Lead Applied ML Research Engineer at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Digital Media, Artificial IntelligenceIndustries

Requirements

B.S. or higher in Computer Science, Engineering, Mathematics or a related field
8+ years of hands-on experience building and deploying ML models in production
Demonstrated expertise in training, finetuning, optimizing LLMs / large-scale models
Proficiency in Python and deep knowledge of leading ML frameworks and libraries
Strong passion for AI-driven innovation and a track record of delivering impactful, production-grade AI solutions
Excellent analytical and problem-solving skills with the ability to thrive in a fast-paced, collaborative environment

Responsibilities

Research, train, and deploy SOTA ML models for enterprise use-cases
Leverage LLMs to analyze complex data and build advanced knowledge-extraction and insight-generation systems
Explore and iterate on emerging LLM techniques to advance the frontier of Context Engineering
Build and optimize agentic AI workflows that enable users to dynamically interact and refine outputs from ML systems
Develop scalable frameworks to evaluate the accuracy, robustness and usability of complex AI agents
Partner closely with product, UX, business development and strategic partners to translate AI innovations into enterprise-grade production features
Collaborate with AI Research team to constantly explore and evaluate emerging AI technologies and transform research ideas into interactive prototypes

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIApplied ResearchModel CustomizationGenAI APIsFirefly ServicesCustom Models

Questions & Answers

Common questions about this position

What is the employment type for this position?

This is a full-time position.

Is this role remote or does it require office work?

This information is not specified in the job description.

What key skills are required for the Lead Applied ML Research Engineer role?

Key skills include researching, training, and deploying SOTA ML models, leveraging LLMs for data analysis and insight generation, exploring LLM techniques for Context Engineering, building agentic AI workflows, and developing scalable evaluation frameworks for AI agents.

What is the company culture like at Adobe for this team?

The team is highly collaborative, working closely with internal product teams and strategic partners in a team-oriented culture, with a commitment to respecting everyone and providing equal opportunity.

What makes a strong candidate for this Lead Applied ML Research Engineer position?

Strong candidates can drive and solve complex AI problems, have deep empathy for customers, and deliver tangible results, while bridging SOTA research with real-world applications.

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

Benefits

Company Equity

401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.

Open-source alternatives may attract users away from Adobe's subscription model.

Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.

Adobe's subscription model includes special pricing for students, teachers, and businesses.

Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.

Remote work boosts demand for Adobe's cloud-based document management solutions.

AR's popularity in marketing benefits Adobe's 3D and AR tools.

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