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We’re hiring a Platform Software Engineer to help build the execution layer behind OCI’s AI and GPU growth motion. You’ll work across Oracle data platforms, GPU scheduling, orchestration pipelines, and MLOps agentic…
Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance,…
Lead ML architecture and production systems for a global game-commerce platform, building fraud/anomaly detection, recommendations, and LTV models at scale across billions of transactions.
Build and deploy production-grade ML systems (NLP, LLM, classification) to automate healthcare workflows and improve operational efficiency for hospital systems and payors.
Build and deploy efficient, low-latency AI systems for Japanese enterprise customers, optimizing models from discovery through production across consumer electronics, automotive, life sciences, and financial services.
Principal ML Engineer New York, NY (Hybrid) About the Company We're building AI-native enforcement infrastructure for enterprise communication — technology that catches and fixes compliance issues in real time,…
Build and deploy production-grade LLM/NLP systems for financial services, fine-tuning models, optimizing pipelines, and ensuring low-latency, high-availability AI workflows in regulated environments.
Deploys, manages, and optimizes large language models in production, focusing on inference engines, vector databases, and cost-efficient infrastructure for AI workloads.
ML/LLM engineer building AI agents and large language models for medtech products, automating medical workflows and assisting doctors and patients.
Engineer deep-learning inference engines for GigaChat, optimizing CUDA kernels and GPU clusters to deliver sub-second LLM responses at massive scale.
Design and run AI hardware benchmarks for GPUs, TPUs and custom silicon, analyze throughput, latency and cost-per-token, and work with leading chipmakers to set industry standards.
Benchmark and analyze AI model inference performance across providers, extending methodologies for speed, cost, and accuracy while shaping industry standards.
Design and run AI hardware benchmarks (GPUs, TPUs, custom silicon), analyze inference economics, and partner with chipmakers to set industry standards for performance and cost-per-token.
Build and scale Snowflake’s Cortex LLM post-training platform, designing distributed GPU scheduling, APIs, and fault-tolerant ML infrastructure to let customers fine-tune open models at enterprise scale.
Designs and builds an enterprise-scale Agentic AI platform that lets engineering teams create, deploy, and run secure, governed AI agents using cloud-native tools and AI frameworks.
Designs and deploys private AI systems for document intelligence and legal automation using LLMs, RAG, and GPU infrastructure in a law firm setting.
Develops topology-aware collective algorithms and transport layers for AI hardware, optimizing multi-node performance and co-designing with hardware teams.
Build secure, AI-powered web apps for a defense contractor, integrating LLMs and RAG pipelines with Python backend, React/Vue frontend, and vector databases in a classified environment.
Build and deploy AI/ML systems that personalize Yahoo Mail for 220M+ users, using NLP, GenAI, and agentic workflows while optimizing for scale and latency.
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