Lead AI Inference Engineer

hace 3 días

Buenos Aires, Argentina Pavago A tiempo completo

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting‑edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve‑backed tokens across blockchains, enabling instant, secure, and globally accessible digital transactions at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Lead AI Inference Engineer Tether Operations Limited About the job This role is ideal for someone who understands both the low‑level challenges of edge AI and the product‑facing needs of app developers, and wants to drive the delivery of cohesive, production‑ready local AI systems. Responsibilities Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx. Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments. Integrate AI features into existing products, enriching them with the latest advancements in machine learning. Manage a cross‑functional pod composed of middleware (JS), foundation (C++), QA, and documentation engineers to produce high‑quality deliverables. Regularly assess, both qualitatively and quantitatively, the company’s position in the market with regards to similar products or platforms. Leverage the expertise of technical architects to ensure robust architectural choices and code quality. Ensure stable releases by following precise internal release processes. Qualifications Excellent programming skills in C++. Strong experience with Llama.cpp and ggml inference engines, facilitating the deployment of models to specific GPU architectures. Good understanding of deep learning concepts and model architectures. Experience with transformers and LLMs. Demonstrated ability to rapidly assimilate new technologies and techniques. Experience managing a small, specialized, cross‑functional team (pod) of 3‑5 people. Passion for building good products that improve people’s lives. A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D. Experience with AWS, containerization platforms, orchestration, and automated testing suites (Maestro, Appium). Understanding of the difficulties, nuances, and importance of p2p technology. Experience with MLC, TVM, or similar frameworks. Experience with Vulkan and CUDA. Experience productionizing models. Important information for candidates Apply only through our official channels. We do not use third‑party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page. Verify recruiters’ identities via verified LinkedIn profiles. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. All communication from us will come from emails ending in @tether.to or @tether.io. We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. #J-18808-Ljbffr

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