Lehi, UT · On-site +1
$45 - $55/hr
Managers and their organization will determine the frequency they need to go into the office to ... Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and ...
Lehi, UT · On-site +1
$45 - $55/hr
Managers and their organization will determine the frequency they need to go into the office to ... Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
Develop and enhance the machine learning platform to manage the full model life cycle * Build frameworks and tools to enable the data science team developing and enhancing predictive models, support ...
Develop and enhance the machine learning platform to manage the full model life cycle * Build frameworks and tools to enable the data science team developing and enhancing predictive models, support ...
Developand enhance the machine learning platform to manage the full model life cycle * Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models ...
Developand enhance the machine learning platform to manage the full model life cycle * Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models ...
Developand enhance the machine learning platform to manage the full model life cycle * Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models ...
Developand enhance the machine learning platform to manage the full model life cycle * Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models ...
Lehi, UT · On-site
Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...
Lehi, UT · On-site
Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...
Lehi, UT · On-site
Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...
Lehi, UT · On-site
Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...
Lehi, UT · On-site
Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...
Lehi, UT · On-site
Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...
Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...
Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...
Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...
Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...
... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...
... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...
... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...
... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...
... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...
... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...
... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...
... Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product ...
Lehi, UT · On-site
... machine learning algorithms and techniques • Strong problem-solving skills and ability to work independently and collaboratively • Strong experience with SQL or noSQL and database management ...
Lehi, UT · On-site
... machine learning algorithms and techniques • Strong problem-solving skills and ability to work independently and collaboratively • Strong experience with SQL or noSQL and database management ...
Lehi, UT · On-site
$107K - $183K/yr
... of machine learning algorithms and techniques * Strong problem-solving skills and ability to work independently and collaboratively * Strong experience with SQL or noSQL and database management ...
Lehi, UT · On-site
$107K - $183K/yr
... of machine learning algorithms and techniques * Strong problem-solving skills and ability to work independently and collaboratively * Strong experience with SQL or noSQL and database management ...
$107K - $183K/yr
... of machine learning algorithms and techniques * Strong problem-solving skills and ability to work independently and collaboratively * Strong experience with SQL or noSQL and database management ...
$107K - $183K/yr
... of machine learning algorithms and techniques * Strong problem-solving skills and ability to work independently and collaboratively * Strong experience with SQL or noSQL and database management ...
Machine learning, Big Data) to develop/ optimize Credit strategies * Strong communication and ... manager and HR if you don't meet the time in position or performance expectations). Legal ...
Machine learning, Big Data) to develop/ optimize Credit strategies * Strong communication and ... manager and HR if you don't meet the time in position or performance expectations). Legal ...
Machine learning, Big Data) to develop/ optimize Credit strategies * Strong communication and ... manager and HR if you don't meet the time in position or performance expectations). Legal ...
Machine learning, Big Data) to develop/ optimize Credit strategies * Strong communication and ... manager and HR if you don't meet the time in position or performance expectations). Legal ...
$44.3K - $49.6K
10% of jobs
$49.6K - $54.9K
14% of jobs
$56.3K is the 25th percentile. Wages below this are outliers.
$54.9K - $60.2K
6% of jobs
$60.2K - $65.5K
10% of jobs
The median wage is $68.8K / yr.
$65.5K - $70.8K
17% of jobs
$70.8K - $76.1K
15% of jobs
$78.4K is the 75th percentile. Wages above this are outliers.
$76.1K - $81.4K
9% of jobs
$81.4K - $86.7K
4% of jobs
$86.7K - $92K
6% of jobs
$92K - $97.3K
5% of jobs
$97.3K - $102.6K
4% of jobs
$44.3K
$71K
$102.6K
$45 - $55/hr
Full-time
Posted 17 days ago
The Opportunity
Adobe is looking for a Machine Learning intern 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.
By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.
All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
What You'll Do
Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
Develop and implement scalable, efficient, and interpretable 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.
What You Need to Succeed
Currently enrolled full time and pursuing a Bachelor's, Master's or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 - June 2027
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
Proficient in one or more programming languages such as Python, Java and C
Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
Strong analytical and quantitative problem-solving ability.
Excellent communication, relationship skills and a team player
Ability to participate in a full-time internship between May-September
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 $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.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
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
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.
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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.
Computer and computer peripheral equipment and software wholesalers
10,000+ Employees
San Jose, CA, US
1982
