2

Entry Level Machine Learning Engineer Jobs in Mountain View, CA

... 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 ...

... 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 ...

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

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 ...

About the Role Handshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative ...

We invite you to help us build that future. (See how people use Elicit today on Twitter; explore our vision in the roadmap.) About the role As a Machine Learning Engineer at Elicit, you'll build ...

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 ...

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 ...

next page

Showing results 1-20

Entry Level Machine Learning Engineer information

See Mountain View, CA salary details

$35.4K

$81.8K

$139.2K

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

As of Jul 17, 2026, the average yearly pay for entry level machine learning engineer in Mountain View, CA is $81,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $92,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

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 job?

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 Mountain View, CA? The most popular types of Machine Learning Engineer jobs in Mountain View, CA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Mountain View, CA? For Entry Level Machine Learning Engineer jobs in Mountain View, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Mountain View, CA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Mountain View, CA are:
What cities near Mountain View, CA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Mountain View, CA with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Mountain View, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $81,825 per year, or $39.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Adobe, Inc.

San Jose, CA • On-site

Full-time

Posted 14 days ago


Job description

Adobe Cloud is brimming with billions of pieces of rich content and ever growing on daily basis. The kind of content ranges from images, photos, vectors, brushes, videos, composites, text documents, 3D, and anything we could think of. Information retrieval is a critical part of this offering. Creative professionals and novice users alike need quick access to their digital assets, libraries, the variety of creative content, and documents they work with every day, from brushes to colors, images, videos and beyond.
We have built a Search, Content & Discovery Platform that powers multiple Adobe product lines such as Adobe's Creative Cloud product, Experience Cloud, Document Cloud, Lightroom and creative marketplace by enabling the world's best creative tools, leading cloud services for managing creative assets, and the leading marketplace such as Adobe Stock. Search platform deals with billions of assets stored in cloud for variety of use cases ranging from privately accessible assets as in Lightroom, Creative cloud and others, shared assets via collaboration in creative cloud and experience cloud and public discoverable assets as in Adobe Stock Marketplace, Adobe.com , Adobe Learn & Tutorials content.
What You'll Do
  • Develop and implement scalable, efficient, and modern algorithms that can work with large-scale data in production systems
  • Work on large scale streaming and data systems to build world class search, recommendation and Gen AI systems
  • Work closely with data scientists, AI models to take them to production, scale and make them efficient and reliable
  • Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed
  • BS/Advanced degree in quantitative fields: Computer Science, Data Science, AI/ML Engineering, or a related field
  • Strong analytical and quantitative problem-solving ability.
  • Proficient in one or 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 learning, or data analytics concepts.
  • Excellent communication, relationship skills and a team player

Become part of this growing team at Adobe and have a phenomenal impact by contributing to search, browse, machine learning and recommendation across the creative suites of products at Adobe. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe! We're looking for top notch technical contributor to deliver Search as the core tenet in Adobe Cloud. The work entails building large scale search indexing, Search algorithms, recommendation algorithms, relevance & ranking, visual search, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, search UX, and overall Adobe Cloud ecosystem. This is an opportunity to make a huge impact in a fast-paced environment at a great company. Join us!
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 $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.

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