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Artificial Intelligence and Digital Research Centre Responsibilities · Build products and MVPs on top of the models. · Fine-tune the models for domain-specific use cases. · Design evaluation pipelines and benchmarks…
Position Overview We are seeking a highly skilled Senior AI Engineer with deep expertise in Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic model architectures. The ideal candidate will have a…
Position Overview We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic model architectures. The ideal candidate will have a strong…
ABOUT CFM Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients. We…
Design, build, and evaluate ML systems for AI safety and model evaluation applications, including reinforcement learning, LLMs, and multimodal systems, using Python and frameworks like PyTorch or JAX.
The AI Engineer will design, develop, and deploy generative AI and machine learning solutions using LLMs, prompt engineering, and MLOps. The role involves integrating Azure and Snowflake technologies to build scalable AI applications.
We are seeking a Senior Prompt Designer II to define the overarching prompt architecture strategy, roadmaps, and governance frameworks powering BOLD's consumer-facing career tools. This is a senior leadership…
Мы разрабатываем AI-приложение, которое решает задачи пользователя с помощью агентов разного профиля. Ищем ML-инженера, который будет развивать компоненты агентов и собирать новых: инструменты, поиск по базе знаний,…
This role involves architecting and building autonomous AI agents and RAG pipelines to automate enterprise workflows for non-technical users. The engineer will work on the full stack of LLM orchestration, tool-use, and production deployment using technologies like Python, Spark, and various vector databases.
eigenblue – We're building the future of engineering. A future where engineers build intelligent systems that solve complex problems, and work alongside those systems to bring their solutions into the real world.…
The Machine Learning Engineer will design, train, and deploy reinforcement learning systems for complex decision-making problems. The role requires expertise in Python, deep learning frameworks, and reward modeling to move RL solutions from research into production environments.
Research and develop post-training methods (RLHF, SFT, PEFT, reward-based optimization) for Enchant, Iambic's large multimodal transformer model used in drug discovery, using Python and PyTorch at scale.
Research and develop post-training methods for a large multimodal transformer model (Enchant) in drug discovery, focusing on fine-tuning, reinforcement learning, and evaluation frameworks to advance AI-driven therapeutic development.
ML Engineer fine-tuning open-source LLMs and building AI agents for Lyft's Safety and Customer Care team using PyTorch, LangGraph, and post-training methods like SFT, LoRA, and RLHF.
Design and ship AI-powered tools, autonomous agents, and LLM-driven features for ICON's construction technology platform, building agentic AI systems using TypeScript/Python, RAG pipelines, and multi-agent frameworks.
Build and deploy AI agents and LLM-powered tools to automate workflows for ICON's construction technology platform, using Python/TypeScript and modern AI frameworks.
This role involves building an agent evaluation platform to measure and improve AI agent performance through calibrated judges and reward models. You will design rubrics, calibrate against human labels, and develop methodologies to train agents using LLM-based evaluation.
Strategic Account Executive, AI Team: Strategic Accounts Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that is reshaping the landscape of AI development. In…
The Staff Software Engineer will build and maintain the full-stack data platforms used to collect and process human feedback for training Claude. This role involves designing web interfaces for annotators and developing the backend pipelines that deliver high-quality data to RL researchers.
This role involves building and maintaining the full-stack data platforms and interfaces used to collect human feedback for training Claude. You will work closely with RL researchers to design reliable pipelines and tools that turn human feedback into high-quality training signals.
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