{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/or-a-related-discipline"},"x-facet":{"type":"skill","slug":"or-a-related-discipline","display":"Or A Related Discipline","count":6},"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_3487a0dd-b87"},"title":"Associate, Data Engineer","description":"<p><strong>Associate, Data Engineer at BlackRock</strong></p>\n<p>About this role</p>\n<p>BlackRock is looking for a data engineer to join the Digital Data Engineering team. In this role, you will help develop data integrations between BlackRock’s internal data systems and our external marketing technology platforms. You will work with business partners to develop data structures, build ETL pipelines, and implement appropriate data governance and monitoring.</p>\n<p>As part of BlackRock’s Digital organization, this role supports our mission to create AI-enabled, personalized and scalable marketing experiences. You will build the data foundations that power next generation digital platforms, audience personalization, and intelligent activation across a global ecosystem.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build scalable data pipelines that support AI-enabled digital experiences, personalization, and marketing automation.</li>\n<li>Leverage AI-driven development and testing tools to increase engineering quality, speed, and reliability.</li>\n<li>Contribute to ongoing platform modernization efforts across Martech, content, analytics, and web ecosystems.</li>\n<li>Collaborate with cross-functional stakeholders to ensure data is structured and governed in ways that accelerate downstream personalization and analytics use cases.</li>\n<li>Architect and develop data solutions to bring new datasets into digital ecosystem including Private Markets data and product data.</li>\n</ul>\n<p><strong>Core Skills</strong></p>\n<ul>\n<li>You have flawless written and verbal communication and ability to gain buy-in on plans from a non-technical audience</li>\n<li>You have experience working with a broad set of stakeholders, including non-technical and non-quantitative people.</li>\n<li>You are comfortable using AI tools to enhance development workflows, such as prototyping, testing, documentation, and data validation.</li>\n<li>You have a strong desire to develop creatively and promote innovation.</li>\n<li>You&#39;re self-motivated and able to think big while also taking direction and feedback.</li>\n<li>You have excellent teamwork and collaboration skills.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>3+ years’ experience in in SQL and Python, with experience in both RDBMS and Big Data structures. Existing experience with Snowflake-specific concepts is desirable.</li>\n<li>Familiarity with using AI-assisted development tools (e.g., code generation, code review, unit test development) to improve quality and delivery efficiency.</li>\n<li>ETL and pipeline development experience with Airflow and DBT is a plus.</li>\n<li>CI/CD experience with Azure and understanding of API frameworks is a plus.</li>\n<li>B.S. / M.S. degree in Computer Science, Engineering, or a related discipline.</li>\n<li>Knowledge of Marketing technology platforms is desirable, but not required (e.g., Eloqua/Marketo, web analytics platforms, customer data platforms).</li>\n<li>Relentless desire for understanding how processes work. Creativity in solving unconventional problems.</li>\n<li>Adaptability and resiliency when overcoming challenges.</li>\n</ul>\n<p><strong>Our benefits</strong></p>\n<p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>\n<p><strong>Our hybrid work model</strong></p>\n<p>BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p>\n<p><strong>About BlackRock</strong></p>\n<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</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_3487a0dd-b87","directApply":true,"hiringOrganization":{"@type":"Organization","name":"BlackRock","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/dgM5uMjA3xyRYgwF3u3x72/associate%2C-data-engineer-in-budapest-at-blackrock","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","RDBMS","Big Data structures","Snowflake-specific concepts","AI-assisted development tools","code generation","code review","unit test development","ETL and pipeline development","Airflow","DBT","CI/CD experience","Azure","API frameworks","B.S. / M.S. degree in Computer Science","Engineering","or a related discipline"],"x-skills-preferred":["Marketing technology platforms","Eloqua/Marketo","web analytics platforms","customer data platforms"],"datePosted":"2026-03-09T16:41:54.882Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Budapest"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"SQL, Python, RDBMS, Big Data structures, Snowflake-specific concepts, AI-assisted development tools, code generation, code review, unit test development, ETL and pipeline development, Airflow, DBT, CI/CD experience, Azure, API frameworks, B.S. / M.S. degree in Computer Science, Engineering, or a related discipline, Marketing technology platforms, Eloqua/Marketo, web analytics platforms, customer data platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_00b211a7-f58"},"title":"Sales intern - year in industry in multiphysics simulation software sales","description":"<p>As a sales intern at Synopsys, you will be responsible for generating new business and interest through account-based prospecting programs, including email and calling campaigns. You will also follow up on prospect inquiries about Ansys software products, qualify leads, and coordinate meetings, appointments, and demos with the appropriate opportunity owner. Additionally, you will research, identify, and create new market opportunities by engaging with some of the largest accounts. You will collaborate closely with internal teams and engage current accounts to develop account intelligence, relationship maps, and identify use case opportunities, expanding awareness and referral networks. You will also actively promote strategic marketing events and participate when relevant. You will maintain data integrity and consistency in CRM by updating lead, contact, and account information to provide visibility into market opportunities within your assigned territory.</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_00b211a7-f58","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/sheffield/sales-intern-year-in-industry-in-multiphysics-simulation-software-sales/44408/92395822784","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["currently pursuing a bachelor's degree in Business, Engineering, or a related discipline","enrolled full-time in a degree program that includes a placement experience, with plans to return to university after the internship","interest in participating in regular technical training about multiphysics simulation","experience leveraging social media for engagement and outreach","ability to assess business opportunities based on predetermined criteria and align them with sales strategies","understanding of industry issues and ability to apply software value statements to engage prospective customers meaningfully","excellent communication skills, a drive to win, and a continuous learning mindset","strong networking abilities and the capability to build trust and meaningful connections"],"x-skills-preferred":["technical skills in sales and marketing","experience working in a team environment","ability to work in a fast-paced environment"],"datePosted":"2026-03-06T07:37:11.799Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sheffield"}},"employmentType":"INTERN","occupationalCategory":"Sales","industry":"Technology","skills":"currently pursuing a bachelor's degree in Business, Engineering, or a related discipline, enrolled full-time in a degree program that includes a placement experience, with plans to return to university after the internship, interest in participating in regular technical training about multiphysics simulation, experience leveraging social media for engagement and outreach, ability to assess business opportunities based on predetermined criteria and align them with sales strategies, understanding of industry issues and ability to apply software value statements to engage prospective customers meaningfully, excellent communication skills, a drive to win, and a continuous learning mindset, strong networking abilities and the capability to build trust and meaningful connections, technical skills in sales and marketing, experience working in a team environment, ability to work in a fast-paced environment"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ede762ec-1df"},"title":"Principal Research Programmer","description":"<p>We are seeking a highly skilled Principal Research Programmer to join our Research &amp; Development team. As a Principal Research Programmer, you will be responsible for researching and prototyping machine learning and generative approaches for game content creation, working with development programmers and product programmers to deploy and productize novel technology results in Epic products, and engaging with the scientific community to contribute domain knowledge and advice in support of strategically relevant R&amp;D efforts.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Research and prototype machine learning and generative approaches for game content creation</li>\n<li>Work with development programmers and product programmers to deploy and productize novel technology results in Epic products</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>PhD degree in Computer Science, Machine Learning, Mathematics, Programming, or a related discipline</li>\n<li>Proven applied research impact in shipping titles</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_ede762ec-1df","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5552623004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PhD degree in Computer Science, Machine Learning, Mathematics, Programming, or a related discipline","Proven applied research impact in shipping titles"],"x-skills-preferred":["Strong analytical and reasoning skills with an emphasis on innovative and practical solutions","Excellent programming skills with a preference for experience with Python and C++"],"datePosted":"2026-01-08T03:16:40.245Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD degree in Computer Science, Machine Learning, Mathematics, Programming, or a related discipline, Proven applied research impact in shipping titles, Strong analytical and reasoning skills with an emphasis on innovative and practical solutions, Excellent programming skills with a preference for experience with Python and C++"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9468a7ec-252"},"title":"Principal Research Engineer","description":"<p>We are looking for a Principal Research Engineer to join our team. In this role, you will research and prototype machine learning and generative approaches for game content creation, work with development engineers and product engineers to deploy and productize novel technology results in Epic products, and engage with the scientific community, contribute domain knowledge and advice in support of strategically relevant R&amp;D efforts.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Research and prototype machine learning and generative approaches for game content creation</li>\n<li>Work with development engineers and product engineers to deploy and productize novel technology results in Epic products</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>PhD degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related discipline</li>\n<li>Proven applied research impact in shipping titles</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_9468a7ec-252","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5553148004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PhD degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related discipline","Proven applied research impact in shipping titles"],"x-skills-preferred":["Strong analytical and reasoning skills with an emphasis on innovative and practical solutions","Excellent programming skills with a preference for experience with Python and C++"],"datePosted":"2026-01-08T03:15:28.924Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Porto Alegre, Brazil"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related discipline, Proven applied research impact in shipping titles, Strong analytical and reasoning skills with an emphasis on innovative and practical solutions, Excellent programming skills with a preference for experience with Python and C++"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c98c4304-e19"},"title":"Principal Research Engineer","description":"<p>The Epic Games Research &amp; Development team is searching for an experienced hands-on Research Programmer. The ideal candidate will bring a passion for digital humans and experience with machine learning and animation tech.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<p>The Research Programmer will be responsible for researching and prototyping machine learning and generative approaches for game content creation, working with development programmers and product programmers to deploy and productize novel technology results in Epic products, and engaging with the scientific community to contribute domain knowledge and advice in support of strategically relevant R&amp;D efforts.</p>\n<p><strong>What you need</strong></p>\n<ul>\n<li>PhD degree in Computer Science, Machine Learning, Mathematics, Programming, or a related discipline</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_c98c4304-e19","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5500537004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$270,572—$396,838 USD (California Base Pay Range)","x-skills-required":["PhD degree in Computer Science, Machine Learning, Mathematics, Programming, or a related discipline","Proven applied research impact in shipping titles","Strong analytical and reasoning skills with an emphasis on innovative and practical solutions","Excellent programming skills with a preference for experience with Python and C++"],"x-skills-preferred":["Experience working in common ML frameworks such as PyTorch or Tensorflow, and rapid prototyping in Python","In-depth knowledge in one or more of the following areas: real-time graphics, computer vision, machine learning, animation, large-language models, speech recognition, speech synthesis, linguistics, performance-capture, 3D reconstruction"],"datePosted":"2026-01-08T03:13:29.121Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Multiple Locations"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD degree in Computer Science, Machine Learning, Mathematics, Programming, or a related discipline, Proven applied research impact in shipping titles, Strong analytical and reasoning skills with an emphasis on innovative and practical solutions, Excellent programming skills with a preference for experience with Python and C++, Experience working in common ML frameworks such as PyTorch or Tensorflow, and rapid prototyping in Python, In-depth knowledge in one or more of the following areas: real-time graphics, computer vision, machine learning, animation, large-language models, speech recognition, speech synthesis, linguistics, performance-capture, 3D reconstruction","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":270572,"maxValue":396838,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ced9832a-a8f"},"title":"Principal Research Engineer","description":"<p>The Special Projects team at Epic is responsible for executing high-impact projects that push the envelope to define the future of real-time graphics and gaming technology. In this role, you will research and prototype machine learning and generative approaches for game content creation, work with development engineers and product engineers to deploy and productize novel technology results in Epic products, and engage with the scientific community, contribute domain knowledge and advice in support of strategically relevant R&amp;D efforts.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Research and prototype machine learning and generative approaches for game content creation</li>\n<li>Work with development engineers and product engineers to deploy and productize novel technology results in Epic products</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>PhD degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related discipline</li>\n<li>Proven applied research impact in shipping titles</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_ced9832a-a8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5500535004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["PhD degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related discipline","Proven applied research impact in shipping titles"],"x-skills-preferred":["Strong analytical and reasoning skills with an emphasis on innovative and practical solutions","Excellent programming skills with a preference for experience with Python and C++"],"datePosted":"2026-01-08T03:12:41.358Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cary"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related discipline, Proven applied research impact in shipping titles, Strong analytical and reasoning skills with an emphasis on innovative and practical solutions, Excellent programming skills with a preference for experience with Python and C++"}]}