Machine Learning Engineer

    • Adobe Systems
  • San Jose, CA
  • Posted 60+ days ago | Updated 8 hours ago

Overview

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

Skills

Machine Learning (ML)
Mobile applications
Adobe Acrobat
Generative Artificial Intelligence (AI)
Mobile devices
Prompt Engineering
Systems design
Customer facing
Data Science
Problem solving
Data structure
Product management
Machine Learning Operations (ML Ops)
Adobe
Cloud computing
Artificial intelligence
Innovation
PDF
Documentation
Tablet
API
Design
Leadership
Research
Data
Automation
Visualization
Software deployment
Prototyping
Evaluation
Shipping
Creativity
Statistics
FOCUS
TensorFlow
PyTorch
Software development
Algorithms
LangChain
Docker
Kubernetes
Communication
Collaboration

Job Details

JOB LEVEL
P40
ADDITIONAL JOB LEVELS
P30
-
P50
EMPLOYEE ROLE
Individual Contributor

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
Senior full-stack ML Engineer to design, lead and facilitate various tech transfer efforts from Adobe Research to Document Cloud. This role includes prompt engineering, system design, ML model assessment, building data pipelines, automation, visualization, deployment, the creation of prototypes, evaluation, operationalization, 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 machine learning, data science or statistics
  • 5+ years of industry work experience. Good sense of product with a focus on shipping user-facing data-driven features.
  • Expertise working with the PyData stack, as well as good experience with ML platforms such as Tensorflow, PyTorch and HuggingFace
  • Excellent coding, analysis, and problem-solving skills.
  • Proven knowledge of data structure and algorithms.
  • Experience working with Product Management and decomposing feature requirements into technical work items to ship products
  • Experience with generative AIxknowledge highly desired.
  • Experience with 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 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.

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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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