Transform the media landscape as a Machine Learning Engineer in our Vancouver-based startup. This hybrid role focuses on developing machine learning inference systems and technical cloud design. We are in search of a seasoned ML engineer with a minimum of three years of experience to advance our audio and streaming integrity technology. You will be instrumental in building and maintaining robust data platforms while working collaboratively in a supportive team setting. Key Responsibilities:
Execute machine learning engineering and infrastructure design
Construct ML model inference systems and data processing pipelines
Collaborate in designing cloud architecture across various platforms
Manage integrated software systems with Docker and Terraform
Engage in projects that prioritize speed and learning Requirements:
At least 3 years' experience in machine learning engineering
Deep understanding of cloud technologies and distributed systems
Proficient in Python, SQL, and related tools
Experience with GCP, AWS, and data transfer protocols
Nice-to-have: background in audio systems or GPU hardware Contribute your expertise and innovations to shape our startup's future in Vancouver!

📌 Experienced Machine Learning Engineer Wanted Vancouver
🏢 United States Digital Space
📍 Vancouver