Senior Machine Learning Engineer (Firefly)

Adobe Software

Adobe Software

Software Engineering
Bengaluru, Karnataka, India
Posted on Apr 5, 2025

JOB LEVEL

P55

EMPLOYEE ROLE

Individual Contributor

Position Summary:

Adobe Firefly Gen AI Models and services group seeks a Firefly models & Services architect for generative AI models.

We need a dedicated architect with expertise in machine learning to support the creation, improvement, and deployment of model pipelines for Adobe's top products in various domains.

As a Firefly model architect, you will join an outstanding team of ML and service engineers building the future of digital experiences. You will help set long-term technical strategy and work across multiple Adobe teams to architect the pipelines of the future foundation models at Adobe. You will make important architecture decisions and prioritize model optimization experiments. You will have the opportunity to develop novel ideas to advance the creative world through features in Adobe's products and reach millions of people worldwide!

Job Responsibilities

  • Help architect and optimize large-scale foundation model pipelines in Generative AI

  • Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces

  • Collaborate with outstanding Applied researchers and engineers to bring ideas to production

  • Provide technical leadership and mentorship for junior team members

  • Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe’s GenAI engineering effectiveness and efficiency

  • Review and provide feedback on features, technology, architecture, designs and test strategies.

What you'll need to succeed

  • Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML

  • 12+ years of experience

  • 3+ years as a Lead/Architect

  • Excellent communication and technical leadership skills

  • Experience in tech leading a large number of contributors on time-sensitive and business-critical GenAI projects

  • Experience in the latest Generative AI technologies, such as GAN, diffusion, transformer models

  • Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features

  • Strong collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done

Preferred experience:

  • Experience training or optimizing models (CUDA, Triton, TRT, AOT)

  • Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats to ensure compatibility and optimized performance across different platforms

  • Good publication record in Computer Science, AI/ML, or related fields

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.

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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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