Hybrid Generative AI Engineer for Guest Experiences

Motion Recruitment; Los Angeles (CA); Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

Medical Insurance

Health Savings Account

Flexible Spending Accounts

Life Insurance

Short‑Term Disability Insurance

Legal and Identity Protection Plans

529 College Saver Plan

Job summary

A leading entertainment technology firm is seeking a Machine Learning Engineer to join their AI Engineering team in California. This role involves designing generative AI systems that enhance guest experiences and iconic content. Emphasizing collaboration, the position offers a hybrid working environment, including full-time hours and benefits. Ideal candidates possess a Bachelor's in Machine Learning or Computer Science and experience in cloud platforms, AI frameworks, and container orchestration. Competitive compensation and potential for long-term employment are provided.

Qualifications

• Bachelor’s degree in Machine Learning, Computer Science, or a related discipline required.
• Professional experience developing and scaling industry ML solutions.
• Knowledge of AI‑powered image recognition with an emphasis on CNN translation.

Responsibilities

• Design and implement advanced generative AI systems for multimedia applications.
• Collaborate with cross‑functional teams to deliver production‑ready AI infrastructure.
• Develop automated model evaluation frameworks and scalable model serving solutions.

Skills

Advanced generative AI frameworks

Cloud platforms (GCP, Azure, AWS)

Container orchestration (Kubernetes, Docker)

Professional experience in media analysis

Knowledge of AI-powered image recognition

Education

Bachelor’s degree in Machine Learning or Computer Science

Tools

PyTorch

TensorFlow

MLflow

Job description

A leading entertainment technology firm is seeking a Machine Learning Engineer to join their AI Engineering team in California. This role involves designing generative AI systems that enhance guest experiences and iconic content. Emphasizing collaboration, the position offers a hybrid working environment, including full-time hours and benefits. Ideal candidates possess a Bachelor's in Machine Learning or Computer Science and experience in cloud platforms, AI frameworks, and container orchestration. Competitive compensation and potential for long-term employment are provided.