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Machine Learning Jobs in Milpitas, CA (NOW HIRING)

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 ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with teams to architect robust systems and integrate AI-driven features into applications.

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...

Machine Learning Engineer, Drive

Sunnyvale, CA · On-site

$168 - $247/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Drive Machine Learning team builds the prediction and intelligence systems that power this business, including delivery and pickup time estimation, merchant prep-time prediction, order release ...

The Drive Machine Learning team builds the prediction and intelligence systems that power this business, including delivery and pickup time estimation, merchant prep-time prediction, order release ...

Machine Learning Engineers

San Jose, CA

$136K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to ...

Machine Learning Engineer

San Jose, CA · On-site

$188 - $271/hr

  • Medical

  • PTO

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

New

Machine Learning Engineer

San Jose, CA · On-site

$188 - $271/hr

  • Medical

  • PTO

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CAJob Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

Machine Learning Engineer (Search)

Cupertino, CA

$150K - $225K/yr

  • Medical

  • Dental

  • Retirement

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

Showing results 41-60

Machine Learning information

See Milpitas, CA salary details

$29.7K

$49.6K

$102.6K

How much do machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning in Milpitas, CA is $49,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,900.00 and $53,600.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Milpitas, CA?

The most popular types of Machine Learning jobs in Milpitas, CA are:

What job categories do people searching Machine Learning jobs in Milpitas, CA look for?

The top searched job categories for Machine Learning jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Machine Learning jobs?

Cities near Milpitas, CA with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in Milpitas, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,626 per year, or $23.9 per hour.

Machine Learning Engineer

Adobe

San Jose, CA

Full-time

Re-posted 14 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 244 rated software companies


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 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

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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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