{"schemaVersion":"jobsearcher.job.v1","id":"ef39766ebc430ccd6165b791","url":"https://jobsearcher.com/jobs/ef39766ebc430ccd6165b791","canonicalUrl":"https://jobsearcher.com/jobs/ef39766ebc430ccd6165b791","title":"Machine Learning Engineer, Bard","description":"# Machine Learning Engineer, BardGoogle## Job DescriptionAs a Machine Learning Engineer on the Bard team, you will be at the forefront of conversational AI development. You'll work on developing and deploying cutting-edge language models that power Bard, Google's experimental conversational AI service. This role involves a blend of research, engineering, and product development, with a focus on creating intuitive, helpful, and safe AI interactions.Responsibilities:- Design, implement, and deploy large-scale machine learning models for natural language understanding and generation.- Collaborate with researchers and product managers to define model architectures, training strategies, and evaluation metrics.- Optimize model performance, efficiency, and scalability for production environments.- Conduct experiments, analyze results, and iterate on model improvements.- Stay up-to-date with the latest advancements in NLP and deep learning.Qualifications:- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.- Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch.- Experience with deep learning models, particularly transformers and large language models (LLMs).- Familiarity with distributed training and cloud computing platforms (e.g., GCP).- Excellent problem-solving and analytical skills.Benefits:- Competitive salary and benefits package.- Opportunity to work on a highly visible and impactful product.- Access to Google's world-class research and infrastructure.- Professional development and growth opportunities.## Skills & Tagsmachine learningnlpllmpythontensorflowconversational ai## Job DetailsFull-timeMountain View, California, USA$160k – $250k USDPosted June 11, 2026Expires August 10, 2026 #J-18808-Ljbffr","company":"Aibreakingwire","rawCompany":"aibreakingwire","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-09T05:20:10.928Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer, Bard","description":"# Machine Learning Engineer, BardGoogle## Job DescriptionAs a Machine Learning Engineer on the Bard team, you will be at the forefront of conversational AI development. You'll work on developing and deploying cutting-edge language models that power Bard, Google's experimental conversational AI service. This role involves a blend of research, engineering, and product development, with a focus on creating intuitive, helpful, and safe AI interactions.Responsibilities:- Design, implement, and deploy large-scale machine learning models for natural language understanding and generation.- Collaborate with researchers and product managers to define model architectures, training strategies, and evaluation metrics.- Optimize model performance, efficiency, and scalability for production environments.- Conduct experiments, analyze results, and iterate on model improvements.- Stay up-to-date with the latest advancements in NLP and deep learning.Qualifications:- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.- Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch.- Experience with deep learning models, particularly transformers and large language models (LLMs).- Familiarity with distributed training and cloud computing platforms (e.g., GCP).- Excellent problem-solving and analytical skills.Benefits:- Competitive salary and benefits package.- Opportunity to work on a highly visible and impactful product.- Access to Google's world-class research and infrastructure.- Professional development and growth opportunities.## Skills & Tagsmachine learningnlpllmpythontensorflowconversational ai## Job DetailsFull-timeMountain View, California, USA$160k – $250k USDPosted June 11, 2026Expires August 10, 2026 #J-18808-Ljbffr","datePosted":"2026-07-09T05:20:10.928Z","dateModified":"2026-07-09T05:20:10.928Z","hiringOrganization":{"@type":"Organization","name":"Aibreakingwire","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ef39766ebc430ccd6165b791"},"url":"https://jobsearcher.com/jobs/ef39766ebc430ccd6165b791"}}