…and deep learning frameworks (like PyTorch or JAX). ML & LLM Expertise: Hands-on experience training, fine-tuning, and evaluating LLMs, Generative AI, or multimodal…

…Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning platform that powers Anduril’s autonomous systems. As a…

…technical ML and engineering concepts to both engineering and non-technical audiences - Deep, hands-on machine learning expertise, particularly LLM development - Demonstrated experience running…

…for machine learning and data-intensive applications Experience building product surfaces on top of LLMs and agentic systems (embeddings, agent orchestration, evaluation) Experience with…

…integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement…

…evaluation metrics and strategy iterations for machine learning or AI-based systems. Hands-on experience with Large Language Models (LLMs), including prompt engineering, policy…

…research insights into production-ready AI systems, helping to validate protection concepts, from prompt engineering to model evaluation, and ship them at a global…

…Information Systems, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience building data and AI systems in production…

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

…idea of AI-native software engineering: systems where agents can work with code, data, experiments, and evaluations to accelerate how machine learning gets done…

…and machine learning.) In-depth knowledge of the financial services industry and their IT system. Demonstrated experience leading effective use of approved AI-assisted…

…systems. Hands-on experience developing or integrating AI/ML solutions in production (model integration, orchestration, evaluation, or ML-powered features). Familiarity with LLMs, Retrieval…

…You will leverage your expertise in exploratory analytics, machine learning, and Generative AI/Agentic AI solutions, exclusively utilising JPMorganChase-approved platforms, tools, and governance…

…systems that solve meaningful business problems at scale. Join a collaborative team where you will deepen your expertise in modern machine learning, software engineering…

…statistics-based evaluation methodologies or user success metrics. Expertise in generative AI technology, large language models (LLMs). Experience with systems engineering; in-depth understanding…

…machine learning and AI, with 5+ years in senior technical leadership roles overseeing applied AI or ML engineering organizations that have shipped generative AI…

…applications Experience building evaluation and observability systems that keep AI reliable in production Background in data engineering, applied machine learning, or building and maintaining…

…As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing…

…integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement…

…We are the Machine Learning Data Ops Team, part of the Intelligent System Experience (ISE) group within Apple's software engineering organization. We build…

…of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps. - 6+ years of design/implementation of production AI systems - 5…

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

…with or evaluating AI systems - Ph.D. in a quantitative field (Statistics, Machine Learning, Economics, Operations Research) - Experience with NLP/LLM applications (text classification…

…machine learning models or developing algorithms for business application - Experience with or exposure to generative AI, large language models (LLMs), or agentic AI systems…

…machine learning - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems…