Senior Manager, Applied Machine Learning (GenAi, Semantic Search, and Conversational Search)

    • Adobe Systems
  • San Jose, CA
  • Posted 13 days ago | Updated 5 hours ago

Overview

On Site
USD 160,200.00 - 322,300.00 per year
Full Time

Skills

Large Language Models (LLMs)
Creative problem solving
Machine Learning (ML)
Semantic search
Big data
Generative Artificial Intelligence (AI)
Adobe
Information retrieval
Creative design
Strategy
Product development
Software engineering
Customer engagement
Project scoping
Data Analysis
Computer science
Applied mathematics
Data Science
Deep learning
Problem solving
Conflict resolution
Design
IDEA
Streaming
Laptop
Tablet
Data
Artificial intelligence
Creativity
FOCUS
Cloud computing
Adobe Photoshop Lightroom
Adobe Photoshop
Partnership
Roadmaps
Management
Facets
Modeling
Leadership
Mentorship
Innovation
Optimization
Algorithms
Analytical skill
Writing
Presentations

Job Details

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

At Adobe, we're changing the world. How? We give people the tools to bring their ideas to life and create content that makes life more fun and work more meaningful. We give businesses and organizations the power to truly engage their customers. We're the ones behind the gorgeously designed content that streams across your laptop, TV, phone, and tablet every day-and we're the ones who harness the massive power of big data to help companies move from data to insight and insight to action by delivering content that people crave most.

The Opportunity
In the SDC (Search, Discovery, and Content AI) Organization at Adobe, our responsibilities include enhancing Semantic Search and conversational Search and applying Generative AI to the Creativity Domain across Adobe products, with a special focus on Adobe Express, Adobe Stock, Document Cloud, Lightroom, and Photoshop. We use machine learning and AI in information retrieval, encompassing query and content understanding, as well as ranking and scoring of creative assets. Our expansion into Neural Agents combines the power of diffusion models, large language models, and Adobe's domain expertise to bolster our AI ecosystem.

We are seeking an exceptional leader to advance our strategy and execution in applying AI/ML technologies across various areas, including deep neural search, conversational search, creative design variations, generative search, Retrieval Augment Generation, and Neural Agents.
What You'll Do
  • Cultivate strong partnerships with cross-functional teams to shape the product vision, roadmap, and business strategy.
  • Oversee all facets of ML product development and the software engineering lifecycle, including ML modeling, data/ML pipelines, and quality evaluations.
  • Recruit, lead, and mentor a team with varied strengths of ML engineers and data scientists.
  • Cultivate a team culture centered on meticulous scientific methods and deep customer engagement.
  • Promote an engineering culture that values innovation and creativity while ensuring high-quality, reliable product deliveries.
  • Lead project scope and address risks through data analytics and creative problem-solving.
  • Uphold engineering excellence in architecture, execution, and delivery.
Basic Qualifications:
  • Bachelor's, Master's, or PhD in Computer Science, ML, Applied Mathematics, Data Science, or a related technical field, or equivalent technical experience.
  • At least 8 years of industry experience in machine learning, optimization algorithms, and/or deep-learning techniques.
  • At least 3 years of experience managing a team of ML and AI engineers.
Preferred Qualifications:
  • Work experience in Creative Domains will be highly useful
  • Good exposure to LLMs and Diffusion Models
  • Experience developing large scale systems
What you need to succeed
  • Proven record of leading and managing engineering teams and fostering an innovative and collaborative environment.
  • Track record of delivering cloud-scale, data-driven products and services that are widely adopted with large customer bases.
  • A relentless pursuit of great customer experiences and continuous improvements to the product.
  • Strong interpersonal, analytical, problem-solving, and conflict resolution skills.
  • Excellent speaking, writing, and presentation skills, and the ability to persuade, encourage, and empower others.
  • Ability to clearly communicate technical concepts to non-technical internal partners and customers.
  • Advanced degree or equivalent experience in computer science or a related field of study.

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 $160,200 -- $322,300 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.

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 applicable characteristics protected by law. Learn more.

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Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.