{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/machine-learning-intern"},"x-facet":{"type":"title","slug":"machine-learning-intern","display":"Machine Learning Intern","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_7be2f955-b0a"},"title":"Machine Learning Intern","description":"<p>As a Fintech company where Machine Learning (ML) is a key driver of growth, our operations highly rely on machine learning models, from business decisions to customer experiences. We seek talented and motivated students and recent graduates with a strong background in machine learning, deep learning, language models, and generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program.</p>\n<p>You will work on real-world projects, collaborate with experienced professionals, gain valuable experience in the fintech industry, and realise business and social impact. This role requires hybrid work from our Mountain View office, with 2 days a week in person. This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Train and fine-tune large-scale Foundation Models to support various fintech product use cases</li>\n<li>Work with a large dataset, including structured and unstructured data</li>\n<li>Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades</li>\n<li>Gain hands-on experience with a wide array of technologies, including PyTorch, AWS, Kafka, Databricks, etc</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Actively pursuing a Master&#39;s or PhD in Computer Science, Information Technology, or a related field</li>\n<li>Located in Mountain View, or have the ability to relocate there, for the duration of the internship</li>\n<li>Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large-scale models, Sequence Transformer models</li>\n<li>Interest in multimodal or multitask learning across structured, sequential, and behavioural data</li>\n<li>Familiarity with AI tools, harness engineering, agentic workflow, etc.</li>\n<li>Hands-on programming experience in Python and ML frameworks such as PyTorch</li>\n<li>Equipped with good verbal and written communication skills</li>\n<li>A background demonstrating strong problem-solving skills</li>\n<li>Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion</li>\n</ul>\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_7be2f955-b0a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"EarnIn","sameAs":"https://www.earnin.com/","logo":"https://logos.yubhub.co/earnin.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/earnin/jobs/7770051","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"internship","x-salary-range":"$40 per hour","x-skills-required":["machine learning","deep learning","language models","generative AI","programming","data analysis","PyTorch","AWS","Kafka","Databricks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:51:48.998Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, US"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Finance","skills":"machine learning, deep learning, language models, generative AI, programming, data analysis, PyTorch, AWS, Kafka, Databricks"}]}