real-time/batch inferencing services for AI capabilities use across teams and applications.
  • Deploy and manage AI models using containerization, orchestration and Machine Learning Operations (MLOps) best practices (Continuous Integration and Deployment (CI/CD) pipelines on AWS and/or GCP).
  • Collaborate with stakeholders to understand business needs, translate into AI solutions, and align with product goals and regulatory constraints.
  • Mentor junior engineers in AI/Machine Learning (ML) fundamentals, coding standards, and deployment best practices.
  • Contribute to research and innovation initiatives and evaluate new techniques, tools, and architectures in AI and ML.
  • Other duties and responsibilities as assigned.

Qualifications
  • Master's degree in Computer Science, Data Science or related discipline from an accredited college or university. In lieu of degree, 6+ years of experience in AI/Machine Learning, and system design.
  • 4+ years of experience in AI/Machine Learning engineering, working with system design and deployment of AI Solutions; practical experience in healthcare AI applications.
  • 1+ years of advance technical expertise.
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain.
  • Experience with GenAI and Large Language Models (LLMs), including fine-tuning and prompt engineering.
  • Experience with retrieval-augmented generation (RAG), and vector databases.
  • Experience with SQL and/or NoSQL databases for structured and unstructured data.
  • Experience with cloud platforms (AWS and/or GCP).
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Experience working in cross-functional teams.

Preferred
  • 8+ years of experience in AI/Machine Learning (ML) with large-scale system design.
  • Strong understanding of AI system design, scalability, and performance optimization.
  • Experience with medical image analysis.
  • Experience with React or other modern JavaScript frameworks.
  • Experience with MLOps, CI/CD, and AI model optimization.
  • Familiarity with HIPAA and healthcare compliance standards.
  • Experience with clinical studies and statistical analysis.

Knowledge/Skills/Abilities
  • Demonstrated interpersonal, verbal and written communication skills.
  • Ability to collaborate with team members at all levels of the organization.
  • Demonstrated ability to mentor and lead AI projects.
  • Ability to adhere to industry best practices and regulatory requirements, particularly regarding data privacy and security.
  • Familiarity with CI/CD pipelines and DevOps practices.

Benefits
  • Medical, dental, and vision insurance
  • Paid time off
  • Tuition Reimbursement
  • 401K
  • Paid time to volunteer in your local community

Compensation Information
$130,000.00-$168,000.00 / Annually
PDS Health is an Equal Opportunity Employer. We celebrate diversity and are united in our mission to create healthier and happier team members.