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Machine Learning Engineer New Grad Jobs in Mountain View, CA

Machine Learning Engineer

San Jose, CA · On-site

$162 - $234/hr

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... We realize that new ideas can come from everywhere in the organization, and we know the next big ...

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... We realize that new ideas can come from everywhere in the organization, and we know the next big ...

Engineer, New Grad

San Francisco, CA · On-site

$150 - $220/hr

You would work across machine learning, geometry, graphics, and AI, and the team is hiring for raw ... Compensation at the top of the new grad market, plus meaningful equity. * Relocation support is ...

New

We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... We realize that new ideas can come from everywhere in the organization, and we know the next big ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... new methods to ship features on iOS and VisionOS platforms. In this role, you will work closely ...

Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the ...

New

Job#: 3043683 Hey, Pat from Everforth Apex Systems here, with a brand new spot. Working to find an ... Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton ...

Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the ...

New

NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...

We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our ... Enjoy following SOTA research into new models and agent architectures.

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... You will perform applied research development to adapt state-of-the-art methods or implement new ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$184K - $324K/yr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...

Showing results 41-60

Machine Learning Engineer New Grad information

See Mountain View, CA salary details

$37.2K

$151.9K

$228.3K

How much do machine learning engineer new grad jobs pay per year?

As of Sep 7, 2026, the average yearly pay for machine learning engineer new grad in Mountain View, CA is $151,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $182,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Mountain View, CA?

For Machine Learning Engineer New Grad jobs in Mountain View, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in Mountain View, CA look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Machine Learning Engineer New Grad jobs?

Cities near Mountain View, CA with the most Machine Learning Engineer New Grad job openings:

Infographic showing various Machine Learning Engineer New Grad job openings in Mountain View, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $151,906 per year, or $73 per hour.

Machine Learning Engineer

Adobe

San Jose, CA • On-site

$162 - $234/hr

Other

Re-posted 6 days ago


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

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone-from emerging artists to global brands- everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.

The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part of Adobe’s Cloud offering. Adobe Cloud enables customers to create and generate digital content, and Digital experiences. The Search, Discovery, and Content AI Team drives customer success for Adobe Express, Creative Cloud, and Document Cloud. Creative professionals and novice users need the quick discovery of digital assets from brushes to colors, images, videos, and beyond. They also need AI-powered assistance to discover the ingredients needed to complete their creative journey at scale. We are building a new search, recommendations, and content understanding platform that powers suits of Adobe product lines. Our platform caters to millions of users and billions of entities. Become part of this growing team at Adobe and have an excellent impact by providing AI-powered search, recommendations, and gen AI-based assistance across the creative suites of products at Adobe. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in a great company.

What You’ll Do

Build novel machine learning models using deep learning, reinforcement learning, content understanding, language understanding, and more by developing pioneering machine learning algorithms for Search&Discovery team. Apply machine learning/reinforcement learning to improve content understanding, computer vision, deep learning, language understanding and content ranking & recommendations. Build machine learning offerings to enable lifecycle of billions of images, documents and other assets in Adobe Cloud. Build machine learning services to host AI/ML models using technologies such as REST web services, micro- services, machine learning frameworks, Pytorch, Tensorflow, and LLMs

What You Need to Succeed

MS/PhD (preferred) in Computer Science, Machine Learning or equivalent field. Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Proficient in one or more programming languages such as Python, Java and C. Familiar with one or more machine learning or statistical modeling tools such as PyTorch, SGLang, Verl and scikit learn. Strong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a great teammate.

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

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

The U.S. pay range for this position is $125,600 -- $234,150 annually. Pay within this range varies by work location and 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. 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.

Additional Cultural and Accessibility Information

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. There's more than meets the eye when it comes to Adobe. Take the quiz and see how well you know us! 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 applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com 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.

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What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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