inferact - Member of Technical Staff, Inference
Requirements
• Bachelor's degree or equivalent experience in computer science, engineering, or similar. • Deep understanding of transformer architectures and their variants. • Strong programming skills in Python with experience in PyTorch internals. • Experience with LLM inference systems (vLLM, TensorRT-LLM, SGLang, TGI). • Ability to read and implement model architectures and inference techniques from research papers. • Demonstrate the ability to contribute performant and maintainable code and debug in complex ML codebases. • Deep understanding of KV-cache memory management, prefix caching, and hybrid model serving. • Familiarity with RL frameworks and algorithms for LLMs. • Experience with multimodal inference (audio/image/video/text). • Contributions to open-source ML or system infrastructure projects. • Implemented core features in vLLM or other inference engine projects. • Contributed to vLLM integrations (verl, OpenRLHF, Unsloth, LlamaFactory, etc). • Written widely-shared technical blogs or side projects on vLLM or LLM inference. • Location: This role is based in Singapore. • Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is S$200,000 to S$400,000 annually + equity. • Visa sponsorship: We sponsor visas on a case-by-case basis. • Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage.
Benefits
• SGD 200K – SGD 400K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • (City, State, Country) • or drag and drop here • Please share a link to a personal project, open-source contribution, or technical blog post that you're most proud of or find most relevant to this role. • Your answer won't affect your candidacy. • If you require visa sponsorship, please share any relevant information on your current visa status and any potential timing considerations. • Work, open source, and side projects all count. We care more about what you decided to do on your own judgment than about how large the project was.
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