{"schemaVersion":"jobsearcher.job.v1","id":"9fbd4a7ba399ab9d3787a929","url":"https://jobsearcher.com/jobs/9fbd4a7ba399ab9d3787a929","canonicalUrl":"https://jobsearcher.com/jobs/9fbd4a7ba399ab9d3787a929","title":"ML Engineer","description":"We're hiring on behalf of a Haystack partner!The Role Conduct cutting-edge research in efficient generative AI, including LLMs, Multi-Modal Foundation Models, LLM Reasoning, Reinforcement Learning, Agentic AI, and Autonomy. Lead high-impact research initiatives and contribute to the development of production-ready solutions with real-world commercial impact. Develop creative solutions that address practical challenges for on-device deployment. Implement and evaluate solutions in both 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 (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP). Deep expertise in Generative AI, Multi-Modal Foundation models, Vision Language Models, Reasoning, Reinforcement Learning, and Agentic AI. 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, Electrical Engineering, or a related field. Experience in developing and/or optimizing machine learning models, systems, platforms, or methods.What's On Offer The 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":"San Diego","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-19T08:23:12.016Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"ML Engineer","description":"We're hiring on behalf of a Haystack partner!The Role Conduct cutting-edge research in efficient generative AI, including LLMs, Multi-Modal Foundation Models, LLM Reasoning, Reinforcement Learning, Agentic AI, and Autonomy. Lead high-impact research initiatives and contribute to the development of production-ready solutions with real-world commercial impact. Develop creative solutions that address practical challenges for on-device deployment. Implement and evaluate solutions in both 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 (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP). Deep expertise in Generative AI, Multi-Modal Foundation models, Vision Language Models, Reasoning, Reinforcement Learning, and Agentic AI. 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, Electrical Engineering, or a related field. Experience in developing and/or optimizing machine learning models, systems, platforms, or methods.What's On Offer The 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":"2026-06-19T08:23:12.016Z","dateModified":"2026-06-19T08:23:12.016Z","hiringOrganization":{"@type":"Organization","name":"Haystack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9fbd4a7ba399ab9d3787a929"},"url":"https://jobsearcher.com/jobs/9fbd4a7ba399ab9d3787a929"}}