{"schemaVersion":"jobsearcher.job.v1","id":"940fe886aaf70ecb160f73d0","url":"https://jobsearcher.com/jobs/940fe886aaf70ecb160f73d0","canonicalUrl":"https://jobsearcher.com/jobs/940fe886aaf70ecb160f73d0","title":"Senior Software Engineer, Machine Learning Platform","description":"# Senior Software Engineer, Machine Learning PlatformAnthropic## Job DescriptionAnthropic is building reliable, interpretable, and steerable AI systems. We are looking for experienced Software Engineers to join our ML Platform team. You will play a critical role in building and scaling the infrastructure that enables our researchers and engineers to develop, train, and deploy state-of-the-art AI models efficiently and safely. This includes MLOps, data pipelines, distributed training, and inference optimization.Responsibilities:- Design, build, and maintain robust and scalable ML infrastructure and tooling.- Develop and optimize data pipelines for training and evaluating large AI models.- Implement and improve systems for distributed training and efficient inference.- Collaborate closely with ML researchers and engineers to understand their needs and provide effective solutions.- Ensure the reliability, performance, and security of our ML platforms.Minimum Qualifications:- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.- 5+ years of experience in software engineering, with a focus on backend systems or infrastructure.- Strong programming skills in Python or Go.Preferred Qualifications:- Experience with MLOps best practices and tools (e.g., Kubeflow, MLflow).- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).- Experience with distributed computing frameworks (e.g., Ray, Spark).- Understanding of ML workflows and common challenges in large-scale model development.## Skills & Tagsml platformmlopsinfrastructurepythongodistributed systemsai safety## Job DetailsFull-timeSan Francisco, California$170k – $270k USDPosted June 22, 2026Expires August 21, 2026 #J-18808-Ljbffr","company":"Aibreakingwire","rawCompany":"aibreakingwire","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-10T00:24:09.716Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Machine Learning Platform","description":"# Senior Software Engineer, Machine Learning PlatformAnthropic## Job DescriptionAnthropic is building reliable, interpretable, and steerable AI systems. We are looking for experienced Software Engineers to join our ML Platform team. You will play a critical role in building and scaling the infrastructure that enables our researchers and engineers to develop, train, and deploy state-of-the-art AI models efficiently and safely. This includes MLOps, data pipelines, distributed training, and inference optimization.Responsibilities:- Design, build, and maintain robust and scalable ML infrastructure and tooling.- Develop and optimize data pipelines for training and evaluating large AI models.- Implement and improve systems for distributed training and efficient inference.- Collaborate closely with ML researchers and engineers to understand their needs and provide effective solutions.- Ensure the reliability, performance, and security of our ML platforms.Minimum Qualifications:- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.- 5+ years of experience in software engineering, with a focus on backend systems or infrastructure.- Strong programming skills in Python or Go.Preferred Qualifications:- Experience with MLOps best practices and tools (e.g., Kubeflow, MLflow).- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).- Experience with distributed computing frameworks (e.g., Ray, Spark).- Understanding of ML workflows and common challenges in large-scale model development.## Skills & Tagsml platformmlopsinfrastructurepythongodistributed systemsai safety## Job DetailsFull-timeSan Francisco, California$170k – $270k USDPosted June 22, 2026Expires August 21, 2026 #J-18808-Ljbffr","datePosted":"2026-07-10T00:24:09.716Z","dateModified":"2026-07-10T00:24:09.716Z","hiringOrganization":{"@type":"Organization","name":"Aibreakingwire","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"940fe886aaf70ecb160f73d0"},"url":"https://jobsearcher.com/jobs/940fe886aaf70ecb160f73d0"}}