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Machine Learning Engineer Python Jobs in San Jose, CA

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Proficient in programming languages such as Python, R, or similar * Strong foundation in probability, statistics, and mathematical modeling * Knowledge of common machine learning algorithms and ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

Apple

Machine Learning Engineer

Cupertino, CA

$212K - $318K/yr

Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems. Experience building large-scale machine learning ...

Advantest

Machine Learning Engineer

San Jose, CA · On-site

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of ... Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). * Familiarity ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Use programming languages like Golang, Python, Scala, or Java Basic Qualifications: * Bachelor ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$147K - $272K/yr

Preferred Qualifications MS/PhD in computer vision, electrical, optical or computer engineering or ... Python. Experience with one of the following: machine learning/deep learning systems, computer ...

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

... engineers and machine learning researchers building a new human identity platform • Take ... Go, Python, Rust, Java, C++, Ruby, etc...) • Experience working with high volumes of data ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA

$147K - $220K/yr

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... Java, C++, Python Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks. Excellent ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

$125K - $234K/yr

Proficient in one or more programming languages such as Python, Scala, Java and C * Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn

Adobe

Machine Learning Engineer 3

San Jose, CA · On-site

Adobe is looking for a Machine Learning Engineer to enhance the experience of its Customer ... Python, Scala, Java, or SQL. • Proficiency in ML frameworks such as scikit-learn, SparkML ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

$125K - $234K/yr

Proficient in one or more programming languages such as Python, Scala, Java and C * Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

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How much do machine learning engineer python jobs pay per year?

As of Jun 6, 2026, the average yearly pay for machine learning engineer python in San Jose, CA is $164,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,500.00 and $192,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What are popular job titles related to Machine Learning Engineer Python jobs in San Jose, CA? For Machine Learning Engineer Python jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in San Jose, CA look for? The top searched job categories for Machine Learning Engineer Python jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Machine Learning Engineer Python jobs? Cities near San Jose, CA with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Machine Learning Engineer

Machine Learning Engineer

Adobe

San Jose, CA • On-site

Full-time

Posted 3 days ago

Job description

Machine Learning EngineerThe Opportunity
Join Adobe and be at the forefront of driving digital transformation. As a Machine Learning Engineer, you will play a key role in developing machine learning models and algorithms. Our team is dedicated to solving complex business challenges through innovative machine learning solutions, empowering companies to understand their operations better and make data-driven decisions to achieve key business objectives.
We work on advanced algorithms for attribution, measurement, forecasting, and planning that enable organizations to optimize their strategies and drive growth. Our solutions are designed to address real-world challenges across diverse industries, helping businesses improve performance metrics and increase efficiency.
You will work in a multi-functional capacity, collaborating closely with product, engineering, and business teams to operationalize advanced machine learning techniques. By joining us, you will directly contribute to the development of impactful solutions that drive measurable value for our business clients.
Our work increasingly intersects with the broader AI landscape, including generative and agentic AI, as we continue to expand what is possible for our clients.
If you are passionate about innovation, solving meaningful problems, and pushing the boundaries of technology, this is the place for you.
What You'll Do
  • Develop and implement machine learning models and algorithms to solve complex problems
  • Work with multi-functional teams to build and deploy scalable machine learning solutions
  • Conduct research and stay updated on the latest trends in machine learning and artificial intelligence
  • Optimize machine learning models for performance and accuracy
  • Analyze large datasets to extract meaningful insights and drive data-informed decisions
  • Engage in code reviews and contribute to maintaining high-quality standards in software development
  • Explore and apply emerging AI capabilities, including agentic systems and generative AI, as we extend the reach of our core analytical solutions
What You Need to SucceedEducational Requirements

Ph.D. degree or equivalent experience in Statistics, Applied Mathematics, Computer Science, or a relevant field, OR Master's degree in these fields with 2+ years of relevant industry experience

Core Skills
  • Proficient in programming languages such as Python, R, or similar
  • Strong foundation in probability, statistics, and mathematical modeling
  • Knowledge of common machine learning algorithms and techniques
  • Hands-on experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn
  • Strong analytical and problem-solving skills with a focus on data-driven decision-making
Additional Qualities
  • Experience contributing to the development and deployment of machine learning models, including in production environments
  • Ability to thrive in collaborative, dynamic, and fast-paced settings
  • A passion for knowing the latest advancements in machine learning and continuous self-improvement
  • Strong communication skills to effectively convey complex technical concepts to diverse collaborators
  • Exposure to or curiosity about generative AI and agentic AI frameworks, and how they complement and extend traditional ML workflows

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.

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

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