Research Assistant contributing to the Discovering Liveability project for suicide prevention. Focused on innovative research centering lived experiences of suicide over a fixed - term of 5 years.
About the role
- Applied Scientist leading the development of generative AI for Adobe Creative Cloud. Focusing on graphics and vector-based design workflows with advanced machine learning techniques.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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