Machine Learning Engineer

12 Minutes ago • All levels • $120,700 PA - $228,600 PA

Job Summary

Job Description

The Machine Learning Engineer will develop and implement advanced algorithms to drive intelligence in products and systems. This role involves crafting, programming, and optimizing software algorithms for structured and unstructured environments. Responsibilities include building predictive and prescriptive models using machine learning techniques, designing and implementing algorithms for large-scale computing environments, and collaborating with teams to integrate insights into products. This role is in the San Jose, CA office.
Must have:
  • Master's degree in CS, ML, AI or related field.
  • Strong experience in Python, R, or Java.
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Proficiency in large-scale data analysis systems.
  • Experience in statistical modeling and deep learning.
  • Excellent communication and teamwork skills.
Good to have:
  • Experience solving problems with AI/ML to improve business operations.
  • Knowledge of distributed computing frameworks (Spark, Hadoop).
  • Familiarity with deploying and maintaining ML models in production.

Job Details

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!


 

We are looking for a highly skilled Machine Learning Engineer to develop and implement advanced algorithms that drive intelligence in our products and systems. You will work on crafting, programming, and optimizing coordinated software algorithms for structured and unstructured environments. Your work will enable data-driven insights and improvements in product performance, quality, and accuracy through innovative machine learning and statistical modeling techniques.

THIS ROLE IS IN OUR SAN JOSE, CA OFFICE.****

Key Responsibilities:

  • Develop and program coordinated software algorithms for data analysis and decision-making in both product design and system improvement projects.
  • Leverage machine learning techniques such as decision trees, logistic regression, Bayesian analysis, and deep learning to build predictive and prescriptive models.
  • Apply deep learning technologies to enable advanced capabilities in Marketing Software.
  • Design, implement, and optimize algorithms in large-scale computing environments, ensuring efficient processing of structured and unstructured data.
  • Perform testing, debugging, and documentation to ensure robust deployment and maintenance of machine learning models.
  • Collaborate with teams to integrate insights into products and systems.
  • Stay updated with the latest advancements in artificial intelligence, machine learning, and data science to improve our technological capabilities.

Required Qualifications:

  • A Master Degree or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field is necessary.
  • Strong experience in programming languages such as Python, R, Java.
  • Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
  • Proficiency in working with large-scale data analysis systems and cloud computing frameworks.
  • Experience in statistical modeling, predictive analytics, and deep learning techniques.
  • Strong problem-solving skills and the ability to translate complex algorithms into efficient code.
  • Excellent communication skills and ability to work collaboratively in a team environment.

Preferred Qualifications:

  • Experience in AI/ML solving problems to improve business operations.
  • Knowledge of distributed computing frameworks (Spark, Hadoop) for large-scale data processing.
  • Familiarity with deploying and maintaining machine learning models in production.

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 $120,700 -- $228,600 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.

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 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 or call (408) 536-3015.

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About The Company

Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.


 

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