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Entry Level Machine Learning Engineer Jobs in Orange, CA

Fox

Senior ML Engineer

Los Angeles, CA

$160K - $180K/yr

ABOUT THE ROLE We are seeking a Senior Machine Learning Engineer to join our growing team focused on the development and deployment of cutting-edge Large Language Models (LLMs) and Generative AI ...

Fox

Senior ML Engineer

Los Angeles, CA

$160K - $180K/yr

ABOUT THE ROLE We are seeking a Senior Machine Learning Engineer to join our growing team focused on the development and deployment of cutting-edge Large Language Models (LLMs) and Generative AI ...

FOX News Network, LLC

Senior ML Engineer

Los Angeles, CA · On-site

$160K - $180K/yr

ABOUT THE ROLE We are seeking a Senior Machine Learning Engineer to join our growing team focused on the development and deployment of cutting-edge Large Language Models (LLMs) and Generative AI ...

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · On-site

$115K - $151K/yr

Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions. * Stay up-to-date with the latest industry trends in ...

Reply

AI/ML Engineer (AWS)

Los Angeles, CA · On-site

$120K - $155K/yr

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

Neshent Tech

Data Engineer

Rosemead, CA

$116K - $140K/yr

Optimize data workflows to support analytics, reporting, and machine learning use cases. * Support ... Knowledge of SQL, Python, or other data engineering technologies.

New

Pwc

AI & GenAI Data Scientist-Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Apex Systems

Staff Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

Collaborate with Data Scientists, Machine Learning Engineers, and Software Engineers to ensure data quality and schema clarity. * Diagnose and resolve issues in data pipelines, optimizing for ...

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All JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Orange, CA

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 Jun 12, 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 in the Entry Level Machine Learning Engineer position, and why are they important?

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 job?

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:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Orange, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $74,097 per year, or $35.6 per hour.
Machine Learning (ML) Ops Engineer - IS Clinical Research - Full Time 8 Hour Days (Exempt) (Non-U...

Machine Learning (ML) Ops Engineer - IS Clinical Research - Full Time 8 Hour Days (Exempt) (Non-U...

University of Southern California

Los Angeles, CA • On-site

$145K - $240K/yr

Full-time

Posted 4 days ago

University Of Southern California rating

8.3

Company rating: 8.3 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

96th of 536 rated colleges and universities

Job description

Under the direction of Information Services Leadership, the incumbent will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance of machine learning models. The MLOps Engineer will play an integral role in implementing artificial intelligence solutions across Keck Medicine of USC. The incumbent will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve patient care, support operational excellence, and advance clinical research. The incumbent will ensure seamless integration, automation, and scaling of AI solutions within the existing infrastructure by leveraging DevOps expertise. They will maintain and continuously improve MLOps pipelines for monitoring, versioning, and deploying models in production environments. The incumbent will be responsible for the end-to-end lifecycle management of artificial intelligence solutions and comes with DevOps experience, ensuring seamless integration, deployment, and automation of systems. The MLOps Engineer will implement best practices for testing, debugging, and performance monitoring of AI systems to ensure reliability and scalability.
Essential Duties:
  • Design, build and maintain production-grade machine learning models, with real-time inference, scalability, and reliability.
  • Develop end-to-end scalable ML infrastructure using cloud platforms, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
  • Develop AI pipelines for various data processing needs, including data ingestion, pre-processing, and search and retrieval, ensuring solutions meet all technical and business requirements.
  • Monitor model performance for data drift and concept drift detection, automate retraining processes where necessary to maintain model accuracy and relevance.
  • Collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
  • Implement and optimize CI/CD pipelines for machine learning models, automating testing and deployment processes.
  • Configure and manage monitoring and logging solutions to track model performance, system health, and anomalies, enabling timely intervention and proactive maintenance.
  • Implement version control systems for machine learning models, parameters, results and associated code to track changes and facilitate collaboration.
  • Ensure all machine learning systems meet security and compliance standards, including data protection and privacy regulations.
  • Lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
  • Maintain clear and comprehensive documentation of MLOps processes and configuration.
  • Strong communication and collaboration skills, to collaborate cross-functionally and align on deployment strategies and technical requirements
  • Other duties as assigned.

Required Qualifications:
  • Req Bachelor's Degree Degree in computer science, engineering or closely related field
  • Req Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP). Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). CI/CD tools (e.g., Github Actions). Programming languages and frameworks (e.g., Python, R, SQL). MLOps engineering principles, agile methodologies, and DevOps lifecycle management. Technical writing and documentation for AI/ML models and processes. Healthcare data and machine learning use cases.
  • Req Ability to solve complex problems through troubleshooting
  • Req Deep understanding of coding, architecture, and deployment processes
  • Req Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Req Excellent organizational skills and attention to detail
  • Req Self-starter with the ability to solution when requirements are vague or ambiguous

Preferred Qualifications:
  • Pref Master's degree Degree in computer science, engineering or closely related field

Required Licenses/Certifications:
  • Req Fire Life Safety Training (LA City) If no card upon hire, one must be obtained within 30 days of hire and maintained by renewal before expiration date. (Required within LA City only)

The annual base salary range for this position is $145,600.00 - $240,240.00. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.
  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser:
https://wd5.myworkday.com/usc/d/inst/1$9925/9925$126972.htmld

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About University of Southern California

Sourced by ZipRecruiter

The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880

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