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Machine Learning Software Engineer Intern Jobs in Fullerton, CA

The Sr Engineer, AI & ML will also closely work with our software, hardware and systems teams to ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Sr Engineer, AI/Machine Learning

Irvine, CA ยท On-site

$140K - $170K/yr

The Sr Engineer, AI & ML will also closely work with our software, hardware and systems teams to ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

3D Machine Learning Engineer

Irvine, CA ยท On-site

$150K - $200K/yr

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Collaborate with software and systems engineers to integrate models into production environments ...

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Collaborate with software and systems engineers to integrate models into production environments ...

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Collaborate with software and systems engineers to integrate models into production environments ...

Sr Software Engineer

Glendale, CA ยท On-site

$130K - $171K/yr

... Software Engineer to join their Content Platform Engineering team. This role focuses on building ... and machine learning workflows, contributing to the media supply chain for iconic brands like ...

Showing results 41-60

Machine Learning Software Engineer Intern information

See Fullerton, CA salary details

$14

$26

$40

How much do machine learning software engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for machine learning software engineer intern in Fullerton, CA is $26.52, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $30.10 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.
What cities near Fullerton, CA are hiring for Machine Learning Software Engineer Intern jobs? Cities near Fullerton, CA with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Engineer - Llms Software

Front Door Defense

Torrance, CA โ€ข On-site

$160 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Machine Learning Engineer - LLMs Develop and deploy an LLM-powered assistant for automated DFM analysis of manufacturing data

Location: Torrance, California

Compensation: $160,000 - 250,000 USD / year

About The Role

Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.

We're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.

Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.

The Role

Copilot is our system for automating Design for Manufacturing (DFM) analysis and generating manufacturing processes. We work directly with some of the best operators in the world to identify high-impact opportunities to automate and augment with software.

Our team owns problems end-to-end: we design the software, define the manufacturing processes, and ensure they can be executed reliably in our factories. The work spans computational geometry, CAD/CAM integrations, high-performance systems, and full-stack web tooling. We execute whatever is required to deliver a working solution and best serve our users.

The DFM team within copilot is building the manufacturing data intelligence layer that serves as the tip of the spear for our automation stack. This platform ingests, interprets, and reasons over the full spectrum of manufacturing data (mechanical drawings, quality documentation, CAD data) and transforms it into structured, actionable information for the factory.

As a Senior Machine Learning Engineer, you will own the ML lifecycle for the language models that understand and reason about the content in manufacturing data packages.

What Youโ€™ll Do
  • Research, develop, and deploy fine-tuned language models for document classification, key information extraction, table parsing, and multi-page/document reasoning
  • Work alongside the core engineering team to build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies
  • Develop evaluation frameworks that extend beyond accuracy and CER, precisely quantifying system behavior and user impact
  • Collaborate with the other members of the machine learning team to set the technical and product roadmaps for the AI platform
  • Burn down the long tail, as every percentage point of accuracy maps to man-years of time savings at our scale
What Weโ€™re Looking For
  • 5-8 years of professional AI/ML experience, with at least 2 years working directly with large language models (fine-tuning, RLHF/DPO, or pre-training), with special consideration for work with layoutโ€‘aware models
  • Strong Python and PyTorch fluency: Youโ€™ve written custom training loops, loss functions, and data loaders from scratch when needed
  • Production deployment ownership: Youโ€™ve shipped models to production and have been responsible for endpoint and model health
  • MS or PhD in Computer Science, Electrical Engineering, or related field preferred; equivalent industry experience valued equally
Bonus Points
  • You have a passion for manufacturing and believe that the industry needs better software
  • Previously worked in aerospace, defense, or manufacturing, and have experience working with manufacturing data
  • Published research, achieved SOA results on relevant benchmarks, or contribute to openโ€‘source frameworks
  • Prior experience working in a highโ€‘ownership startup environment
Compensation

For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience).

This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Benefits for Fullโ€‘time Employees
  • Medical, dental, vision, and life insurance plans for employees
  • 401k
  • Relocation support may be provided for certain situations, based on business need.
  • Flexible vacation policy
  • Equity
ITAR Requirements

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Hadrian Is An Equal Opportunity Employer

It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

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