Address
Form of workSummary
Apple's Synthetic Data Group is looking for someone passionate in the field of data generation for model training to help scale our next generation Synthetic Data workflows for machine learning and Synthetic Data engineers. The ideal candidate will thrive in a fast paced start-up style environment and be able to function well in a multi functional team addressing both immediate technical needs and providing long term solutions. The role will focus on data generation at scale using the latest research and proven industry techniques. Expert level experience working with and generating synthetic content within tradition CG frameworks or ML based generative models is key to be successful in this role. Knowledge of production in games, films or VFX, or a background and exposure to Machine Learning algorithms will help translate internal and external needs.
Key Qualifications
Hands on experience with development of tools and workflows in a production environment in films, games, or 3D simulations.
Production experience focused on large scale content generation in films, VFX, games or similar fields.
Excellent problem solver in your area of expertise.
Experience working with and implementing innovative solutions for 3D content generation or generative AI.
Strong passion in high quality 3D and synthetic content generation.
Familiarity with various 3D graphics algorithms, and data-structures.
Excellent debugging skills.
Description
Does PBR, Layers and Referencing, Proceduarlism, Domain Gap, Deep Learning, Generative AI or Domain Adaptation get you excited? If so we would love to talk to you. Help create and define the workflows and datasets used by Synthetic Data Engineers and Machine Learning Engineers as they help shape the growing field. We are looking for candidates with a passion for generating high quality synthetic images, by whatever means their expertise provides. The role will span problem spaces from procedural scene generation, scalable pipelines, content generation, modern generative AI, and many other workflows. You should be comfortable in a R&D environment with rapid changing goals and requirements.
Education & Experience
BS or MS in Computer Science and/or equivalent industry experience
Additional Requirements
Apple's Synthetic Data Group is looking for someone passionate in the field of data generation for model training to help scale our next generation Synthetic Data workflows for machine learning and Synthetic Data engineers. The ideal candidate will thrive in a fast paced start-up style environment and be able to function well in a multi functional team addressing both immediate technical needs and providing long term solutions. The role will focus on data generation at scale using the latest research and proven industry techniques. Expert level experience working with and generating synthetic content within tradition CG frameworks or ML based generative models is key to be successful in this role. Knowledge of production in games, films or VFX, or a background and exposure to Machine Learning algorithms will help translate internal and external needs.
Key Qualifications
Hands on experience with development of tools and workflows in a production environment in films, games, or 3D simulations.
Production experience focused on large scale content generation in films, VFX, games or similar fields.
Excellent problem solver in your area of expertise.
Experience working with and implementing innovative solutions for 3D content generation or generative AI.
Strong passion in high quality 3D and synthetic content generation.
Familiarity with various 3D graphics algorithms, and data-structures.
Excellent debugging skills.
Description
Does PBR, Layers and Referencing, Proceduarlism, Domain Gap, Deep Learning, Generative AI or Domain Adaptation get you excited? If so we would love to talk to you. Help create and define the workflows and datasets used by Synthetic Data Engineers and Machine Learning Engineers as they help shape the growing field. We are looking for candidates with a passion for generating high quality synthetic images, by whatever means their expertise provides. The role will span problem spaces from procedural scene generation, scalable pipelines, content generation, modern generative AI, and many other workflows. You should be comfortable in a R&D environment with rapid changing goals and requirements.
Education & Experience
BS or MS in Computer Science and/or equivalent industry experience
Additional Requirements
- Experience working with OpenUSD
- Experience with both realtime game engines and offline rendering solutions a plus
- Knowledge of generative ML models would be a big plus
- Ability to work with artists and engineers to assess technical requirements and designs
- Strong linear algebra and computer vision backgrounds a plus
- Knowledge of 3D DCC applications and content pipelines a plus
