Machine Learning Engineer 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

Masters or Ph.D. in Computer Science, AI/ML or related fields
Publication record and good academic background in Computer Vision and foundational models
Excellent communication skills
Strong proficiency in Python and PyTorch
Experience with distributed training and its common strategies
Experience in state-of-the-art Generative AI technologies, such as VLMs and diffusion models
Strong hands-on experience working on image/video understanding, generation and editing
Working with large-scale datasets

Responsibilities

Develop and fine-tune (e.g., ViTs, VLMs, multimodal encoders) large-scale foundation models for video understanding and generation
Drive data for models: design schemas, create/curate large-scale multimodal datasets (image/video/text/edits), and build automated filters, alignment, and de-duplication at production scale
MLLM & Editing FMs: research, train, and evaluate multimodal LLMs and editing-oriented foundation models that enable creation, transformation, and in-product editing workflows
Collaborate with extraordinary researchers and engineers to bring research ideas to production
Stay on top of the latest ML research (e.g., diffusion models, alignment methods, multimodal understanding) and translate advances into practical solutions

Skills

Key technologies and capabilities for this role

ViTsVLMsmultimodal encodersfoundation modelsvideo understandingvideo generationmultimodal datasetsdata curationmodel fine-tuningMLLMsdataset alignmentde-duplication

Questions & Answers

Common questions about this position

What is the pay range for this Machine Learning Engineer position?

The U.S. pay range for this position reflects the cost of labor across several geographic markets, with pay varying based on those defined markets. Specific figures are not provided.

Is this Machine Learning Engineer role remote or office-based?

This information is not specified in the job description.

What skills and experience are required for this Machine Learning Engineer role?

Candidates need a Masters or Ph.D. in Computer Science, AI/ML or related fields, strong proficiency in Python and PyTorch, experience with distributed training, and hands-on work in image/video understanding, generation, editing, and state-of-the-art Generative AI like VLMs and diffusion models. A publication record in Computer Vision and foundational models is also required.

What is the team culture like at Adobe's ASML group?

You'll join an outstanding team of applied researchers and engineers building the future of digital experiences, collaborating with extraordinary researchers to bring ideas to production in a company committed to exceptional employee experiences, respect, equal opportunity, and empowering creativity.

What makes a strong candidate for this Machine Learning Engineer position?

Strong candidates have a Masters or Ph.D. with a publication record in Computer Vision and foundational models, combined with hands-on industrial research experience in video understanding and generation.

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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