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Machine Learning Engineer Intern Jobs in Santa Cruz, CA

Aven

Machine Learning Engineer

Campbell, CA · On-site

We are looking for Machine Learning Engineers who have built product models from idea to delivery. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and ...

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$165K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

... more programming languages such as Python, Java * Strong understanding and working knowledge of distributed systems, isolation and micro services * Good understanding of machine learning, deep ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

$151K - $265K/yr

Key Responsibilities As a Machine Learning Engineer at Adobe, you will play a pivotal role in our ambitious journey to redefine digital experiences. This is your chance to work on innovative ...

Adobe

Machine Learning Engineer 5

San Jose, CA

Machine Learning Engineer - Brand Intelligence Predict The Opportunity Join us at Adobe as a Machine Learning Engineer (MLE 50) on the Adobe Brand Intelligence Predict team in San Jose, CA! Help us ...

TikTok

Machine Learning Engineer, Commerce Ads

San Jose, CA · On-site

$156K - $316K/yr

We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness ...

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Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Santa Cruz, CA

Machine Learning Engineer Intern information

See Santa Cruz, CA salary details

$29.4K

$49.2K

$101.6K

How much do machine learning engineer intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer intern in Santa Cruz, CA is $49,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $53,100.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Santa Cruz, CA? The most popular types of Machine Learning Engineer jobs in Santa Cruz, CA are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Santa Cruz, CA? For Machine Learning Engineer Intern jobs in Santa Cruz, CA, the most frequently searched job titles are:
What cities near Santa Cruz, CA are hiring for Machine Learning Engineer Intern jobs? Cities near Santa Cruz, CA with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Santa Cruz, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $49,170 per year, or $23.6 per hour.

Machine Learning Engineer

Aven

Campbell, CA • On-site

Full-time

Re-posted 7 days ago

Job description


We are looking for Machine Learning Engineers who have built product models from idea to delivery. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and building models. In this role, you will maintain models in production and build infrastructure to iteratively update them. You will monitor for distribution shifts in the data and adjust models accordingly. You will also be responsible for system architecture, participating in design reviews, and conducting code reviews to ensure best practices.
You can expect to work on
Anything and everything. At this early stage, you will find yourself:
  • Building targeting models for our Direct Mail Channel
  • Building risk models from both existing credit bureau data and Aven customers' performance data
  • Building pricing and product relevance models
  • Building models to automate back-office human processing of documents and other tasks
  • Weighing in on strategy. Every voice is important to help inform our decisions
  • Become an expert in our product space, such that you're able to find new opportunities from data and models

You should join us if
  • You have led large technically complex projects with a lot of moving parts
  • You have a lot of experience with a lot of disparate systems
  • You have worked on production-grade compilers, operating systems, or large distributed systems
  • You can jump into a new environment and hit the ground running without much hand-holding
  • You're fine with us not having answers yet. You want to be part of figuring out the answers
  • You thrive in highly collaborative environments and are down to riff with us on anything from company mission to software architecture to user research
  • You enjoy diving into the deep end and feel like that's where the greatest personal growth happens
  • You are fearless about learning the details and understanding every single minute detail of an underlying system or process

Our Tech Stack:
  • AWS
  • PostgreSQL
  • Typescript
  • Python
  • VueJS (web)
  • Swift (iOS)
  • Kotlin/Java (Android)

Apply