Applied Scientist 4

Adobe; Dadri; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Adobe is seeking an Applied Scientist (Level 4) in India to lead the development of next-generation generative AI capabilities for Creative Cloud. The role involves designing advanced AI solutions, collaborating with cross-functional teams, and mentoring other scientists. Candidates should have a Master's or PhD in relevant fields and strong programming skills in Python and/or C++. Experience with PyTorch or TensorFlow is essential. This role offers the opportunity to tackle complex problems affecting millions of users.

Qualifications

• Strong foundation in mathematics: linear algebra, geometry, optimization, and numerical methods.
• Experience shipping features or systems into production at scale.
• Ability to optimize algorithms and systems for performance in real-time or interactive environments.

Responsibilities

• Lead the design of advanced generative AI solutions for creative workflows.
• Architect end-to-end systems for model training and optimization.
• Collaborate with product and design teams to deliver impactful features.

Skills

Machine Learning

Generative Models

Image Processing

Python

C++

Deep Learning

Problem Solving

Education

Master's or PhD in Computer Science, Machine Learning, or related field

Tools

PyTorch

TensorFlow

Job description

About the Role

We are seeking an Applied Scientist (Level 4) to lead the development of next‑generation generative AI capabilities for Adobe Creative Cloud, with a focus on graphics and vector‑based design workflows. In this role, you will operate at the intersection of machine learning, computer graphics, and systems engineering to transform cutting‑edge research into scalable, production‑ready solutions. You will drive high‑impact initiatives from early exploration to productization, shaping both technical direction and user experience. This position offers the opportunity to work on complex, open‑ended problems and deliver innovations that directly impact millions of creative users worldwide.

What You’ll Do

• Lead the design and implementation of advanced generative AI solutions for vector graphics, image processing, and creative workflows.
• Translate ambiguous research ideas into well‑defined technical approaches and product opportunities.
• Architect and develop end‑to‑end systems spanning model training, optimization, and deployment in production environments.
• Build and optimize machine learning models using frameworks such as PyTorch or TensorFlow, ensuring high quality, efficiency, and scalability.
• Drive performance improvements for real‑time and interactive applications, including latency, memory, and compute optimization.
• Collaborate closely with product, design, and engineering teams to deliver impactful, user‑facing features.
• Define evaluation frameworks and metrics to measure model quality, system performance, and user experience.
• Mentor and guide other scientists and engineers, contributing to a culture of technical excellence and innovation.
• Stay current with advancements in generative AI, computer graphics, and human‑computer interaction, and apply them to solve real‑world problems.

What You’ll Need

• Master’s or PhD in Computer Science, Machine Learning, Computer Graphics, or a related field.
• Strong foundation in mathematics, including linear algebra, geometry, optimization, and numerical methods.
• Proven experience in machine learning, particularly in generative models, image processing, or graphics‑related domains.
• Strong programming skills in Python and/or C++, with experience building production‑quality systems.
• Experience with ML frameworks such as PyTorch or TensorFlow, including model development, evaluation, and deployment.
• Demonstrated ability to optimize algorithms and systems for performance, especially in real‑time or interactive environments.
• Experience shipping features or systems into production at scale.
• Strong problem‑solving skills and the ability to work effectively in ambiguous, fast‑paced environments.

Nice to Have

• Experience with generative AI techniques such as diffusion models, transformers, or multimodal systems.
• Background in computer graphics, computational geometry, or 3D modeling.
• Publications in top‑tier conferences such as SIGGRAPH, CVPR, or NeurIPS.
• Experience working on creative tools or user‑facing design applications.

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