Sr. Manager, Applied Machine Learning at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Master's or PhD in Computer Science, ML, Applied Mathematics, 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
A track record of leading a team of ML and AI engineers for at least 3 years
Proven success in delivering ML-powered products at scale using foundation models and large data pipelines
Skilled at translating business needs into AI/ML solutions and taking innovations from research to production
Strong coding expertise (Python, Java) and experience with PyTorch, TensorFlow, and cloud-scale systems
Experienced leader encouraging innovation
Preferred Qualifications
Experience in creative fields (such as design, media, or content platforms), particularly in applying AI to improve search, discovery, and personalization
Strong background in modern NLP, including query understanding, intent modeling, semantic search, and multimodal interaction
Hands-on experience with Large Language Models (LLMs), Diffusion Models, and other generative AI techniques
Established record of building and growing large-scale, high-functioning ML systems for production use

Responsibilities

Guide, coach, and develop a top-performing group of ML engineers and data scientists
Define the technical roadmap, set priorities, and guide the development of high-impact ML solutions in relevance, query understanding, and personalization
Develop strong cross-functional partnerships with product, research, and engineering teams to build the product vision, ML strategy, engineering roadmap, and execution plans
Coordinate all aspects of the ML product lifecycle, including model development, data/ML pipelines, quality evaluation, and deployment
Ensure standard methodologies in MLOps, cloud deployment, and system integration for scalable, reliable applications
Foster a team culture grounded in rigorous scientific methods, deep customer understanding, and continuous innovation
Drive an engineering culture that values creativity, high-quality delivery, and operational excellence
Proactively manage project scope, mitigate risks, and solve complex problems using data-driven insights
Maintain engineering excellence in architecture, execution, and delivery
Stay on top of AI/ML advancements, fostering experimentation, learning, and embracing innovative techniques

Skills

Machine Learning

Deep Learning

NLP

LLMs

Diffusion Models

Information Retrieval

Semantic Search

Visual Search

Recommendations

Query Understanding

Personalization

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters

1994Year Founded

$668.9MTotal Funding

IPOCompany Stage

Consumer Software, Enterprise Software, DesignIndustries

10,001+Employees