✨ The Role in One Sentence

SEMRON is seeking an ML Engineer to focus on geo-distributed QAT and optimize training workflows.

📋 What You'll Likely Do

• 40%: Build a geo-distributed QAT framework to support large-scale training.

• 30%: Enable the ML community to deploy models easily on SEMRON’s hardware.

• 30%: Optimize training workflows for heterogeneous environments.

🧑‍💻 Profiles Doing This Job

• High Priority: Solid skills in PyTorch.

• High Priority: Understanding of quantization research.

• High Priority: Hands-on experience with performance techniques.

📈 How This Role Will Look on Your CV

• Built and optimized geo-distributed QAT frameworks for large-scale ML training.