…Key job responsibilities - Use machine learning, deep learning, LLMs and Agentic AI techniques to create scalable solutions for business problems - Analyze and extract relevant…

…customization, explainability, and evaluation. How You’ll Find Success Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing…

…easily interpretable by machine learning models. First-Principles Problem Solving: Navigate highly ambiguous product requirements to design custom, ground-up systems where existing open…

…Expand your expertise in machine learning and software engineering by working on cutting-edge technologies and large-scale systems. Take on mentorship roles and…

…The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and…

…machine learning, AI research, or large-scale distributed systems. Experience scaling and mentoring high-performing research and engineering teams. - Deep understanding of modern machine…

…large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps…

…machine learning - Experience in building large language models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e…

…Enablement & Community - Coach and enable customer engineering teams on practical AI adoption — from prompt engineering to production MLOps and Agentic orchestration. - Contribute patterns, learnings…

…MS or Ph.D degree or equivalent experience in Computer Science, Machine Learning, Clinical Informatics, Computational Medicine, Data Science, Electrical Engineering, Applied Math, or…

…the development of AI-powered detection systems, including LLM-based decision engines, scoring models, and review workflows - Establish rigorous evaluation frameworks to measure detection…

…We are a Machine Learning/Data heavy team with a focus on the following areas: Multimodal & Content Embeddings - Make sense of organic (posts, comments…

…knowledge of adjacent systems (Real-Time CDP, Common Room, Gong, 6sense, Demandbase, Adobe Target) Experience building AI-powered products with LLMs, agents, RAG, and…

…years in LLMs, model fine tuning and prompt engineering - 3+ years in digital advertising technology. - Demonstrated track record of innovative AI solution development - Experience…

…Strong software engineering fundamentals; comfortable in Python and Bash, comfortable reading and refactoring large internal codebases. 5+ years experience in Machine Learning Operations. Production…

…in Computer Science, Electrical Engineering, Machine Learning, or similar technical field. Experience architecting or leading development of full-duplex natural conversational systems, speech-to…

…Speech LLMs or other Multimodal LLMs Experience with building & deploying AI agents and LLMs Experience with large scale machine learning training/evaluation Data-centric…

…other related disclipline Experience with conversational AI or multimodal LLM Experience with large scale machine learning training/evaluation Data-centric vision about foundation model

…Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About The Team The Experimentation & Machine Learning…

…in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks Experience building Agentic AI systems — including multi…

…A day in the life A typical day as a Machine Learning Engineer involves architecting and building robust AI/ML infrastructure and intelligent systems…

…for Generative AI at DoorDash, with a primary focus on our evals and LLM observability platform: the systems that let teams evaluate, trace, and…

…Staff Machine Learning Engineer on Notifications Relevance , you'll serve as a technical leader for one of Reddit's highest-leverage ML systems, helping…

…production-grade systems - Strong command of Python and PyTorch (or JAX), with the engineering depth to build and scale training pipelines, evaluation infrastructure, and…

…evaluation frameworks for AI systems, particularly in complex testing environments. - Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering…