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Build and own a recommendation engine for an in-game commerce platform, using collaborative filtering and embeddings to surface rewards to players based on sparse, noisy event data.
Buscamos incorporar un/a Senior Backend Developer Java con sólida experiencia en arquitecturas de microservicios para participar en un proyecto tecnológico dentro del sector seguros. Trabajarás principalmente con Java…
About Nurix AI At Nurix AI, we are pioneering the Autopilot Enterprise. Our conversational AI agents handle workflows, drive outcomes, and deliver measurable impact for businesses. Born from the belief that enterprises…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Designs and advises on scalable AI cloud solutions for enterprise customers, focusing on distributed training and inference pipelines using PyTorch, JAX and Kubernetes.
Build and optimize GPU infrastructure for AI workloads, profiling performance across hardware and frameworks to guide platform decisions and hardware development.
Senior ML Engineer at Nebius to conduct applied AI research on reinforcement learning, agentic systems, and model training, using JAX and Python in a cloud infrastructure company.
Senior ML Engineer at Nebius building and optimizing large-scale AI inference and fine-tuning platforms for foundation models using JAX and modern hardware.
Build and train vision-language-action models and reinforcement-learning policies for real-world robots, using JAX and distributed training to prototype sim-to-real transfer and dexterous manipulation.
Embed with government agencies to deploy and fine-tune the Matilda AI stack on-premises, solving complex data problems in secure, air-gapped environments using Python and modern ML frameworks.
Softwareentwickler:in (m/w/d) Du brennst für die IT und hast bereits 2 bis 4 Jahre Berufserfahrung in der Softwareentwicklung gesammelt? Dann bist Du bei uns genau richtig! Steige ein in die Welt des…
About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe,…
This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of…
Would you like to join a team curious about understanding how foundation models work and to expand their capabilities in scientific domains? We perform and publish novel research and apply our findings to drive product…
Leads the strategy and execution for AI training infrastructure products at the intersection of experiment tracking and cluster telemetry, building tools that connect developer workflows with high-performance compute orchestration for frontier model teams.
Write, profile, and optimize CUDA kernels for LLM inference to maximize throughput and minimize latency on NVIDIA GPUs, using DSLs like Triton or Mojo and benchmarking with MLPerf.
Research and build continuous learning systems for self-improving AI agents on the OpenPipe team. You'll investigate RLHF, reward modeling, and on-policy distillation to solve production bottlenecks in agent training. Core stack uses PyTorch/JAX for model training with Kubernetes and Megatron for distributed GPU infrastructure.
This role involves optimizing large-scale foundation model training on TPU infrastructure by profiling and improving JAX/XLA workloads and developing high-performance kernels. The engineer will lead technical projects and collaborate across teams to enhance training efficiency, scalability, and throughput.
Build and maintain the machine-learning infrastructure that trains and deploys AI models for medical imaging, including distributed training, data pipelines, and production serving.
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