{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/systematic-prompting-finetuning-or-evaluation"},"x-facet":{"type":"skill","slug":"systematic-prompting-finetuning-or-evaluation","display":"systematic prompting, finetuning, or evaluation","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cc9d92de-913"},"title":"Research Engineer / Research Scientist, Vision","description":"<p>We&#39;re looking for research engineers with a strong computer vision background to work on research, development, and evaluation for state-of-the-art Claude models. In this role, you&#39;ll run experiments to evaluate architectural variants, data strategies, and SL and RL techniques to improve Claude&#39;s vision. You&#39;ll also develop and test tools, skills, and agentic infrastructure that enable Claude to reason over visual inputs. Additionally, you&#39;ll create evaluations and benchmarks that measure progress on multimodal capabilities across training and deployment.</p>\n<p>As a research engineer, you&#39;ll partner with the product org to ensure that the vision improvements you deliver impact Claude&#39;s performance on real-world tasks. You&#39;ll also work with our product org to find solutions to our most vexing API customer challenges related to vision and spatial reasoning.</p>\n<p>Strong candidates may also have experience with large-scale pretraining, SL, and RL on language models, deep learning research on images, video, or other modalities, developing complex agentic systems using LLMs, high-performance ML systems (GPUs, TPUs, JAX, PyTorch), and large-scale ETL and data pipeline development.</p>\n<p>The annual compensation range for this role is $350,000-$850,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cc9d92de-913","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5074217008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$850,000 USD","x-skills-required":["computer vision","ML","software engineering","large vision language models","synthetic and real-world visual training datasets","systematic prompting, finetuning, or evaluation"],"x-skills-preferred":["large-scale pretraining","SL","RL","deep learning research","agentic systems","high-performance ML systems","ETL and data pipeline development"],"datePosted":"2026-04-18T15:42:18.530Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"computer vision, ML, software engineering, large vision language models, synthetic and real-world visual training datasets, systematic prompting, finetuning, or evaluation, large-scale pretraining, SL, RL, deep learning research, agentic systems, high-performance ML systems, ETL and data pipeline development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}}]}