76 to 81 of 81 Remote Research Scientist Jobs

Job Description Senior AI Researcher Research Scientist (Junior/Senior) Location: London (Hybrid) Salary: £75,000 – £110,000 + bonus + generous stock options Excited about shaping the future of AI in biology through foundational research? Qualifications: MSc and 2-3 years experience/PhD or equivalent experience in AI, ML, Computational Biology, or related field. Track … record of impactful research with publications in top journals/conferences. Experience leading research projects or mentoring junior scientists (for senior roles). Background in generative models (e.g., diffusion, Bayesian Flow Networks) or multimodal ML Interest or experience in biological domains like drug discovery, genomics, proteomics, protein design etc. Responsibilities: Drive cutting-edge research in multimodal generative … models for biological applications. Collaborate with internal researchers and strategic partners to advance research goals. Present and publish findings in top-tier conferences, journals, and industry events. Contribute to building a collaborative, innovative, and knowledge-sharing research culture. Engage in cross-functional projects with applied BioAI and external collaborators such as NVIDIA/leading AI labs at Oxford More ❯

Job Title: Research Scientist, Large Scale Pre-Training Data Job Location: London, UK Job Location Type: Hybrid Job Contract Type: Full-time Job Seniority Level: Associate At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion … need that requires accommodation, please do not hesitate to let us know. Snapshot At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking fundamental research and deployment in large scale pre … for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role We’re looking for a Research Scientist with a strong empirical and theoretical understanding of deep learning with a focus on data, as well as strong engineering skills and understanding of distributed systems. Key More ❯

join with: This new full–time post is available immediately on a permanent basis. This advert is for two identical roles P93035 and P93036 with one round of interviews. Research Data Scientists Following a significant investment in Data Science and AI skills at the University of Exeter, we are establishing a new team of Research Data Scientists to … support the expansion of our research and education activities. These appointments are a fantastic opportunity to join the University of Exeter and contribute to the development and delivery of an ambitious agenda using the power of data science and AI for the benefit of society. As members of the academic community with close ties to Exeter’s research environment, Research Data Scientists will collaborate with researchers across the university to design and apply computational approaches to extract knowledge and insight from data, and help solve research problems in an ethical, reliable, and reproducible manner. The new team will initially consist of two Research Data Scientists and a Senior Research Data Scientist, who More ❯

helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful … provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve … of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models' reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy. You may be More ❯

The Science of Evaluations Team AISI’s Science of Evaluations team will conduct applied and foundational research focused on two areas at the core of our mission: (i) measuring existing frontier AI system capabilities and (ii) predicting the capabilities of a system before running an evaluation. Measurement of Capabilities: The goal is to develop and apply rigorous scientific techniques … for the measurement of frontier AI system capabilities, so they are accurate, robust, and useful in decision making. This is a nascent area of research which supports one of AISI's core products: conducting tests of frontier AI systems and feeding back results, insights, and recommendations to model developers and policy makers. The team will be an independent voice … we would be able to do this at some point early in the training process of a new model, using information about the architecture, dataset, or training compute. This research aims to provide us with advance warning of models reaching a particular level of capability, where additional safety mitigations may need to be put in place. This work is More ❯

The Science of Evaluations Team AISI's Science of Evaluations team will conduct applied and foundational research focused on two areas at the core of our mission: (i) measuring existing frontier AI system capabilities and (ii) predicting the capabilities of a system before running an evaluation. Measurement of Capabilities: The goal is to develop and apply rigorous scientific techniques … for the measurement of frontier AI system capabilities, so they are accurate, robust, and useful in decision making. This is a nascent area of research which supports one of AISI's core products: conducting tests of frontier AI systems and feeding back results, insights, and recommendations to model developers and policy makers. The team will be an independent voice … we would be able to do this at some point early in the training process of a new model, using information about the architecture, dataset, or training compute. This research aims to provide us with advance warning of models reaching a particular level of capability, where additional safety mitigations may need to be put in place. This work is More ❯