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Machine Learning Engineer Intern Jobs in Santa Cruz, CA

Adobe

Machine Learning Engineer

San Jose, CA · On-site

The Challenge We are looking for a Staff Backend Engineer with 10+ years of experience in enterprise software development using Machine Learning and Agentic AI systems to help design and scale the ...

Adobe

Machine Learning Engineer 5

San Jose, CA · On-site

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 ...

Clera

Senior Machine Learning Engineer

Palo Alto, CA · Remote

$145K - $156K/yr

About the Role This is a Senior Machine Learning Engineer role embedded within a growing AI and Data Science team at a healthcare-focused data and analytics company. You'll take end-to-end ownership ...

TikTok

Machine Learning Engineer, Commerce Ads

San Jose, CA · On-site

$162K - $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 ...

Voltai

Machine Learning Engineer

Palo Alto, CA · On-site

Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics programs. * Proven track record of delivering AI/ML projects from concept to production. * Hands-on experience fine-tuning and ...

Voltai, Inc

Machine Learning Engineer

Palo Alto, CA · On-site

Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics programs. * Proven track record of delivering AI/ML projects from concept to production. * Hands-on experience fine-tuning and ...

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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 Sep 1, 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 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 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 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

Adobe

San Jose, CA • On-site

Full-time

Re-posted yesterday

Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

38th of 247 rated software companies

Job description

The Opportunity

This is a position where you will build and launch a new product within Adobe working in an exciting org that is incubating next-generation ideas. This role is an outstanding opportunity tooperateas a startup founding engineer while having the resources of an innovative, large technology company. Build the next generation agentic AI platform working with other engineers and designers to bring the new Adobe product to life.

The Challenge

We are looking for a Staff Backend Engineer with 10+ years of experience in enterprise software development using Machine Learning and Agentic AI systems to help design and scale the infrastructure behind intelligent, autonomous applications. You'll work at the intersection of backend engineering, applied ML, and AI agent orchestration. Your role includes building APIs, data pipelines, and runtime frameworks for intelligent workflows.


If you enjoy solving complex distributed systems challenges, experimenting with innovative ML/LLM techniques, and pushing the boundaries of how AI agents interact with humans and software, this role is for you.


Responsibilities

  • Architect, implement, and scale backend services that support AI applications powered by machine learning and autonomous agents.

  • Design APIs and microservices that integrate LLMs, vector databases, and knowledge retrieval systems.

  • Build infrastructure for AI agents (task planning, tool use, orchestration, state management).

  • Ensure backend systems are reliable, performant, and secure at scale.

  • Develop monitoring, logging, and observability for agent behaviors and ML pipelines.

  • Work closely with product and design teams to translate requirements into scalable backend solutions.

  • Stay ahead of with emerging research in LLMs, multi-agent systems, and autonomous AI.

What is needed to Succeed

  • BA/BS or MS degree in Computer Science, Engineering, or equivalent experience.

  • Strong backend engineering skills with Python

  • Proficiency in Agentic AI development

  • Proficiency in building APIs, distributed systems, and data pipelines.

  • Hands-on experience with LLMs, vector databases (Pinecone, Weaviate, FAISS, Milvus), and ML deployment frameworks.

  • Understanding of agentic AI concepts (tool calling, memory, planning, reasoning).

  • Familiarity with ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex.

  • Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes).

  • Solid knowledge of databases (SQL and NoSQL) and event-driven architectures.

Nice to Have

  • Familiarity with LangGraph, AutoGen, or other agentic frameworks.

  • Contributions to open-source ML or AI infrastructure projects.

  • Exposure to MLOps tooling (MLflow, Weights & Biases, Ray, Prefect, Airflow).

  • Background in security for AI systems (guardrails, prompt injection defense, data privacy).

  • Experience with reinforcement learning, multi-agent systems, or fine-tuning LLMs.


About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.


Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.


Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.


Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com.


AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.


At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $190,200 -- $345,650 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $238,700 - $345,650

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What Adobe employees say

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Workplace

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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