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.

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.

Applied Scientist

Key skills