Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.

Get Resume Score

United States Jobs Expertini

Sr GenAI Modeling Engineer & Architect Job Opening In Seattle – Now Hiring Adobe

Sr GenAI Modeling Engineer & Architect

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

The Training Data Ecosystem for Generative AI ( AI-Platform) team at Adobe Firefly is looking for a senior GenAi applied researcher and solutions architect who has proven experience in training models in Generative AI and related applications including image/video generation, image/video editing, image/video understanding, large language models, and multimodal foundation models.

This role includes modeling and applied research opportunities combined with the chance to architect the training data ecosystem that powers our generative AI models for content synthesis and editing.

As a senior applied research engineer and architect, you will be joining an outstanding team.

You will have the opportunity to research, develop, and deploy large-scale machine learning solutions to advance the Creativity world through features in Adobe's products, reaching millions of people worldwide!

Job Responsibilities

Conduct pioneering research and development in Generative AI, LLMs, LMMs, and reinforcement learning

Develop and deploy novel generative AI technologies to Adobe Products

Collaborate with world-class researchers and ML engineers to bring research ideas to production

Work closely with data scientists, engineers, researchers, and product managers to build AI/ML solutions on the training data ecosystem to deliver a robust, scalable, and efficient data pipelines for the entire training data lifecycle.

Complete the comprehensive strategy for acquiring, processing, curating, annotating, versioning, and ensuring the quality of large-scale training datasets for Adobe Firefly.

Work across organizational boundaries to align priorities and drive projects forward.

Evaluate and integrate new tools, technologies, and methodologies to
continuously improve the training data infrastructure, workflows, and team
productivity.

What You'll Need to Succeed

Core Qualifications:

Masters or in Computer Science, Data Science, Engineering, AI/ML, or a related technical field.

Proficient in Python and PyTorch.

Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio.

Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques.

Experience with post-training techniques such as fine-tuning, alignment or distillation.

Proven ability in building, deploying, measuring, and maintaining large-scale generative models (, GANs, diffusion models, Transformers).

Proven ability in building large-scale distributed ML pipelines focusing on Generative Ai.

In-depth knowledge of machine learning algorithms and their applications to business problems with focus on Generative AI specially image and video.

Deep understanding of the end-to-end data lifecycle for machine learning, particularly the unique challenges and requirements for training large-scale generative models (, GANs, diffusion models).

Proficiency with cloud-based data storage and processing technologies (, AWS S3/Glue/EMR, Azure Blob Storage/Data Factory, GCP Cloud Storage/Dataflow, Spark, Databricks, Snowflake).

Preferred Experience:

Strong publication record in reinforcement learning, LLMs, and LMMs

Experience on large-scale generative model training

Experience on synthetic data generation

Experience of working with large-scale datasets

Experience of working with product teams on technology transfers

Experience with MLOps principles and tools, particularly those focused on data management, data versioning (, DVC), and experiment tracking for ML.

A track record of contributions to open-source data tools, relevant academic

publications, or patents in the data management space.

Experience supporting large-scale generative model training through the delivery of robust and high-quality data solutions.

Expertise in data quality assessment methodologies, data governance frameworks, data versioning strategies, and data annotation/labeling techniques and platforms.

Experience working directly with, and managing, large-scale image and/or video
datasets, including their acquisition, processing, and quality control.

#FireflyGenAI

Our compensation reflects the cost of labor across several geographic markets, and we pay differently based on those defined markets.

The pay range for this position is $162,000 -- $301,200 annually.

Pay within this range varies by work location and 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.

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.

Required Skill Profession

Computer Occupations