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Senior Machine Learning Engineer builds and improves AI models for customer feedback analysis using LLMs, embeddings, and retrieval systems in a fast-paced SaaS environment.
Leads online reinforcement learning and post-training for GigaChat, designing experiments, optimizing pipelines, and scaling LLM improvements in a Moscow-based team.
ML engineer builds and runs online reinforcement learning pipelines for a Russian LLM, designing experiments, optimizing GPU throughput, and improving model quality from research to production.
Join Us! Amity, through its AI Research and Application Center, is advancing the frontier of applied AI research across natural language processing, large language models, agentic systems and generative AI. We build…
What you can expect Zoom's AI Incubation team seeks a Research Scientist to advance AI-driven innovation in healthcare. You will join a world-class group of PhDs and applied scientists working at the intersection…
Position Title: AI Architect (T & I) (Telework/Hybrid) Status of Employment: Permanent Position Language Requirement: English, French Language Skills: English (Reading - C - Advanced), English (Speaking - C -…
Design and deploy large-scale machine learning and AI agent systems to optimize Micron’s semiconductor manufacturing workflows using distributed GPU training and cloud platforms.
Design and deploy large-scale machine learning and AI agent systems to optimize Micron’s semiconductor manufacturing workflows using distributed GPU training, GenAI, and cloud technologies.
Designs and implements low-level system software to optimize AI workloads across thousands of GPUs, bridging AI frameworks and hardware in a hybrid Palo Alto or Charlottesville role.
Design and scale the distributed systems and GPU clusters that power large-scale AI model training, integrating with pipelines and optimizing reliability and efficiency.
Designs and optimizes AI infrastructure for JD.com’s cross-border e-commerce, focusing on GPU scheduling, high availability, and resource efficiency using Kubernetes, Ray, and CUDA.
Develops and deploys advanced speech and audio AI models, including Large Audio Language Models and Speech-to-Speech systems, using PyTorch and GPU clusters in Redmond, WA.
Builds and operates a scalable ML training platform for autonomous driving models using PyTorch, DeepSpeed, or JAX, enabling teams across Zoox to train, validate, and deploy AI systems.
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology…
We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal point for end-to-end performance, working directly with engineering teams of key CSP/hyperscale customers to ensure…
Builds and runs large-scale LLM training systems in production, focusing on reinforcement learning, reasoning, code generation, and synthetic data pipelines using PyTorch, CUDA, and DeepSpeed.
Lead a team to design, train, and deploy proprietary foundation models and generative recommendation systems for Grab's superapp, using distributed ML systems and transformer architectures at scale.
J oin Us! Amity, through its AI Research and Application Center, is advancing the frontier of applied AI research across natural language processing, large language models, agentic systems and generative AI. We build…
About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors…
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