adaption
adaption
adaption ऐसे अनुकूलनशील AI सिस्टम और टूल विकसित करती है, जिन्हें अलग-अलग उपयोगकर्ताओं, भाषाओं, उद्योगों और विशेष परिस्थितियों के अनुरूप बुद्धिमत्ता ढालने के लिए बनाया गया है। इसका काम Adaptive Data, Adaptive Intelligence और Adaptive Interfaces तक फैला है—ये ऐसे दृष्टिकोण हैं जो मॉडलों को लगातार समायोजित होने में मदद करते हैं और मैन्युअल प्रॉम्प्टिंग या किसी एक विशाल मॉडल पर अत्यधिक निर्भर हुए बिना अधिक प्रतिक्रियाशील उपयोगकर्ता अनुभव प्रदान करते हैं। कंपनी की तकनीक परामर्श, लॉजिस्टिक्स और मार्केटिंग जैसे क्षेत्रों में व्यावहारिक AI अनुप्रयोगों की खोज करने वाले संगठनों के लिए उपयोगी है।

Inference Engineer — Adaption (Hybrid, Bay Area)

Optimize inference infrastructure for throughput, cost, and latency at Adaption, an AI company developing adaptive intelligence systems. Improve model serving across GPUs, inference engines, and production workloads.

विवरण

  • Lead ownership of inference-stack cost and performance.
  • Increase throughput and reduce cost and tail latency through KV-cache management, continuous batching, speculative decoding, and quantization.
  • Optimize long-context prefill and decode workloads against real production traffic.
  • Adjust routing between internal infrastructure and external providers according to cost, capacity, and performance.
  • Use serving engines including vLLM, SGLang, and TensorRT-LLM, working beneath the framework when necessary.
  • Develop profiling and measurement systems to locate time, memory, and compute usage.
  • Partner closely with engineers responsible for the serving fleet.

आवश्यकताएँ

  • Bring at least five years of experience in ML systems, inference infrastructure, or performance engineering, with measurable gains in cost or latency.
  • Demonstrate deep knowledge of model serving, including prefill and decode, memory bandwidth, batching, and concurrency.
  • Have production experience with serving engines such as vLLM, SGLang, or TensorRT-LLM.
  • Use Python confidently and be proficient in C++, Rust, or another systems programming language.
  • Understand GPU performance topics including CUDA, NCCL, mixed precision, memory layout, kernels, or quantization.
  • Be able to work in person in the Bay Area within a hybrid setup.

लाभ

  • Combine in-person Bay Area collaboration with a distributed, global-first team and team offsites.
  • Receive an annual Adaption Passport travel stipend for exploring a country you have not previously visited.
  • Get a weekly allowance for takeout meals or grocery delivery.
  • Access comprehensive medical coverage and generous paid time off.

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