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Internship Junior Machine Learning Engineer Jobs in California

Machine Learning Engineer

San Jose, CA · On-site

$96K - $128K/yr

Mentor junior engineers and help grow the team's technical depth. What You Need to Succeed Required Qualifications * Master's or Ph.D. in Computer Science, Machine Learning, or a related technical ...

Machine Learning Engineer

San Jose, CA · On-site

$96K - $128K/yr

Mentor junior engineers and help grow the team's technical depth. What You Need to Succeed Required Qualifications * Master's or Ph.D. in Computer Science, Machine Learning, or a related technical ...

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

$160 - $190/hr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

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 ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of key technologies and ...

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

Showing results 41-60

Internship Junior Machine Learning Engineer information

What is the difference between Internship Junior Machine Learning Engineer vs Data Analyst Intern?

AspectInternship Junior Machine Learning EngineerData Analyst Intern
Required skillsBasic programming, understanding of ML algorithms, Python, data preprocessingData visualization, SQL, Excel, statistical analysis
Work environmentTech companies, AI startups, research labsBusiness, marketing, finance sectors
Common industry usageDeveloping ML models, data pipelinesInterpreting data, generating reports

Internship Junior Machine Learning Engineers focus on building and optimizing machine learning models, requiring programming and algorithm knowledge. Data Analyst Interns analyze data sets to generate insights, emphasizing visualization and statistical skills. Both roles are entry-level internships but serve different functions within data-driven projects.

What job categories do people searching Internship Junior Machine Learning Engineer jobs in California look for? The top searched job categories for Internship Junior Machine Learning Engineer jobs in California are:
What cities in California are hiring for Internship Junior Machine Learning Engineer jobs? Cities in California with the most Internship Junior Machine Learning Engineer job openings:
Infographic showing various Internship Junior Machine Learning Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Machine Learning Engineer

Adobe

San Jose, CA • On-site

$96K - $128K/yr

Full-time

Re-posted 10 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 243 rated software companies


Job description

We are looking for a Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building data pipelines, prototype creation, and operationalization.
The ideal candidate will have a strong background in both classical and deep learning, along with experience developing and deploying production-ready ML and GenAI solutions. If you enjoy shipping impactful, customer-facing features, experimenting with new technologies, and contributing to high-visibility projects with room for creativity and ownership, this role is for you. Our work is dynamic, collaborative, and data-driven.
What You'll Do

  • Bring a 01 product mindset, helping shape ideas into real, measurable impact.

  • Design, build, and optimize backend services that power ML and Generative AI features.

  • Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches.

  • Contribute to agentic systems and orchestration frameworks that enable intelligent, multi-step reasoning and task automation.

  • Collaborate with cross-functional teams to integrate ML solutions into production workflows.

  • Analyze and improve the efficiency, accuracy, and scalability of AI-enabled systems.

  • Stay up to date with advancements in ML, GenAI, and prompt optimization research.

  • Mentor junior engineers and help grow the team's technical depth.


What You Need to Succeed
Required Qualifications

  • Master's or Ph.D. in Computer Science, Machine Learning, or a related technical field.

  • 5+ years of experience in machine learning engineering, applied research, or production ML systems.

  • Strong Python software engineering skills, including system design, clean architecture, testing, CI/CD, version control, and code review best practices.

  • Experience taking ML-powered features from 01 through production and ongoing iteration.

  • Hands-on experience deploying and monitoring ML models in production environments.

  • Experience designing or contributing to agentic architectures and multi-agent orchestration systems.

  • Strong understanding of classical ML, deep learning, and modern Generative AI techniques.

  • Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment.

  • Solid foundation in data structures, algorithms, and distributed system design.

  • Comfortable leveraging AI coding agents to accelerate development workflows.

  • Excellent communication skills and demonstrated technical leadership experience.


Preferred Qualifications

  • Experience with Generative AI systems, prompt optimization frameworks, and LLM-as-a-judge / evaluation methodologies.

  • Deep understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines.

  • Experience with MLOps tooling, experiment tracking, model lifecycle management, and observability frameworks.

  • Track record of mentoring engineers and influencing technical direction on high-visibility projects.

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 or call +1 408-536-3015.

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 $125,600 -- $234,150 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 $161,700 - $234,150 In Washington, the pay range for this position is $142,500 - $206,275

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

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Adobe logo

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