Adobe
Machine Learning Engineer 20 at Adobe
Overview
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. This role is located 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 PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field is required. 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. Compensation and Notices
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 $102,400 -- $196,300 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 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, 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 not listed for Colorado, no specific window applies. 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 penalties. 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 is committed to accessibility; if you require accommodation to navigate our site or complete the application, email accommodations@adobe.com or call (408) 536-3015. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services, IT Services and IT Consulting, and Software Development
#J-18808-Ljbffr
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. This role is located 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 PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field is required. 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. Compensation and Notices
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 $102,400 -- $196,300 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 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, 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 not listed for Colorado, no specific window applies. 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 penalties. 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 is committed to accessibility; if you require accommodation to navigate our site or complete the application, email accommodations@adobe.com or call (408) 536-3015. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Advertising Services, IT Services and IT Consulting, and Software Development
#J-18808-Ljbffr