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This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>This role is part of Microsoft AI&#39;s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.</li>\n<li>Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.</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>Strong software engineering fundamentals building large-scale, production systems.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Python used as a primary language in production systems.</li>\n<li>Kubernetes + containers: deploying, operating, and supporting production workloads.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Hands-on ownership of production infrastructure (not just usage).</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.</li>\n<li>Certain roles may be eligible for benefits and other compensation. 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If you&#39;re excited by cutting-edge technology and want to shape the future of sports analytics, this is the role for you!</p>\n<p><strong>What you&#39;ll do</strong></p>\n<p>As a Software Engineer at TRACAB, you will:</p>\n<ul>\n<li>Work together with the team to create tooling that will transform how we understand and work with our data.</li>\n<li>Create and maintain beautiful visualization tools.</li>\n<li>Transform manual tasks into simple GUIs and automation scripts.</li>\n<li>Structure our data, using modern database concepts.</li>\n<li>Work with our data pipelines to ensure that our Machine Learning developers always have the data they need.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>A Masters degree in Computer Science or equivalent academic or industrial experience.</li>\n<li>Comfortable in Python, NodeJS and ReactJS.</li>\n<li>Curious and communicative.</li>\n<li>Ability to step into new code bases and get things done.</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_08904ed9-c48","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Tracab-Software-Engineer/212484","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","NodeJS","ReactJS","Masters degree in Computer Science"],"x-skills-preferred":["API design","C++","sports video and/or data","Computer Vision and/or Machine Learning on images/video"],"datePosted":"2026-02-13T15:04:40.529Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Stockholm"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, NodeJS, ReactJS, Masters degree in Computer Science, API design, C++, sports video and/or data, Computer Vision and/or Machine Learning on images/video"}]}