Applied Scientist, Generative AI for Creative Tools

Adobe Inc.; San Jose (CA); On-site; USD 142,700 - 257,600; Full time

Job summary

A leading digital experience company is seeking an Applied Scientist to work on innovative research in Generative AI. The ideal candidate will possess a Master's or Ph.D. in Computer Science or related fields, along with a strong background in image and video generation. The position offers a competitive salary range of $142,700 to $257,600 annually based on experience and location.

Qualifications

• Strong hands-on experience working on image/video generation and image/video editing.
• Good publication record in Computer Science, AI/ML or related fields.

Responsibilities

• Conduct innovative research and development in Generative AI.
• Develop and transfer novel technologies to Adobe products.
• Collaborate with researchers and engineers to bring research ideas to production.

Skills

Generative AI technologies

Python programming

Communication skills

Collaboration

Education

Masters or Ph.D. in Computer Science, AI/ML or related fields

Tools

Machine learning toolkits

Large-scale datasets

Job description

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!

The Opportunity

Our focus is developing AI technologies for text, image, and videos to boost creativity.

We're seeking an outstanding ML engineer with deep expertise in generative AI technologies. This is a chance to create a huge impact in a fast-paced, startup-like environment in a great company. Join us!

The position involves system design, ML model assessment, data pipeline optimization, visualization creation, and GPU efficiency improvement.

Responsibilities:

• You'll train and finetune ML models that solve business use cases and handle data at scale.
• You will profile GPU utilization, trace inference and training runs and help craft strategies for optimizing our ML model latency.
• We'll work together to architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust.
• You'll dive deep into data to recommend the right models, evaluation metrics, and governance approaches.
• Throughout the product lifecycle, you'll engage in architecture, design, deployment, and optimizations of ML models and systems.

Requirements:

• We're looking for someone with a graduate, PhD, or postgraduate degree in Computer Science, Computer Engineering, or a related field-or equivalent experience.
• Seek candidates with 0+ years ML Engineering experience, specializing in generative AI like LLMs.
• Your strong Python and deep learning engineering skills, paired with experience in training and inferencing with PyTorch or TensorFlow, will be essential.
• Familiarity with distillation, transformers, and diffusion models. Experience with generative image and video is a plus.
• Knowledge of deployment technologies such as Docker, ML Ops, and ML services is valuable, and experience with cloud platforms like Azure and AWS is a plus.
• We value your excellent problem-solving abilities and your capacity to analyze complex issues and drive solutions with a data-driven approach.
• Your strong verbal and written communication skills and success in cross-functional team environments will help us all succeed together.

#FireflyGenAI

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 $125,600 -- $234,150 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.

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!

The Opportunity

Our focus is developing AI technologies for text, image, and videos to boost creativity.

We're seeking an outstanding ML engineer with deep expertise in generative AI technologies. This is a chance to create a huge impact in a fast-paced, startup-like environment in a great company. Join us!

The position involves system design, ML model assessment, data pipeline optimization, visualization creation, and GPU efficiency improvement.

Responsibilities:

• You'll train and finetune ML models that solve business use cases and handle data at scale.
• You will profile GPU utilization, trace inference and training runs and help craft strategies for optimizing our ML model latency.
• We'll work together to architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust.
• You'll dive deep into data to recommend the right models, evaluation metrics, and governance approaches.
• Throughout the product lifecycle, you'll engage in architecture, design, deployment, and optimizations of ML models and systems.

Requirements:

• We're looking for someone with a graduate, PhD, or postgraduate degree in Computer Science, Computer Engineering, or a related field-or equivalent experience.
• Seek candidates with 0+ years ML Engineering experience, specializing in generative AI like LLMs.
• Your strong Python and deep learning engineering skills, paired with experience in training and inferencing with PyTorch or TensorFlow, will be essential.
• Familiarity with distillation, transformers, and diffusion models. Experience with generative image and video is a plus.
• Knowledge of deployment technologies such as Docker, ML Ops, and ML services is valuable, and experience with cloud platforms like Azure and AWS is a plus.
• We value your excellent problem-solving abilities and your capacity to analyze complex issues and drive solutions with a data-driven approach.
• Your strong verbal and written communication skills and success in cross-functional team environments will help us all succeed together.

#FireflyGenAI

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 $125,600 -- $234,150 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.
In California, the pay range for this position is $161,700 - $234,150

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.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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