Tech Lead, Video Engineering

3 weeks ago

Old Toronto, Ontario, Canada Monsters Aliens Robots Zombies Full time
About the Role

We are seeking an experienced Tech Lead to join our team at Monsters Aliens Robots Zombies and lead the development of our video engineering pipeline. As a key member of our team, you will be responsible for architecting and implementing new features that drive high impact for our users.

Key Responsibilities
  • Design and implement high-efficiency video data streaming solutions to reduce latency for real-time processing.
  • Optimize I/O processes for various video file formats to ensure seamless integration into our AI systems.
  • Reduce the cost of processing data, training our AI models, and generating results.
  • Performance tune the ML pipeline and ML backend (Python) to ensure optimal performance.
  • Collaborate with cross-functional teams to integrate new video technologies and formats into our platform.
  • Formulate best practices for the team and maintain a high standard for code quality.
  • Design and implement testing frameworks to ensure the highest quality of video streaming capabilities.
  • Stay ahead of industry trends in video compression and streaming technologies to continuously improve our solutions.
  • Troubleshoot and resolve complex issues, enhancing system reliability and performance.
Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
  • Depth of experience in the Python programming language.
  • Proven track record of optimizing performance for cost and speed.
  • Experience delivering user-facing features in Python.
  • Excellent communication and teamwork skills, with a proven ability to work effectively in a fast-paced, innovative environment.
  • Experience in architecting and developing cloud-native solutions on AWS.
Nice to Have
  • Extensive experience with video file formats, codecs, and transcoding.
  • Proficiency in ffmpeg for multimedia processing and streaming.
  • Experience with PyTorch for machine learning applications.
  • Solid understanding of real-time streaming protocols (e.g., RTMP, WebRTC) and experience in integrating them into applications.
  • Familiarity with cloud platforms (AWS, GCP) for deploying multimedia applications.
  • Strong understanding of network architectures and protocols relevant to streaming and real-time data transmission.
  • Innovative problem-solving skills with a focus on performance optimization and scalability.
  • Understanding of ML concepts related to computer vision and/or how to develop pipelines for such applications.

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