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1617
Results
316
Companies
92.7
Average score
402
Remote
10 results on this page. 1617 results in total. More results are available via pagination, company pages, skill pages and job detail pages.
Lead Solutions Architect - Generative AI (EMEA Emerging DNB)
Databricks · London, United Kingdom
95/100
Why this is a real AI job: The role is explicitly focused on Generative AI and LLMs, requiring deep technical expertise in the field. The job description details tasks such as building proofs of concept, fine-tuning models, and leading technical engagements centered around GenAI. The c…
REQ ID: FEQ227R147 Location: Netherlands (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-movi…
Senior EMEA AI Solutions Architect
Databricks · Paris, France
95/100
Why this is a real AI job: The role explicitly focuses on AI solutions architecture, agentic AI use cases, and driving AI adoption. The job description heavily emphasizes hands-on experience with AI technologies and frameworks (Databricks Agent Framework, LLMs, MLflow).
The Solutions Architect (AI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market t…
95/100
Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description heavily emphasizes AI/ML/LLM concepts and techniques.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic · New York City, NY, San Francisco, CA
95/100
Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description details tasks such as developing RL infrastructure,…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
Research Engineer, Machine Learning (RL Velocity)
Anthropic · San Francisco, CA
95/100
Why this is a real AI job: The role is explicitly focused on building and improving RL training infrastructure, directly supporting AI research and model development. The responsibilities center around ML systems and algorithms.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
95/100
Why this is a real AI job: The role is explicitly focused on building and improving RL training infrastructure, directly supporting and accelerating AI research. The responsibilities center around ML models and systems.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
Research Engineer, Post-Training Model Evaluations
Anthropic · San Francisco, CA
95/100
Why this is a real AI job: The role is explicitly focused on evaluating and improving the quality, alignment, and safety of production LLMs. Responsibilities directly involve ML model evaluation, data analysis, and building evaluation methodologies. The entire job revolves around AI/ML.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
Data Scientist, Safeguards
Anthropic · Remote-Friendly US (Travel Required)
95/100
Why this is a real AI job: The role is explicitly focused on building and scaling a data-driven culture to ensure safe and beneficial AI. The responsibilities center around analyzing user behavior related to safety, defining key metrics for success, and building systems to improve prod…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
Machine Learning Infrastructure Engineer, Safeguards Research
Anthropic · San Francisco, CA
95/100
Why this is a real AI job: The role is fundamentally focused on building infrastructure to support machine learning research specifically for detecting and mitigating misuse of AI models. It directly involves working with model internals, training detection methods, and deploying these…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
Applied AI Engineer, Beneficial Deployments (Life Sciences)
Anthropic · San Francisco, CA
95/100
Why this is a real AI job: The role explicitly focuses on building LLM-powered tools and applications within the life sciences domain, working directly with research partners to integrate AI into their workflows. Responsibilities center around AI infrastructure, agent development, and…
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…