Machine Learning Engineer

Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers’ full lifecycle, from customer analytics to marketing media optimization.

By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis.

Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, analyzing data, and software development. Familiarity with working with large-scale datasets and scalable data handling approaches would be a plus.

• →Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques.
• →Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
• →Collaborate with product management and engineering groups to develop new products and features.

• PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, or a related technical field or equivalent industry experience
• 3+ years of hands-on experience in machine learning engineering or applied data science
• Deep understanding of statistical modeling, machine learning, and deep learning  with a track record of taking these methods from experimentation to production
• Proficiency in Python , experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Familiarity with statistical modeling and analysis tools (R, MATLAB, or equivalent)
• Solid experience with relational databases, SQL, and large-scale data pipelines (Spark, Pandas, or similar)
• Experience with the full ML lifecycle: feature engineering, model training, evaluation, deployment, and post-launch monitoring
• Strong analytical and quantitative problem-solving ability , comfortable with ambiguity and capable of driving toward a solution independently
• Excellent communication skills, able to convey technical findings clearly to both engineering and cross-functional stakeholders, strong collaborator and team player

• Experience with LLMs, RAG pipelines, or generative AI
• Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
• Experience with A/B testing and Survival/time-to-event modeling
• Knowledge of responsible AI practices (bias detection, model explain-ability)

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. 

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.