Model Salary at Miyoko's Kitchen BETA

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

Terradot is hiring a Software Engineer (Scientific Modeling). This role will be pivotal in developing software to build and scale our scientific models to support scaling our deployments and removing carbon at the speed & scale our planet requires. You will build and deploy scientific models that leverage bits to move atoms effectively! This role is a key part of Terradot's Technology Team. You will work on the Technology Team and work directly with the founders. Responsibilities: You will help build, develop, and scale scientific models (Reactive Transport Models, Biogeochemical Models, Earth-Systems Models, Hydrological Models). Note this role doesn't require you to be an expert in the underlying models (other members of the team will have that expertise), but you will help build the software and infrastructure around these underlying models and parametrize them effectively at scale to accelerate Terradot's global ERW deployments and help remove carbon at Speed & Scale. For example,

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

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 together to build beneficial AI systems. About the role: Anthropic's Applied Finetuning team builds on Anthropic's Finetuning research to make Anthropic's business and products successful. As a Research Engineering Manager, you will lead a team of researchers and research engineers who directly train the flagship models we launch to the public via Claude.AI and our API. You will lead a team designing and iterating on state-of-the-art finetuning techniques, such as Constitutional AI and RLHF, to train our production Claude models. Your team will implement new algorithms, run experiments on data mixes, design evaluations, and improve our production model finetuning pipeline. Responsibilities: Lea

Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 750,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 3