Research Engineer / Research Scientist, Pre-training

ph3About Anthropic /h3 pAnthropic’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. /p h3About The Team /h3 pWe are seeking passionate Research Scientists and Engineers to join our growing Pre‑training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text. /p pIn this role, you will work at the intersection of cutting‑edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. /p h3Responsibilities /h3 ul liConduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development /li liIndependently lead small research projects while collaborating with team members on larger initiatives /li liDesign, run, and analyze scientific experiments to advance our understanding of large language models /li liOptimize and scale our training infrastructure to improve efficiency and reliability /li liDevelop and improve dev tooling to enhance team productivity /li liContribute to the entire stack, from low‑level optimizations to high‑level model design /li /ul h3Qualifications Experience /h3 ul liDegree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field /li liStrong software engineering skills with a proven track record of building complex systems /li liExpertise in Python and deep learning frameworks /li liHave worked on high‑performance, large‑scale ML systems, particularly in the context of language modeling /li liFamiliarity with ML Accelerators, Kubernetes, and large‑scale data processing /li liStrong problem‑solving skills and a results‑oriented mindset /li liExcellent communication skills and ability to work in a collaborative environment /li /ul h3You’ll thrive in this role if you /h3 ul liHave significant software engineering experience /li liAre able to balance research goals with practical engineering constraints /li liAre happy to take on tasks outside your job description to support the team /li liEnjoy pair programming and collaborative work /li liAre eager to learn more about machine learning research /li liAre enthusiastic to work at an organization that functions as a single, cohesive team pursuing large‑scale AI research projects /li liHave ambitious goals for AI safety and general progress in the next few years, and you’re excited to create the best outcomes over the long‑term /li /ul h3Sample Projects /h3 ul liOptimizing the throughput of novel attention mechanisms /li liProposing Transformer variants, and experimentally comparing their performance /li liPreparing large‑scale datasets for model consumption /li liScaling distributed training jobs to thousands of accelerators /li liDesigning fault tolerance strategies for training infrastructure /li liCreating interactive visualizations of model internals, such as attention patterns /li /ul pIf you’re excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! /p h3Annual Salary /h3 pCHF 280,000—CHF 680,000 CHF /p h3Logistics /h3 pbEducation requirements: /b We require at least a Bachelor's degree in a related field or equivalent experience. /p pbLocation‑based hybrid policy: /b Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. /p pbVisa sponsorship: /b We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. /p pWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. /p pbYour safety matters to us. /b To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—visit anthropic.com/careers directly for confirmed position openings. /p h3How We’re Different /h3 pWe believe that the highest‑impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large‑scale research efforts. And we value impact — advancing our long‑term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest‑impact work at any given time. As such, we greatly value communication skills. /p pThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT‑3, Circuit‑Based Interpretability, Multimodal Neurons, Scaling Laws, AI Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. /p h3Come work with us! /h3 pAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. /p pbGuidance on Candidates’ AI Usage: /b Learn about our policy for using AI in our application process. /p /p #J-18808-Ljbffr