Model Evaluation Jobs – Seite 4

Warum echter KI-Job: The role is explicitly focused on researching, developing, and implementing new evaluation methods for large language models (LLMs). The core responsibilities revolve around advancing the state-of-the-art in LLM evaluation, building tools for model performanc…

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe th…

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Warum echter KI-Job: The role explicitly focuses on building, governing, and evaluating AI systems in production. The description details responsibilities directly related to core AI/ML engineering tasks like model evaluation, MLOps practices, agent architectures, and addressing…

About the role Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Staff Applied AI Engineer, you'll raise the bar for how AI gets built, governed, and evaluated across the team. You'll define standards that other e…

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Warum echter KI-Job: The role is explicitly focused on research and engineering of machine learning models, agentic AI systems, and productionizing AI solutions. The job description heavily emphasizes AI/ML technical direction, model training, evaluation, and building AI agents.

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and aut…

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Warum echter KI-Job: The role explicitly focuses on research and development of post-training techniques for LLMs, including SFT, RLHF, and reward modeling. The job description highlights the application of these techniques to enhance LLM capabilities and solve core AI problems.

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation an…

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Warum echter KI-Job: The role explicitly focuses on research and development of LLMs, evaluation methodologies, and addressing failure modes in generative AI models. The core responsibilities are deeply rooted in AI/ML techniques.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod w…

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Warum echter KI-Job: The role explicitly focuses on building and deploying AI applications, generating training data for LLMs, and upskilling in AI. The required experience includes applying AI/ML in production environments. The core responsibilities are heavily AI-focused.

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs…

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Warum echter KI-Job: The role is explicitly focused on building data infrastructure for GenAI models, working with leading AI companies, and solving complex AI data problems. The description heavily emphasizes AI/ML/LLM concepts and applications.

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F…

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Warum echter KI-Job: The role explicitly focuses on developing and deploying ML-based search relevance models, NLP pipelines, and evaluating search ranking improvements. The core responsibilities are heavily centered around AI/ML techniques.

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products . Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of milli…

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Warum echter KI-Job: The role explicitly focuses on machine learning engineering within an open-source context, directly contributing to ML models and frameworks. Hugging Face is a leading AI company.

Open-Source Machine Learning Engineer - US Remote

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Warum echter KI-Job: The role explicitly focuses on building and improving ML/LLM models for a customer data platform. The job description details tasks like model evaluation, production monitoring, and pushing the boundaries of personalization algorithms.

RDQ427R109 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platfo…

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