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Entry Level Data Scientist Machine Learning Jobs in Irvine, CA

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given ...

Cisco

Applied AI Scientist

Irvine, CA · On-site

... for machine-generated data, with a primary focus on graph data and additional support for logs ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Compunnel

Machine Learning Engineer

Aliso Viejo, CA · On-site

$109K - $144K/yr

... data scientists to deploy the models. 8. Work with product teams in planning and execution of new product releases. 9. Set OKRs and success steps for self/ team and provide feedback of goals to team ...

Veritone, Inc.

AI/Machine Learning Engineer

Irvine, CA · On-site

$175 - $200/hr

Team: You partner with product, design, data, and infrastructure teams to integrate AI/ML ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

CYNET SYSTEMS

ML Engineer

Aliso Viejo, CA · On-site

$47 - $52/hr

Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field. * 1+ years of hands-on experience in machine learning, data science, search relevance, or ranking ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$131K - $173K/yr

... Machine Learning Engineer at Capital Group" We are looking for someone who can take a vague ... and scientific rigor. A track record of extracting real signal from messy, ambiguous data. You ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

Team * You partner with product, design, data, and infrastructure teams to integrate AI/ML ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Veritone

AI/Machine Learning Engineer

Irvine, CA

Team * You partner with product, design, data, and infrastructure teams to integrate AI/ML ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... Computer Science Data Engineering Information Systems or a related technical field Hands-on ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... Computer Science Data Engineering Information Systems or a related technical field Hands-on ...

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All JobsData Scientist Machine Learning JobsEntry Level Data Scientist Machine Learning JobsEntry Level Data Scientist Machine Learning Jobs in Irvine, CA

Entry Level Data Scientist Machine Learning information

See Irvine, CA salary details

$40.3K

$131.7K

$210.9K

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

As of Aug 22, 2026, the average yearly pay for entry level data scientist machine learning in Irvine, CA is $131,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $146,000.00 per year, depending on experience, location, and employer.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

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

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Irvine, CA?

The most popular types of Data Scientist Machine Learning jobs in Irvine, CA are:

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Irvine, CA?

For Entry Level Data Scientist Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:

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The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Irvine, CA are:

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Cities near Irvine, CA with the most Entry Level Data Scientist Machine Learning job openings:

Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Irvine, CA as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $131,746 per year, or $63.3 per hour.

Machine Learning Engineer

Layup Parts

Huntington Beach, CA • On-site

$120K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

At Layup Parts, we're developing the technology that will build the future.
We're a manufacturing technology company replacing months of lead time with days, using proprietary software, automation, and advanced manufacturing systems built for speed. Our customers are inventing what's next, in aerospace, defense, robotics, and beyond. To keep up with them, manufacturing has to change. That's what we're building.
We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given design, and extracting structured data out of existing documentation. We're looking for someone who has trained custom models on large, parameter-rich datasets, ideally with a geometric or spatial component, and who is energized by problems in that space specifically.
What You'll Do
  • Train and iterate on custom ML models using Layup's internal manufacturing and design data
  • Build models that estimate cost and predict design complexity or manufacturing difficulty from part geometry
  • Develop models that generate or assist in generating new designs based on historical design data
  • Build pipelines to extract structured data (specs, dimensions, material callouts, etc.) from existing engineering documents and drawings
  • Evaluate and select modeling approaches suited to geometric, spatial, and other structured data, rather than text-based problems
  • Work closely with engineering and manufacturing teams to source, clean, and label internal datasets
  • Own model performance end-to-end, from data pipeline through training, evaluation, and deployment into internal tools
  • Continuously identify new opportunities where custom models could improve design, estimation, or manufacturing workflows

What We're Looking For
  • Experience training custom models beyond basic labeling or fine-tuning workflows
  • Experience with advanced object detection at minimum; data classification experience is a strong plus
  • Experience with geometry-based modeling is highly preferred
  • Experience working with large, parameter-rich datasets
  • Strongest fit is someone whose background is in structured, spatial, or geometric data problems rather than natural language or LLM-centric work

Bonus Points
  • Experience training geometry-specific models
  • CAD experience
  • Manufacturing experience

$120,000 - $185,000 a year
Final compensation is based on your experience, skills, and what you bring to the table.
  • Full Benefits Package: Medical, dental, and vision coverage, short- and long-term disability insurance, company-paid life insurance
  • Equity Option Grants
  • 401k plan
  • Paid Time Off: Unlimited PTO + 9 Federal Holidays

Equal Opportunity
Layup is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance.
ITAR Requirements
To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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