Machine Learning Engineer

    • Adobe Systems
  • San Jose, CA
  • Posted 60+ days ago | Updated 3 hours ago

Overview

On Site
USD 135,200.00 - 250,900.00 per year
Full Time

Skills

Research and development
C++
Machine Learning (ML)
Software development
Mobile devices
Product management
Computer science
Electrical engineering
Operations research
Deep learning
Data mining
Problem solving
Programming languages
Objective-C
Statistical models
scikit-learn
Adobe
Cloud computing
Artificial intelligence
Innovation
Art
Editing
Generative Artificial Intelligence (AI)
Documentation
IMPACT
Natural language processing
Data
Collaboration
Statistics
Mathematics
Econometrics
Python
Java
TensorFlow
PyTorch
Analytical skill
Communication
Blogging

Job Details

JOB LEVEL
P40
EMPLOYEE ROLE
Individual Contributor

The Opportunity
Adobe Document Cloud AI & Innovation team is looking for a Machine Learning Engineer. We are the team behind Adobe Liquid Mode which was featured on TIME's Best Invention of 2023 and listed on Fortune's Change the World List! We are looking for someone who will apply AI and machine learning techniques to help Adobe deliver state of the art document experiences to its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems related to document viewing, editing, creation, etc.

By using machine learning techniques, the candidate will work on the research and development of exciting projects such as Document Classification and GenAI capabilities for Documents.

Ideal candidates will have a strong academic background as well as technical skills in machine learning and software development. Familiarity with working with large-scale datasets would be a plus. In this role your work will have the potential to have a positive impact on the lives of millions of people across the world!

What You'll Do
  • Develop predictive models (CV and/or NLP) trained on large-scale datasets to address various business problems with sophisticated machine learning techniques.
  • Develop and implement scalable and efficient ML models that can work with large-scale data in production systems running on mobile devices with limited memory and compute.
  • 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 PhD or MS degree in in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
  • Deep understanding of machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.
  • Proficient in one or more programming languages such as Python, Java, Objective C or C++
  • Familiar with one or more machine learning or statistical modeling tools such as TensorFlow, PyTorch, or scikit-learn
  • Strong analytical and quantitative problem-solving ability.
  • Excellent communication, relationship skills and a strong team player.
  • 5+ years related experience in AI/ML

If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.

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 $135,200 -- $250,900 annually. Paywithin this range varies by work locationand 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.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We're glad that you're pursuing a new opportunity at Adobe!

Put your best foot forward:

1. Update your Resume/CV and Workday profile - don't forget to include your uniquely 'Adobe' experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you're interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact