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Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.</p>\n<p>What We’re Looking For: BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 6+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance - Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects.</p>\n<p>Why Join Us? 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>About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.</p>\n<p>Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</p>\n<p>Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.</p>\n<p>Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</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_b4f04efb-515","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/7958967002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Search relevance systems","Machine learning","Natural language processing","Text mining","Recommendations","Personalization","Discovery","Conversational AI"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:37.399Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Search relevance systems, Machine learning, Natural language processing, Text mining, Recommendations, Personalization, Discovery, Conversational AI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d70a8194-b84"},"title":"Software Engineer, Machine Learning","description":"<p>We are seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. 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If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI&#39;s benefits reach everyone. We are looking for visionary Research Engineers to join our Applied Group, where you&#39;ll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Research Engineer in OpenAI&#39;s Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You&#39;ll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you&#39;re excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI&#39;s research from concept to implementation, creating AI-driven applications with a direct impact.</li>\n</ul>\n<ul>\n<li>Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.</li>\n</ul>\n<ul>\n<li>Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.</li>\n</ul>\n<ul>\n<li>Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.</li>\n</ul>\n<ul>\n<li>Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.</li>\n</ul>\n<p>You might thrive in this role if you:</p>\n<ul>\n<li>Master&#39;s/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.</li>\n</ul>\n<ul>\n<li>Demonstrated experience in deep learning and transformers models</li>\n</ul>\n<ul>\n<li>Proficiency in frameworks like PyTorch or Tensorflow</li>\n</ul>\n<ul>\n<li>Strong foundation in data structures, algorithms, and software engineering principles.</li>\n</ul>\n<ul>\n<li>Experience with search relevance, ads ranking or LLMs is a plus.</li>\n</ul>\n<ul>\n<li>Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization</li>\n</ul>\n<ul>\n<li>Excellent problem-solving and analytical skills, with a proactive approach to challenges.</li>\n</ul>\n<ul>\n<li>Ability to work collaboratively with cross-functional teams.</li>\n</ul>\n<ul>\n<li>Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines</li>\n</ul>\n<ul>\n<li>Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_c6f7f50a-a66","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/d44c9f70-4aef-45a4-a36a-54fb65663ccb","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$250K – $555K • Offers Equity","x-skills-required":["Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field","Demonstrated experience in deep learning and transformers models","Proficiency in frameworks like PyTorch or Tensorflow","Strong foundation in data structures, algorithms, and software engineering principles","Experience with search relevance, ads ranking or LLMs is a plus"],"x-skills-preferred":["Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization","Excellent problem-solving and analytical skills, with a proactive approach to challenges","Ability to work collaboratively with cross-functional teams","Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines","Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done"],"datePosted":"2026-03-06T18:26:13.276Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field, Demonstrated experience in deep learning and transformers models, Proficiency in frameworks like PyTorch or Tensorflow, Strong foundation in data structures, algorithms, and software engineering principles, Experience with search relevance, ads ranking or LLMs is a plus, Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization, Excellent problem-solving and analytical skills, with a proactive approach to challenges, Ability to work collaboratively with cross-functional teams, Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines, Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":250000,"maxValue":555000,"unitText":"YEAR"}}}]}