Machine Learning Architect, Creativity Apps

Key Skills

Aartificial intelligence, Computer Vision (CV), Effective communication skills, Large Language Models - LLMs, Machine learning techniques

Job Description

Are you ready to be one of the founding members of a new engineering team focused on building state-of-the-art creative editing tools? You will take ownership around identifying the technical direction and innovation in key product areas. You will be responsible for identifying our technical investments to power the next-generation tools for creators. This is a highly collaborative role with the opportunity to evolve in many directions.

Key Qualifications

• Experience in identifying and delivering state-of-the-art solutions for creatives
• Ability to inspire and align efforts across the company towards delivering on creative needs
• Recognized innovator in the creative space
• Extensive knowledge in machine learning and deep learning techniques
• Experience delivering products in Computer Vision, Computational Photography, multimodal-LLMs/Foundation models, Generative AI, Machine Learning (ML), or related areas
• Experience in building end-to-end ML pipelines from data ingestion to feature engineering to model training to deploying and scaling the model in production
• Experience in model training, model optimization, ML system architecture design, and scalable ML model deployment
• Experience delivering high quality software at scale
• Experience as a technical lead; demonstrating strong communication, collaboration, and project management skills
• Willing to take responsibility and ownership of features and drive key architectural decisions
• Committed to encouraging an open and inclusive work environment
• Ability to communicate effectively, collaborate, and build long-term relationships across the organization
• Ability and desire to mentor others in achieving engineering excellence and to be a catalyst on the team.

Education & Experience

PhD in computer vision, machine learning, computational photography or related areas; alternatively a comparable industry career, with significant experiences on delivering products using state-of-the-art computer vision and machine learning technologies.