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Machine Learning Software Engineer Intern Jobs in Fullerton, CA

Liquid XR

Software Engineer

Los Angeles, CA · On-site +1

The Role We are seeking a Software Engineer to interface with embedded systems, machine learning ... models, and 3D game engines. This role focuses on building reliable, reusable systems that build ...

Liquid XR

Software Engineer

Los Angeles, CA · On-site

$120 - $180/hr

The Role We are seeking a Software Engineer to interface with embedded systems, machine learning ... models, and 3D game engines. This role focuses on building reliable, reusable systems that build ...

Steg.AI

VP of Engineering

Irvine, CA · On-site

$180 - $280/hr

We do it by creating software that uses machine learning to watermark digital media. Our watermarks ... engineer* A minimum Ph.D. level skillset in computer vision and machine learning* A minimum ...

Capgroup

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems. Required Qualifications * Bachelor's or Master ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems. Required Qualifications * Bachelor's or Master ...

Yum Brands

AI Backend Engineer II

Irvine, CA

As an AI Backend Engineer II, you will build the production software systems, services, and infrastructure that power machine learning solutions at scale. You will focus on deploying, integrating ...

Crowe LLP

Machine Learning Intern

Los Angeles, CA

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage ... Software Development Writing high quality Python (readable, reusable, modular, and well-abstracted ...

Crowe LLP

Machine Learning Intern

Costa Mesa, CA

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage ... Software Development Writing high quality Python (readable, reusable, modular, and well-abstracted ...

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems. Responsibilities * Support the deployment ...

KFC Corporation

Sr Machine Learning Engineer

Irvine, CA · On-site

$130 - $162/hr

The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for building reliable, scalable machine learning systems. Responsibilities * Support the deployment ...

New

Socket.dev

Machine Learning Engineer

Los Angeles, CA · On-site

$180 - $250/hr

Backed by USC and Techstars, we're creating the software, data, and intelligence systems that help ... Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Fullerton, CA

Machine Learning Software Engineer Intern information

See Fullerton, CA salary details

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

As of Sep 4, 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 Software Engineer Intern jobs near you

Senior Machine Learning Engineer, Match Team

Enigma Technologies, Inc.

Los Angeles, CA • On-site

$112K - $154K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Enigma Technologies, Inc. is building a reliable source of data on businesses to enhance financial services. They are looking for a Senior Machine Learning Engineer to join their Match Team, focusing on improving customer-facing data products through advanced machine learning and engineering systems.
Responsibilities:
• Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems
• Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS
• Evaluate and evolve our search technology stack, driving technical design decisions across indexing strategies, retrieval architecture, and system performance tradeoffs
• Lead end-to-end work from research design through experimentation, productionization, and customer-facing delivery
• Design evaluation frameworks for measuring relevance, precision/recall, ranking quality, and user engagement signals
• Improve query understanding via techniques like embedding models, vector search, hybrid retrieval, and query rewriting
• Detect and investigate anomalies in search performance, ranking behavior, and data freshness, tracing issues to root cause
• Partner closely with Product, Engineering, and client stakeholders to improve search experience and discoverability
• Mentor teammates and help raise the bar for experimentation rigor, system design, and operational excellence
Qualifications:
Required:
• Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems
• Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)
• Demonstrated applied, production-level expertise in two or more of the following technical domains: information retrieval, ranking systems, NLP/embedding models, or distributed systems.
• Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms
• Brings strong judgment in ambiguous environments where relevance signals and ground truth are noisy or implicit
• Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences
• Thrives in highly collaborative environments with strong ownership and fast iteration cycles
• Has an advanced degree in a quantitative discipline or equivalent deep industry experience
Preferred:
• Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)
• Have built customer-facing search or recommendation systems or APIs
• Have worked on query understanding, embeddings, LLM-powered retrieval, or hybrid search systems
• Have mentored senior engineers or data scientists and raised the technical bar across disciplines
Company:
Enigma is the most reliable, trusted source of data on businesses in the United States. Founded in 2011, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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