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Entry Level Machine Learning Engineer Jobs in Orange, CA

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Machine Learning Engineer

Costa Mesa, CA · On-site

$112K - $154K/yr

You'll collaborate with other engineers and researchers to develop, evaluate, and help deploy vision models for tasks like semantic/instance segmentation and object/damage detection across 2D and 3D ...

Showing results 21-40

Entry Level Machine Learning Engineer information

See Orange, CA salary details

$32K

$74.1K

$126.1K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level machine learning engineer in Orange, CA is $74,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $83,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Orange, CA?

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

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Orange, CA?

For Entry Level Machine Learning Engineer jobs in Orange, CA, the most frequently searched job titles are:

What cities near Orange, CA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Orange, CA with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Orange, CA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Nights. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $74,097 per year, or $35.6 per hour.

Machine Learning Engineer II at Glidewell Dental Irvine, CA

Shell Lubricants Hub Hamburg

Irvine, CA • On-site

$117 - $146/hr

Other

Posted 10 days 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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