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Build and maintain scalable ML systems for reinforcement learning, inference, and evaluation that power AI-driven engineering workflows, integrating with compilers, profilers, and simulators.
Senior Deep Learning Scientist, Multimodal Agentic RL Location: US, CA, Santa Clara, US, CA, Remote Time Type: Full time Job Description NVIDIA is widely regarded as one of the technology industry’s most desirable…
Build and maintain scalable backend APIs and AI/ML integrations for a business identity platform, focusing on KYC/KYB, knowledge graphs, and LLM-powered risk solutions.
Build, fine-tune, and deploy AI models for enterprise customers, bridging research and production while collaborating with sales and engineering teams.
ML Engineer role focusing on Online RL and Post-Training LLM, responsible for developing methods, conducting experiments, and improving model quality at Сбер in Moscow.
Designs and builds AI-driven cybersecurity systems that autonomously detect threats, analyze vulnerabilities, and automate security workflows using LLMs, agent architectures, and cloud-native tools.
Design and deploy production-grade agentic AI systems using frameworks like CrewAI/LangGraph, integrating LLMs, RAG, and vector databases on cloud platforms.
Build and scale MLOps infrastructure and deploy production-ready generative AI systems for a healthcare provider, focusing on LLMs, RAG pipelines, and secure AI operations.
Machine Learning Engineer II - AI Location: Amsterdam Department: Development This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and…
Applied AI/ML Engineer Department: Engineering Location: New York City Compensation: $200K – $300K • Offers Equity Employment Type: FullTime Your Role As a founding AI Engineer at Overtone, you will build and own the…
Leads the design and scaling of next-gen AI systems for Coupang's ad platform, including multi-agent orchestration, reinforcement learning, and LLM optimization, while aligning global teams in Korean and English.
Senior ML engineer builds and owns production-grade agent systems for AI-driven business decision tools, focusing on planning, tool use, evaluation, and post-training improvements.
Review and improve AI-generated frontend code, write clean UI solutions, and explain technical decisions; core tech is JavaScript, HTML, CSS, and modern frameworks like React or Vue.
Build and maintain scalable backend services for a business identity platform, integrating APIs, AI/ML models, and compliance systems to automate KYB and risk monitoring.
Design and build enterprise-grade AI/ML systems, including agentic workflows, LLM applications, and MLOps tooling, using Python/Go/Java and cloud-native stacks in a financial-services environment.
Lead the design, development, and scaling of enterprise-grade AI systems including agentic AI, LLMs, and MLOps pipelines for a global bank, using Python/Go/Java and cloud-native tools.
Build and own AI systems for a dating service, including LLM prompting, evaluation, and production inference, using Python and related tools.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Senior AI/ML engineer builds and ships LLM-powered health features like recommendations and conversational insights using Python, Databricks, AWS, and Terraform in a hybrid London office.
ML/LLM engineer building AI agents and large language models for medtech products, automating medical workflows and assisting doctors and patients.
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