Sr GenAI Modeling Engineer & Architect
Adobe Software
JOB LEVEL
P50EMPLOYEE ROLE
Individual ContributorThe Opportunity
The Training Data Ecosystem for Generative AI (a.k.a 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 Ph.D. 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 (e.g., 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 (e.g., GANs, diffusion models).
- Proficiency with cloud-based data storage and processing technologies (e.g., 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 (e.g., 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 U.S. geographic markets, and we pay differently based on those defined markets. The U.S. 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.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
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