Description

JOB LEVEL
P40

EMPLOYEE ROLE
Individual Contributor

Machine Learning Engineer

The Opportunity

The Adobe Document Cloud's AI & Innovation Team is looking for an experienced Senior ML Engineer to help with a variety of Machine Learning (ML) related projects. The Adobe Document Cloud is responsible for technologies for building, manipulating and consuming PDF files across a range of services, mobile apps and desktop products. The flagship PDF application within DC is Adobe Acrobat, which is installed on over a billion devices and opens billions of PDFs every year. Our offerings extend beyond Acrobat to Adobe Sign, Document Cloud Platform, and Adobe Scan.

The team’s mission is to use ML to build new experiences with documents, across our entire suite of offerings. Our most recent public features are Liquid Mode, allowing a seamless reflow experience for PDFs on phones and tablets; PDF Extract API for unlocking the structure and content elements of any PDF; Table Decomposition feature in Liquid Mode; and now new generative AI features. All products are driven by AI. Our team’s solutions are deployed on mobile devices, in the cloud, and on desktop.

As an ML leader, you will get to democratize (generative) AI for all, and empower a team of accomplished scientists and engineers who are dedicated to building the future of AI and documents, and delivering delightful experiences.
What you'll do

We are looking for a Senior full-stack ML Engineer to design, lead and facilitate various tech transfer efforts from Adobe Research to Document Cloud which includes system design, ML model assessment, building data pipelines, automation architecture, visualization, system deployment, and the creation of prototypes to help validate our ideas.

If you have a passion for shipping groundbreaking data-driven customer-facing features, learning new technologies every day, and working on high visibility projects with ample room for creativity, this might be a good fit for you.

On the team you will join a diverse, lively group of engineers and scientists.

The work is dynamic, fast-paced, creative, collaborative and data-driven.
What we are looking for:
• MS or PhD in computer science or a related technical field.
• 5+ years of industry work experience. Good sense of product with a focus on shipping user-facing data-driven features.
• Expertise in Python and Python based ML/DL and Data Science frameworks.
• Excellent coding, analysis, and problem-solving skills. Proven knowledge of data structure and algorithms.
• Familiarity in relevant machine learning frameworks and packages such as Tensorflow, PyTorch and HuggingFace
• Experience working with Product Management and decomposing feature requirements into technical work items to ship products
• Experience with generative AI, knowledge of ML Ops and ML services is a plus. This includes Pinecone, LangChain, Weights and Biases etc.
• Familiarity with deployment technologies such as Docker, Kubernetes and Triton are a plus
• Strong communication and collaboration skills

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 $127,400 -- $238,700 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 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 [email protected].

Qualifications

• MS or PhD in computer science or a related technical field
• 5+ years of industry work experience
• Good sense of product with a focus on shipping user-facing data-driven features
• Expertise in Python and Python based ML/DL and Data Science frameworks
• Excellent coding, analysis, and problem-solving skills
• Proven knowledge of data structure and algorithms
• Familiarity in relevant machine learning frameworks and packages such as Tensorflow, PyTorch and HuggingFace
• Experience working with Product Management and decomposing feature requirements into technical work items to ship products
• This includes Pinecone, LangChain, Weights and Biases etc
• Strong communication and collaboration skills
• Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work
• 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

Benefits

• Our compensation reflects the cost of labor across several\u202f U.S. geographic markets, and we pay differently based on those defined markets
• The U.S. pay range for this position\u202fis $127,400 -- $238,700 annually
• 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