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Build and optimize distributed AI serving infrastructure for Google Distributed Cloud, focusing on LLM inference, model life-cycle management, and load balancing across hybrid environments.
Principal Data Scientist at Xsolla to architect ML solutions, lead fraud/anomaly detection models, and mentor teams in the video game industry.
Intern designs and implements computer-vision models for embedded systems, optimizing object detection and AI inference on edge devices like NVIDIA Jetson.
Build and optimize large language models for insurance workflows, focusing on post-training, evaluation, and inference performance to improve underwriting and claims processing.
Build and deploy AI agents for fintech workflows (risk, fraud, payments) and the platform that powers them, including orchestration, tooling, and safety guardrails.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
About the Role Sanas is bringing real-time speech and language models on-premise — deployed at scale directly inside sovereign data centers, not served from behind a hosted cloud endpoint. It's one of the most…
Senior Computer Vision Engineer builds 3D vision and deep-learning models for real-time sports analytics, optimizing AI pipelines for edge devices to help athletes improve performance.
Lead embedded AI development for automotive ADAS/AD systems, optimizing deep-learning models for real-time deployment on AI SoCs and DSPs.
Design and operate high-performance AI inference platforms, focusing on systems engineering for model serving, routing, caching, and autoscaling in production.
Build and own the AI platform powering legal AI agents and accelerators, including retrieval, orchestration, evaluation, and observability for large-scale document processing in a regulated environment.
Build and deploy enterprise-grade generative and agentic AI solutions end-to-end, from RAG pipelines and LLM orchestration to production monitoring and cost control, in a regulated healthcare setting.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Research and optimize deep learning models for edge AI platforms using quantization, model compression, and efficient inference techniques in PyTorch and ONNX Runtime.
Design and deploy deep-learning perception models for automotive ADAS systems, optimizing neural networks for embedded hardware and real-time performance.
Lead the perception team at a cutting-edge robotics startup, defining the 3D vision stack for autonomous factories that build aerospace and defense systems. Work with LiDAR, depth cameras, and sensor fusion to enable robots to sense, understand, and act in real time.
Optimize Google’s TPU fleet for ML training and serving, benchmarking performance, and improving compiler/runtime efficiency to scale large models like Gemini.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Build and scale enterprise-grade ML and GenAI platforms, hardening research code into production services, and enabling hundreds of practitioners to deploy and monitor models securely and cost-effectively.
Build and optimize distributed AI training and inference pipelines for gaming using PyTorch, DeepSpeed, and Kubernetes to support large language models and reinforcement learning workloads.
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