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Entry Level Machine Learning Engineer Jobs in Los Angeles, 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 ...

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 ...

Turion Space

Machine Learning Engineer

Irvine, CA

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

GOAT Group

Staff Machine Learning Engineer

Los Angeles, CA · On-site

$187K - $233K/yr

ROLE OVERVIEW Grailed is looking for a Staff Machine Learning Engineer to help us build the models and systems that connect buyers to the inventory they're looking for -- and surface things they didn ...

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 ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Los Angeles, CA

Entry Level Machine Learning Engineer information

See Los Angeles, CA salary details

$32.3K

$74.7K

$127.1K

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

As of Aug 10, 2026, the average yearly pay for entry level machine learning engineer in Los Angeles, CA is $74,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $84,600.00 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 Los Angeles, CA? The most popular types of Machine Learning Engineer jobs in Los Angeles, CA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Los Angeles, CA? For Entry Level Machine Learning Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Los Angeles, CA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Los Angeles, 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 Los Angeles, CA as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, 6% Temporary, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $74,738 per year, or $35.9 per hour.

Machine Learning Engineer

Layup Parts

Huntington Beach, CA • On-site

$120K - $185K/yr

Full-time

Posted 6 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 

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.