Optimize machine learning inference with GPU performance tuning while working remotely from Canada or the UK in a full-time position. Build dependable serving systems for high request volumes.

Raydar recruits for its software company client, seeking a senior engineer to move trained models from research into production. The work combines server-side software, inference optimization frameworks, systems programming, and distributed serving. You will improve model performance and operate services across GPUs and nodes.

Key Responsibilities:

Optimize model serving latency and throughput

Containerize models for secure production deployment

Profile and tune GPU-based code

Design distributed serving across GPUs and nodes

Apply quantization, batching, and caching methods

Requirements:

Senior-level software or inference engineering experience

Production experience with server-side or learning-based software

Machine learning inference optimization framework experience

C++, CUDA, Rust, or optimized Python proficiency

Distributed systems and container orchestration familiarity

Use inference optimization, GPU programming, and distributed systems expertise to deliver reliable machine learning production serving.

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📌 Senior Remote Machine Learning Engineer (Toronto)
🏢 Raydar
📍 Toronto