Laboratory Assistant Salary at Unisteel Technology Ltd BETA

About the Job We are partnered with a frontier AI research lab in San Francisco, dedicated to solving AI alignment through interpretability, explainability and transparently built foundation models. Backed by top investors and founded by ex-DeepMind/OpenAI Scientists, they are scaling their research science team and looking to redefine safety for foundation models. This role offers the chance to contribute to cutting-edge AI research, working with leading experts to develop scalable interpretability techniques and shape the future of AI safety. You’ll be contributing to their overall scientific mission and representing the company at ICLR, ICML and NeurIPS. They want to be known as the people that publish the most important work, and this is an opportunity to ride shotgun on that mission. Your Role: Conduct research in mechanistic interpretability and model editing. Develop algorithms to analyse, visualise, and modify AI models. Build scalable systems with engineers to deploy interpret

About the Job: Our client - one of the most ambitious AI research labs in the world - is hiring Research Scientists! With offices in San Francisco and New York City, this team is pushing the boundaries of foundation models, large language models (LLMs), and multimodal AI. If you want to work on SOTA architectures that redefine what's possible in self-supervised learning, scaling laws, and next-gen inference techniques, this is where you belong. Why Join? World-Class Research - Work alongside AI pioneers from the most elite institutions and industry labs. Massive Compute - Unparalleled access to cutting-edge infrastructure, including custom-built clusters designed for LLM-scale training. Open-ended Discovery - No incremental projects here - this is about making fundamental advances in deep learning, representation learning, and generative models. Real-World Impact - Your work won’t sit in a paper; it will be deployed in groundbreaking AI systems used globally. Who We're Looking For: We’

About the Job We are partnered with a frontier AI research lab in San Francisco, dedicated to solving AI alignment through interpretability, explainability and transparently built foundation models. Backed by top investors and founded by ex-DeepMind/OpenAI Scientists, they are scaling their research science team and looking to redefine safety for foundation models. This role offers the chance to contribute to cutting-edge AI research, working with leading experts to develop scalable interpretability techniques and shape the future of AI safety. You’ll be contributing to their overall scientific mission and representing the company at ICLR, ICML and NeurIPS. They want to be known as the people that publish the most important work, and this is an opportunity to ride shotgun on that mission. Your Role: Conduct research in mechanistic interpretability and model editing. Develop algorithms to analyse, visualise, and modify AI models. Build scalable systems with engineers to deploy interpret

About the Job: Our client - one of the most ambitious AI research labs in the world - is hiring Research Scientists! With offices in San Francisco and New York City, this team is pushing the boundaries of foundation models, large language models (LLMs), and multimodal AI. If you want to work on SOTA architectures that redefine what's possible in self-supervised learning, scaling laws, and next-gen inference techniques, this is where you belong. Why Join? World-Class Research - Work alongside AI pioneers from the most elite institutions and industry labs. Massive Compute - Unparalleled access to cutting-edge infrastructure, including custom-built clusters designed for LLM-scale training. Open-ended Discovery - No incremental projects here - this is about making fundamental advances in deep learning, representation learning, and generative models. Real-World Impact - Your work won’t sit in a paper; it will be deployed in groundbreaking AI systems used globally. Who We're Looking For: We’

About the Job We are partnered with a frontier AI research lab in San Francisco, dedicated to solving AI alignment through interpretability, explainability and transparently built foundation models. Backed by top investors and founded by ex-DeepMind/OpenAI Scientists, they are scaling their research science team and looking to redefine safety for foundation models. This role offers the chance to contribute to cutting-edge AI research, working with leading experts to develop scalable interpretability techniques and shape the future of AI safety. You’ll be contributing to their overall scientific mission and representing the company at ICLR, ICML and NeurIPS. They want to be known as the people that publish the most important work, and this is an opportunity to ride shotgun on that mission. Your Role: Conduct research in mechanistic interpretability and model editing. Develop algorithms to analyse, visualise, and modify AI models. Build scalable systems with engineers to deploy interpret

About the Job: Our client - one of the most ambitious AI research labs in the world - is hiring Research Scientists! With offices in San Francisco and New York City, this team is pushing the boundaries of foundation models, large language models (LLMs), and multimodal AI. If you want to work on SOTA architectures that redefine what's possible in self-supervised learning, scaling laws, and next-gen inference techniques, this is where you belong. Why Join? World-Class Research - Work alongside AI pioneers from the most elite institutions and industry labs. Massive Compute - Unparalleled access to cutting-edge infrastructure, including custom-built clusters designed for LLM-scale training. Open-ended Discovery - No incremental projects here - this is about making fundamental advances in deep learning, representation learning, and generative models. Real-World Impact - Your work won’t sit in a paper; it will be deployed in groundbreaking AI systems used globally. Who We're Looking For: We’

Job Title: Research Scientist We are seeking a dedicated Research Scientist to join our team. In this role, you will lead cutting-edge research, design benchmarks, and and agent architectures. This role is for someone eager to push the boundaries of what's possible in AI, contributing to our mission of building digital humans. The ideal candidate will have a PhD from a top program, with deep experience on relevant work (vision-action models, robotics + RL, etc.). Key Responsibilities: Conduct thorough research and review relevant scientific papers. Develop and design benchmarks for evaluating AI performance. Create and iterate on agent architectures to enhance AI capabilities. Run experiments to test hypotheses and improve agent functionalities. Collaborate with a cross-functional team to align research goals with company objectives. Stay updated with the latest advancements in AI and related fields. Required Skills and Qualifications: Proven research experience and a PhD in a relevant

About Applied Intuition Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition's solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week. (Note this is not appl