Applied Research Engineer

About The Company

We are an AI research and technology company advancing video intelligence and multimodal data understanding. Our mission is to develop advanced datasets, infrastructure, and machine learning solutions that drive the next generation of AI-powered applications in media, communications, gaming, immersive technologies, and robotics.

Our team combines large-scale data processing, computer vision, audio intelligence, and machine learning research to address complex challenges in understanding and analyzing video content.

We are seeking an Applied Research Engineer to develop high-performance systems and scalable pipelines for video understanding and multimodal AI applications. This role focuses on solving complex research and engineering problems, designing efficient workflows, and building production-ready solutions for large-scale datasets. You will work across computer vision, audio processing, and natural language processing, leveraging modern machine learning models and infrastructure to deliver accurate results.

The ideal candidate thrives in ambiguous problem spaces and develops creative, practical solutions through experimentation, optimization, and engineering excellence.

• Design and build scalable machine-learning pipelines to process and analyze video content.
• Develop and optimize workflows for computer vision, audio analysis, and text processing.
• Enhance model performance through preprocessing, post-processing, inference optimization, and system-level improvements.
• Collaborate with stakeholders to understand requirements and translate them into technical solutions.
• Build and maintain clean, reliable, production-ready code.
• Contribute to end-to-end product development, including research, prototyping, deployment, and optimization.
• Analyze complex problems and identify the technical components needed to achieve business and customer goals.

• 2+ years of experience in computer vision, audio processing, machine learning, or a related field.
• Strong proficiency in Python and hands‑on experience with PyTorch or similar machine learning frameworks.
• Experience with machine learning models, APIs, and large-scale data processing systems.
• Strong communication and collaboration skills.
• Demonstrated ability to write clean, maintainable, and scalable code.
• Passion for video technologies, AI, and emerging media applications.
• Product-oriented mindset with an interest in building complete solutions, not just focusing on model training.
• Ability to break down complex business challenges into practical technical solutions.

• Contributions to open-source projects.
• Experience working in a startup or fast-paced, high-growth environment.
• Experience optimizing model inference, distributed systems, or large-scale machine learning workflows.
• Portfolio, Git Hub repository, or examples of relevant technical projects.