{"schemaVersion":"jobsearcher.job.v1","id":"9222d07126d223084b5e8a98","url":"https://jobsearcher.com/jobs/9222d07126d223084b5e8a98","canonicalUrl":"https://jobsearcher.com/jobs/9222d07126d223084b5e8a98","title":"Machine Learning Specialist","description":"Machine Learning Researcher | Hybrid | $159,100.00 - $238,700.00This employer is a globally recognised leader in artificial intelligence research, renowned for its innovative contributions across a wide spectrum of AI fields, from generative AI to efficient on-device intelligence. They offer a unique opportunity to join a multi-disciplinary, global team that directly influences technology deployed worldwide.The Role• Conduct cutting-edge research in efficient generative AI, including LLMs, Multi-Modal Foundation Models, and Reinforcement Learning.• Lead high-impact research initiatives and contribute to the development of production-ready solutions.• Develop creative solutions for practical on-device deployment challenges.• Implement and evaluate solutions in simulation and on-device environments.• Publish research findings in top-tier AI/ML conferences.• Contribute to strategic goals in efficient AI and embedded intelligence.What You'll Need• Proven research excellence demonstrated by publications in top-tier AI/ML conferences.• Deep expertise in Generative AI, Multi-Modal Foundation models, and Reinforcement Learning.• Hands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization.• A Master's degree and 2+ years of related work experience, or a PhD in Computer Science or a related field.• Experience in developing and/or optimizing machine learning models, systems, or platforms.What's On Offer• Opportunity to be part of a globally recognized AI research organization.• Engage in impactful projects with significant real-world deployment.• Collaborate with top researchers within a global network.• Thrive in an inclusive and innovation-driven work environment.• Competitive salary, annual discretionary bonus program, and opportunity for RSU grants.Apply via Haystack today!","company":"Haystack","rawCompany":"haystack","city":"Chula Vista","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T08:54:08.412Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Specialist","description":"Machine Learning Researcher | Hybrid | $159,100.00 - $238,700.00This employer is a globally recognised leader in artificial intelligence research, renowned for its innovative contributions across a wide spectrum of AI fields, from generative AI to efficient on-device intelligence. They offer a unique opportunity to join a multi-disciplinary, global team that directly influences technology deployed worldwide.The Role• Conduct cutting-edge research in efficient generative AI, including LLMs, Multi-Modal Foundation Models, and Reinforcement Learning.• Lead high-impact research initiatives and contribute to the development of production-ready solutions.• Develop creative solutions for practical on-device deployment challenges.• Implement and evaluate solutions in simulation and on-device environments.• Publish research findings in top-tier AI/ML conferences.• Contribute to strategic goals in efficient AI and embedded intelligence.What You'll Need• Proven research excellence demonstrated by publications in top-tier AI/ML conferences.• Deep expertise in Generative AI, Multi-Modal Foundation models, and Reinforcement Learning.• Hands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization.• A Master's degree and 2+ years of related work experience, or a PhD in Computer Science or a related field.• Experience in developing and/or optimizing machine learning models, systems, or platforms.What's On Offer• Opportunity to be part of a globally recognized AI research organization.• Engage in impactful projects with significant real-world deployment.• Collaborate with top researchers within a global network.• Thrive in an inclusive and innovation-driven work environment.• Competitive salary, annual discretionary bonus program, and opportunity for RSU grants.Apply via Haystack today!","datePosted":"2026-04-14T08:54:08.412Z","dateModified":"2026-04-14T08:54:08.412Z","hiringOrganization":{"@type":"Organization","name":"Haystack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chula Vista","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9222d07126d223084b5e8a98"},"url":"https://jobsearcher.com/jobs/9222d07126d223084b5e8a98"}}