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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d361504c-85b"},"title":"Member of Technical Staff - Machine Learning Engineer","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented and experienced Machine Learning Engineer to join our Growth team and help shape the next generation of AI systems, specifically for our personal AI assistant, Copilot.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Machine Learning Engineer on our Growth team, you will design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. You will leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking. You will drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms. You will develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds.</li>\n<li>Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.</li>\n<li>Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.</li>\n<li>Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).</li>\n<li>Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS).</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong problem-solving skills and the ability to independently design solutions to complex challenges.</li>\n<li>Excellent communication skills, with the ability to influence technical and non-technical audiences.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary range: $119,800 - $234,700 per year.</li>\n<li>Comprehensive benefits package, including health insurance, retirement plan, and paid time off.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_d361504c-85b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-machine-learning-engineer-4/","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$119,800 - $234,700 per year","x-skills-required":["Machine Learning","Python","PyTorch","TensorFlow","Spark","Pandas","Azure","AWS"],"x-skills-preferred":["Large Language Models","Recommendation Systems","Personalization","Data-Driven Experimentation"],"datePosted":"2026-03-06T07:28:38.517Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Python, PyTorch, TensorFlow, Spark, Pandas, Azure, AWS, Large Language Models, Recommendation Systems, Personalization, Data-Driven Experimentation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}}]}