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Junior Machine Learning Engineer Jobs in Irvine, CA

Crowe LLP

Machine Learning Engineer

Costa Mesa, CA

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

FieldAI

Senior Machine Learning Engineer

Irvine, CA

$180K - $215K/yr

... engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do Machine Learning ...

Veritone, Inc.

AI/Machine Learning Engineer

Irvine, CA · On-site

$175 - $200/hr

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

FieldAI

Senior Machine Learning Engineer

Irvine, CA

$180K - $215K/yr

... engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do Machine Learning ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Compunnel

Machine Learning Engineer

Aliso Viejo, CA · On-site

$109K - $144K/yr

plaintext Job Title: Lead I JOB SUMMARY Design and develop ML solutions, that will enable intelligent experiences and provide value. Collaboratively work with business, technology, and product teams ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$131K - $173K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are looking for ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Irvine, CA

Junior Machine Learning Engineer information

See Irvine, CA salary details

$36K

$77.1K

$117.5K

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

As of Sep 4, 2026, the average yearly pay for junior machine learning engineer in Irvine, CA is $77,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,100.00 and $85,900.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
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For Junior Machine Learning Engineer jobs in Irvine, CA, the most frequently searched job titles are:

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Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $77,069 per year, or $37.1 per hour.

Machine Learning Engineer II at Glidewell Dental Irvine, CA

Shell Lubricants Hub Hamburg

Irvine, CA • On-site

$117 - $146/hr

Other

Re-posted 10 hours ago

Job description

Machine Learning Engineer II job at Glidewell Dental. Irvine, CA.

Job Description

Essential Functions:

  • Designs, develops, and deploys machine learning models for real-world applications.
  • Builds scalable pipelines for data ingestion, pre-processing, training, and inference.
  • Owns end to end development of machine learning algorithms including data analysis, feature engineering, model development, training, validation, and performance evaluation.
  • Designs, implements, and optimizes retrieval-augmented generation (RAG) pipelines that combine large language models (LLMs) with vector search/retrieval systems.
  • Builds data ingestion and embedding pipelines for efficient indexing and retrieval.
  • Fine-tunes and adapts LLMs for domain-specific tasks such as instruction tuning, prompt engineering, low-rank adaptation (LoRA), etc.
  • Engages in both engineering and research, exploring latest ML algorithms, solution architectures, and cutting-edge approaches to improve retrieval and generation performance.
  • Works with stakeholders to translate business requirements into robust technical solutions that deliver measurable impact.
  • Works with engineering teams to continuously scale and advance machine learning across the organization.
  • Identifies new opportunities of applying ML technology to improve business workflows and processes.
  • Builds a deep understanding of the company’s products, services, data, and customers to deliver impactful solutions.
  • Performs other related duties and projects as business needs require at direction of management.

Education and Experience:

  • Master’s degree in Machine Learning, Deep Learning, or a computer science-related field. PhD preferred.
  • Minimum three (3) years of relevant work experience in the areas below, or any equivalent education and/or experience from which comparable knowledge, skills and abilities have been demonstrated/achieved:
  • Understands fundamental concepts, practices, and procedures of machine learning field.
  • Data discovery, data aggregation, and feature engineering with SQL query writing skills.
  • Training, evaluating, optimizing, deploying, and maintaining machine learning models on production systems.
  • Logging, tracking, A/B testing, evaluating and analyzing the performance of different machine learning algorithms and models in production.
  • Strong development skills in Python programming language and have experience in developing data-driven, scalable, and reliable applications with Amazon Web Services (AWS).
  • Applying machine learning algorithms to solve a wide range of optimization problems like customer sales prediction, recommendation engine, sentiment analysis, deep learning with image and natural language, customer segmentations/clustering, and object detection.
  • Utilization of popular open-source machine learning/deep learning libraries like LangChain, HuggingFace, Tensorflow, scikit-learn, pandas, pyTorch, and Keras.
  • Experience working with relational, non-relational, and high-scale data processing and storage frameworks like Structured Query Language (SQL), AWS RedShift, Aurora, S3, DynamoDB, MySQL, PostgreSQL.
  • Experience with AWS Serverless architecture and AWS native services like BedRock, EC2, Lambda, Step Functions, SageMaker, Rekognition, Comprehend, Lex/Polly, and Transcribe.

Pay Range: $117,000 - $146,000/YR

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