Scientist Salary at Biomea Fusion BETA

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

Title: Research Scientist, Pre-Pivotal Biologics Development Duration: 6+months Location: Foster City, CA Key Responsibilities: Proficiency with CRISPR nuclease screening. Experience with NGS library preparation and INDEL calling using Illumina sequencing platforms. Lead TLA and long-read sequencing efforts using PacBio and/or Oxford Nanopore technologies. Support process improvements for increased speed and efficiency to generate highly productive, high quality, robust cell lines that meet all regulatory requirements with high quality documentation. Willing to learn hands-on laboratory operations such as molecular biology, shake flask, bench scale bioreactor and novel culture platforms. Contribute to written technical reports, Regulatory filing support, present in group meetings, and work cross-functionally to achieve common goals. Qualifications/ Skills/ Experience: BS/ MS and 10 years, Ph.D. and 0-2 years of experience in a relevant scientific discipline (biology, bioengineering, ch

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 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 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

We are seeking a highly motivated research scientist to join our growing team. As a key member of the Research and Development team, the successful candidate will be integral to our work building the foundational scientific knowledge and developing the novel solutions needed to track and quantify the net impact (carbon, agronomic, and broader ecosystem) of enhanced rock weathering in the tropics. You will contribute to the development of our measurement, reporting, and verification (MRV) strategies and broader research agenda through analysis of datasets large and small, conducting comprehensive literature reviews, and chasing up targeted research questions. We are looking for a fast learner and strong communicator who is not afraid to roll up their sleeves and dig into messy datasets and tackle hard problems. Role Responsibilities: Conduct rigorous data analysis and data manipulation. Perform comprehensive literature reviews to inform research directions and project development. Sourc