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Build and improve Avito’s in-house large language models by designing experiments, training pipelines, and optimizing inference for production use.
Who we are looking for: As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for our next-generation hardware platforms. You will design, develop, and optimize…
Builds and optimizes large-scale AI infrastructure, including Kubernetes clusters, RDMA networking, and GPU orchestration to improve efficiency and scalability of AI training/inference systems.
Optimize and deploy large-scale on-prem LLM inference systems using NVIDIA H200 GPUs, vLLM, TensorRT-LLM, and OpenShift AI for enterprise private GenAI environments.
Engineer AI/LLM inference on GPU clusters: benchmark, tune, and optimize model serving with vLLM, Triton, or TensorRT-LLM to hit latency, throughput, and memory targets.
Leads ML/CV development for autonomous navigation and computer-vision systems in unmanned aerial vehicles, optimizing algorithms for embedded Linux and sensor fusion.
Machine Learning Engineer at Augur developing advanced computer vision capabilities including scene understanding, object detection, tracking, and 3D reconstruction from edge-deployed sensors. Will evaluate and integrate state-of-the-art research, build efficient inference pipelines, and deploy production-grade CV models using Python, PyTorch, and related technologies.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Designs and implements deep learning models for autonomous truck perception, planning, and control, using PyTorch/TensorFlow and state-of-the-art neural architectures.
Develops and deploys production AI systems for retail shelf intelligence, focusing on computer vision tasks like object detection, OCR, and product recognition to improve inventory accuracy and retail operations.
Our Culture and People: At Goddard, our most important asset is our people. We don't just work together; we thrive together. We foster a culture of collaboration, continuous learning, and mutual support. We believe…
推理服务部署与优化：负责大语言模型、多模态模型在生产环境中的推理部署与性能优化，基于 vLLM、SGLang、TensorRT-LLM 等主流推理框架，建设并优化推理服务能力； 推理链路性能调优：负责模型推理全链路优化，包括推理加速、批处理调度、KV Cache 优化等，持续提升吞吐、降低延迟、减少 GPU 资源成本；系统性降低硬件延迟瓶颈，保障高并发下线上服务稳定性；…
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Build and secure AI/ML systems for national defense, including LLM apps, predictive models, and adversarial defenses, using Python, TensorFlow/PyTorch, and edge deployment tooling.
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Lead product strategy for NVIDIA’s AI inference tools and SDKs, collaborating with developers to optimize GenAI deployments on GPUs.
Develops and deploys computer vision models and pipelines to analyze sports video data, using Python, PyTorch/TensorFlow, and cloud services to power analytics for elite athletes and teams.
Build backend, cloud and edge-to-AI infrastructure for a Berlin deep-tech startup that applies AI to textile manufacturing.
Janicki Industries is an innovative, family-owned aerospace company located at the foot of the Cascades. We focus on engineering and manufacturing complex projects for companies in the aerospace, defense, and space…
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