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Entry Level Machine Learning Engineer Jobs in Pleasanton, CA

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 ...

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 ...

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 ...

As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative research ...

Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...

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 ...

Proficiency in programming languages relevant to AI, Machine Learning and Application Development (e.g. Python, PyTorch / TensorFlow, LangChain, LangFlow, Kotlin or similar). * Confident in ...

New

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 ...

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 ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Pleasanton, CA salary details

$33.4K

$77.2K

$131.3K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level machine learning engineer in Pleasanton, CA is $77,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $87,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Pleasanton, CA? The most popular types of Machine Learning Engineer jobs in Pleasanton, CA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Pleasanton, CA? For Entry Level Machine Learning Engineer jobs in Pleasanton, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Pleasanton, CA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Pleasanton, CA are:
What cities near Pleasanton, CA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Pleasanton, CA with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Pleasanton, CA as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $77,193 per year, or $37.1 per hour.

Machine Learning Engineer

Adobe, Inc.

San Jose, CA • On-site

$151K - $265K/yr

Full-time

Re-posted 8 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

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 solutions that will impact billions of users worldwide!
  • Develop and program coordinated software algorithms to structure, analyze, and leverage data in both structured and unstructured environments.
  • Communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms.
  • Work on large scale distributed Information retrieval systems using the latest best of breed technologies not limited to traditional IR but also include vector and semantic search.
  • Convert algorithms and technical specifications into code using current programming languages and technologies.
  • Perform testing, debugging, and implement efficiencies for flawless execution.
  • Complete documentation and procedures for deployment and maintenance.
  • Work with large-scale computing frameworks, data analysis systems, and modeling environments.

Required Qualifications
We are seeking candidates who are exceptionally skilled and ready to take on world-class challenges:
  • 7+ years of experience in AI platform build and implementation, ensuring performance, scalability, and reliability.
  • Strong expertise in cloud infrastructure and distributed computing.
  • Outstanding programming skills in languages such as Python, Java, or C++.
  • Proven capability to effectively apply complex algorithms and technical specifications.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

Join us and help drive the next decade of growth at Adobe! Your innovative ideas and dedication to excellence will make a difference.
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 position is $151,800 -- $265,350 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 $183,300 - $265,350
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.

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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