iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.
We are currently seeking an ambitious pace-setter to join our team as a Video AI Engineer.
ROLE COMMITMENTS
- Optimize the enterprise: Automate and optimize workflows using generative AI technology to streamline video production processes.
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Deliver high-quality consumer experiences: Create compelling, personalized, and high-quality video content that enhances user engagement.
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Build the most compelling connected health & fitness platform: Leverage cutting-edge generative AI to pioneer innovative features that redefine connected fitness experiences.
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Build the value of our brand portfolio: Ensure consistent and cohesive brand identity across AI-generated video content.
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Make people, culture, and how we operate a competitive advantage: Collaborate cross-functionally to foster innovation, agility, and continuous learning within the team.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Develop and maintain generative AI-powered video applications.
- Automate complex video generation workflows including image manipulation, video generation, audio extraction, voice cloning, and lip-syncing.
- Collaborate with product, engineering, design, and content teams to conceptualize, develop, and deploy AI-enhanced video features.
- Research and integrate state-of-the-art AI models such as diffusion models, GANs, and neural rendering.
- Optimize video generation processes for quality, consistency, performance, and scalability.
- Prototype new technologies and guide strategic development through proofs of concept.
Education and Basic Qualifications
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related technical field.
- Minimum of 4 years of professional experience in generative AI, computer vision, or video processing.
- Strong proficiency in at least one programming language, and familiarity with tools like PyTorch, TensorFlow, or similar generative AI frameworks.
- Authorized to work in the United States without sponsorship.
- Experience using GitHub to manage and share code repositories created using git.
Preferred Qualifications
- Experience with automated video and audio content generation workflows.
- Familiarity with cloud-based AI and video services (AWS, GCP, Azure).
- Platform Engineering background, with experience operating production-scale systems.
- Proven track record of publications, open-source contributions, or notable projects in generative video AI.
- Excellent communication and collaboration skills.