Machine Learning Engineer 5
Adobe Software
JOB LEVEL
P50EMPLOYEE ROLE
Individual ContributorAdobe is seeking a Machine Learning Engineer 5 to contribute to the development of advanced machine learning models and platforms for personalized and creative customer experiences. As a senior member of the AEP AI team, you will lead the design and deployment of ML solutions and build products that drive business outcomes and empower users through intelligent, AI-powered tools.
This role involves working on complex, large-scale projects at the intersection of machine learning, creativity, and user experience—building products with AI, including GenAI, at the core to enhance creativity and boost productivity for our customers and their customers as well.
You will collaborate closely with Adobe Research and multiple product teams, helping shape products where AI is not an add-on, but a central enabler of value. The AEP AI team is composed of engineers and scientists working in a fast-paced, data-driven environment focused on delivering impactful ML-powered solutions across Adobe’s Digital Experience offerings.
What you'll do
Lead engineers and collaborate with product managers to craft, build, and implement machine learning systems that solve sophisticated business problems.
Architect and optimize end-to-end ML pipelines for scalability, performance, and reliability.
Collaborate with senior leadership and multi-functional teams to support central AI initiatives and drive innovation.
Collaborate with product and platform teams to integrate ML and GenAI models into Adobe products, with a focus on enabling creative and productive experiences.
Perform rigorous testing, debugging, and tuning of ML systems in production environments.
Mentor junior engineers and scientists, advocating for standard methodologies and a culture of experimentation and learning.
Contribute to research papers, open-source initiatives, and represent Adobe at conferences and industry forums.
Provide technical leadership, driving the adoption of modern ML practices and technologies.
What you need to succeed
Bachelor’s or advanced degree with 8+ years of experience, or PhD with 5+ years in crafting, evaluating, and deploying machine learning models at scale.
Deep expertise in machine learning, statistical modeling, and applied AI.
Proven success in shipping ML models to production, with measurable business impact.
Proficiency in Python, Java, or C++, and experience with ML tools such as PyTorch, TensorFlow, scikit-learn, SparkML, or similar.
Strong analytical and problem-solving skills, with an ability to distill complexity into clear, actionable strategies.
Excellent communication and collaboration skills, with the ability to influence product and engineering teams.
A track record of mentorship and technical leadership.
Passion for Generative AI and applying ML to improve creativity and efficiency.
Experience collaborating across research and product teams, bridging the gap between innovation and delivery.
#AEPGENAI
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:
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 (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:
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.
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.
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