Machine Learning Engineer

United States·San Josemid

Machine Learning EngineerData

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Machine Learning Engineer The Opportunity Join Adobe and be at the forefront of driving digital transformation. As a Machine Learning Engineer,

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Machine Learning EngineerData

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.

Responsibilities

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→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

Requirements

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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

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

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

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.

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.

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:

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

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:

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.