{"schemaVersion":"jobsearcher.job.v1","id":"0bf2c0e76e4e8bba57e1e4ed","url":"https://jobsearcher.com/jobs/0bf2c0e76e4e8bba57e1e4ed","canonicalUrl":"https://jobsearcher.com/jobs/0bf2c0e76e4e8bba57e1e4ed","title":"Applied ML Engineer","description":"If you're passionate about tackling some of the hardest problems in AI and contributing to transformational change in enterprise automation, join us at Kognitos to build the future of software.\r\nWhat You'll Work On:\r\nEfficient Fine-Tuning : Develop innovative methods to optimize resource usage for training and fine-tuning models, ensuring high performance while maintaining efficiency.\r\nAgentic Workflows : Advance workflows that allow AI to reason, plan, and execute tasks with reliability and determinism, minimizing errors and runtime surprises.\r\nMultimodal Language Models : Work on multimodal use cases, combining text, images, and other data formats, to build adaptive, enterprise-ready automation tools.\r\nScalable AI for Enterprises : Address the needs of enterprises by creating AI solutions that can remove 30% of operational expenses through large-scale adoption.\r\nResponsibilities\r\nDesign, implement, and deploy machine learning models focused on agentic workflows and deterministic task execution.\r\nOptimize AI systems for multimodal applications, addressing real-world enterprise challenges.\r\nInnovate on fine-tuning techniques to maximize resource efficiency and improve model performance.\r\nEnsure AI systems are aligned to regulatory policies and deliver consistent business value.\r\nCollaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions.\r\nStay at the cutting edge of AI research, incorporating new advancements into Kognitos' platform.\r\nRequirements\r\nBachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related field.\r\nProven experience in developing and deploying machine learning models in production environments.\r\nExpertise in fine-tuning techniques for large-scale models and optimizing resource usage.\r\nStrong intuition working with LLMs\r\nFamiliarity with multimodal language models and their enterprise applications.\r\nProficiency in Python, TensorFlow, PyTorch, or similar frameworks.\r\nExcellent problem-solving skills and the ability to work in a fast-paced, dynamic\r\nPreferred Qualifications\r\nExperience with agentic workflows and multi-agent systems.\r\nKnowledge of enterprise automation challenges and opportunities.\r\nPrior work in AI for non-consumer use cases, especially in large-scale enterprise environments.\r\nFamiliarity with cloud platforms and distributed computing frameworks.\r\nWhy Join Kognitos?\r\nBe part of a cutting-edge company solving some of AI's hardest problems.\r\nWork on impactful projects in a trillion-dollar hyper-automation market.\r\nCollaborate with a world-class team of engineers and researchers.\r\nContribute to transformational changes in how enterprises operate.\r\nFinal note\r\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\r\nEqual opportunities provider\r\nKognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\r\nJ-18808-Ljbffr","company":"Kognitos","rawCompany":"kognitos","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:12:07.001Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied ML Engineer","description":"If you're passionate about tackling some of the hardest problems in AI and contributing to transformational change in enterprise automation, join us at Kognitos to build the future of software.\r\nWhat You'll Work On:\r\nEfficient Fine-Tuning : Develop innovative methods to optimize resource usage for training and fine-tuning models, ensuring high performance while maintaining efficiency.\r\nAgentic Workflows : Advance workflows that allow AI to reason, plan, and execute tasks with reliability and determinism, minimizing errors and runtime surprises.\r\nMultimodal Language Models : Work on multimodal use cases, combining text, images, and other data formats, to build adaptive, enterprise-ready automation tools.\r\nScalable AI for Enterprises : Address the needs of enterprises by creating AI solutions that can remove 30% of operational expenses through large-scale adoption.\r\nResponsibilities\r\nDesign, implement, and deploy machine learning models focused on agentic workflows and deterministic task execution.\r\nOptimize AI systems for multimodal applications, addressing real-world enterprise challenges.\r\nInnovate on fine-tuning techniques to maximize resource efficiency and improve model performance.\r\nEnsure AI systems are aligned to regulatory policies and deliver consistent business value.\r\nCollaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions.\r\nStay at the cutting edge of AI research, incorporating new advancements into Kognitos' platform.\r\nRequirements\r\nBachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related field.\r\nProven experience in developing and deploying machine learning models in production environments.\r\nExpertise in fine-tuning techniques for large-scale models and optimizing resource usage.\r\nStrong intuition working with LLMs\r\nFamiliarity with multimodal language models and their enterprise applications.\r\nProficiency in Python, TensorFlow, PyTorch, or similar frameworks.\r\nExcellent problem-solving skills and the ability to work in a fast-paced, dynamic\r\nPreferred Qualifications\r\nExperience with agentic workflows and multi-agent systems.\r\nKnowledge of enterprise automation challenges and opportunities.\r\nPrior work in AI for non-consumer use cases, especially in large-scale enterprise environments.\r\nFamiliarity with cloud platforms and distributed computing frameworks.\r\nWhy Join Kognitos?\r\nBe part of a cutting-edge company solving some of AI's hardest problems.\r\nWork on impactful projects in a trillion-dollar hyper-automation market.\r\nCollaborate with a world-class team of engineers and researchers.\r\nContribute to transformational changes in how enterprises operate.\r\nFinal note\r\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\r\nEqual opportunities provider\r\nKognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:12:07.001Z","dateModified":"2026-06-25T01:12:07.001Z","hiringOrganization":{"@type":"Organization","name":"Kognitos","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0bf2c0e76e4e8bba57e1e4ed"},"url":"https://jobsearcher.com/jobs/0bf2c0e76e4e8bba57e1e4ed"}}