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Machine Learning Engineer Associate Jobs in San Diego, CA

Inficare Technologies

AI Architect

San Diego, CA · On-site

$67 - $88/hr

Azure Solutions Architect Expert or Azure AI Engineer Associate * AWS Certified Solutions Architect Professional or Machine Learning Specialty * Google Professional Cloud Architect or Professional ...

AppFolio

Sr. Machine Learning Engineer

San Diego, CA

$111K - $152K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning systems that ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning systems that ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

Engineering Group, Engineering Group > Machine Learning Researcher General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in San Diego, CA

Machine Learning Engineer Associate information

See San Diego, CA salary details

$44.1K

$87.7K

$140.1K

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

As of Sep 2, 2026, the average yearly pay for machine learning engineer associate in San Diego, CA is $87,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $100,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

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 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 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 the most commonly searched types of Machine Learning Engineer jobs in San Diego, CA?

The most popular types of Machine Learning Engineer jobs in San Diego, CA are:

What are popular job titles related to Machine Learning Engineer Associate jobs in San Diego, CA?

For Machine Learning Engineer Associate jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Associate jobs in San Diego, CA look for?

The top searched job categories for Machine Learning Engineer Associate jobs in San Diego, CA are:

What cities near San Diego, CA are hiring for Machine Learning Engineer Associate jobs?

Cities near San Diego, CA with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in San Diego, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $87,736 per year, or $42.2 per hour.

AI Architect

Inficare Technologies

San Diego, CA • On-site

$67 - $88/hr

Full-time

Posted 18 days ago

Job description

Job Title: AI Architect
Location: San Diego, CA (Onsite - Local Candidates Preferred)
Job Type: Full Time
Experience: 10+ years in software engineering, cloud, or enterprise architecture; 5+ years in AI/ML; 3+ years with Generative AI and LLMs
Job Overview
Key Responsibilities
  • Define and implement enterprise AI architecture frameworks, standards, and best practices
  • Design end-to-end GenAI solutions leveraging Claude, Gemini, OpenAI, and other foundation models
  • Architect RAG, agentic AI, multi-agent systems, vector databases, and knowledge management solutions
  • Architect AI solutions across Azure and AWS environments
  • Define AI governance, security, compliance, and risk management frameworks
  • Serve as a trusted advisor to executive leadership on AI strategy and emerging technologies
  • Mentor architects, engineers, and data science teams
Required Skills
  • Foundation Models: Anthropic Claude, Google Gemini, OpenAI, multi-model orchestration
  • GenAI Techniques: Prompt engineering, fine-tuning, RAG, AI agents, agentic workflows
  • Vector Databases: Pinecone, Weaviate, Milvus, Chroma, Azure AI Search
  • Frameworks: LangChain, LangGraph, LlamaIndex
  • Azure: Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, AKS, Azure Data Services, Azure Security
  • AWS: Amazon Bedrock, Amazon SageMaker, AWS Lambda, ECS/EKS, AWS Data and Analytics, AWS Security and Governance
  • Programming: Python, SQL, REST APIs, Microservices Architecture, CI/CD, DevOps
  • Ops: MLOps, LLMOps, model monitoring and evaluation
Preferred Skills
  • Experience in regulated industries: healthcare, financial services, defense, or technology
  • Enterprise AI governance and Responsible AI frameworks
  • Integration of AI solutions with ERP, CRM, and enterprise systems
  • Master's degree in Computer Science, AI, Data Science, or related field
Preferred Certifications
  • Microsoft Certified: Azure Solutions Architect Expert or Azure AI Engineer Associate
  • AWS Certified Solutions Architect Professional or Machine Learning Specialty
  • Google Professional Cloud Architect or Professional Machine Learning Engineer
Location & Work Model
Onsite - San Diego, CA. Local candidates strongly preferred.
Engagement Details
Full-Time permanent position with a leading technology organization.

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