{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/feature-augmentation"},"x-facet":{"type":"skill","slug":"feature-augmentation","display":"Feature Augmentation","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_bc4a1959-a13"},"title":"Senior Applied AI Engineer","description":"<p>As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimisation algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products.</p>\n<p>From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks&#39; infrastructure and products as performant and cost-efficient as possible.</p>\n<p>This is a high-impact problem as our customers look at us to deliver the most out of their data.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building features and running end-to-end systems in a small team of experienced engineers and data scientists.</li>\n<li>Shaping the direction of our applied ML investment by engaging with engineering and product teams across the company.</li>\n<li>Driving the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.</li>\n<li>Architecting and implementing robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.</li>\n<li>Working on novel modeling techniques in the field of ML for forecasting.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>2-8 years of machine learning engineering experience in high-velocity, high-growth companies.</li>\n<li>Strong understanding of both computer systems and statistics.</li>\n<li>Experience developing AI/ML systems at scale in production.</li>\n<li>Strong track record of ML modeling that goes beyond using standard libraries.</li>\n<li>Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.</li>\n<li>A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.</li>\n</ul>\n<p>Why Join Us?</p>\n<p>At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.</p>\n<p>If you&#39;re excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!</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_bc4a1959-a13","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8091041002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["machine learning","optimisation algorithms","AutoML","deep learning","feature augmentation","auto-tuning","statistical models","computer systems","statistics","AI/ML systems","software engineering","testing","code reviews","deployment"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:45:20.111Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Belgrade, Serbia"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, optimisation algorithms, AutoML, deep learning, feature augmentation, auto-tuning, statistical models, computer systems, statistics, AI/ML systems, software engineering, testing, code reviews, deployment"}]}