{"schemaVersion":"jobsearcher.job.v1","id":"774cf619cd3c7723bfaf372b","url":"https://jobsearcher.com/jobs/774cf619cd3c7723bfaf372b","canonicalUrl":"https://jobsearcher.com/jobs/774cf619cd3c7723bfaf372b","title":"Senior Software Engineer, Machine Learning Platform","description":"About the roleChime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently.As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You'll work at the intersection of distributed systems, cloud infrastructure, and applied machine learning.This role focuses on building robust foundations that allow ML teams to move quickly while maintaining reliability, governance, and cost efficiency.The base salary offered for this role and level of experience will begin at $187,000.00 and goes up to $259,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.\r\nIn this role, you can expect to\r\nDesign, build, and operate scalable ML infrastructure on AWS\r\nDevelop distributed training and batch processing systems using Ray\r\nBuild and maintain infrastructure-as-code using Terraform\r\nSupport and evolve the feature store and feature pipelines\r\nDevelop data ingestion and streaming systems (e.g., Kinesis, Kafka, Flink, Spark, or similar technologies)\r\nImprove CI/CD workflows for ML models and platform components\r\nEnhance observability, reliability, and cost visibility across ML workloads\r\nPartner closely with Data Science and ML Engineering teams to improve developer experience\r\nContribute to platform architecture decisions and technical roadmaps\r\nParticipate in on-call rotations to support production systems\r\nTo thrive in this role, you have\r\n5+ years of experience in ML infrastructure, platform engineering, or production ML systems\r\nKnowledge of the machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment\r\nExperience with distributed systems, cloud computing, or large-scale data processing\r\nStrong foundation in computer science and software engineering principles\r\nDeeply interested in the impact and evolution of advanced AI technologies\r\nHands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code\r\nExperience with containerization technologies such as Docker and Kubernetes, and orchestration systems\r\nKnowledge of cloud platforms such as AWS and distributed computing frameworks such as Spark and Ray\r\nExperience with GPU programming(CUDA) and GPU costs/optimization\r\nStrong programming skills in Python, Go, Scala, Java or similar languages\r\nFamiliarity with infrastructure-as-code (e.g., Terraform, CloudFormation)\r\nSolid understanding of software engineering fundamentals (testing, version control, code review, observability)\r\nNice-to-have\r\nExperience with distributed compute frameworks such as Ray\r\nExperience building or operating a feature store\r\nExperience with real-time ML systems or model serving\r\nFamiliarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming, etc.)\r\nExperience supporting ML lifecycle workflows (training, evaluation, deployment, monitoring)\r\nKnowledge of ML experimentation platforms and model governance practices\r\n#LI-GC1 #LI-SFA little about usAt Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank*-on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.We know that to achieve our mission, we must earn and keep people's trust-so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall-our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.Because if we don't-who will?*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.\r\nWhat we offer for our full-time, regular employeesOur in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.\r\nIn-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute\r\nCompetitive salary based on experience\r\n401k match plus great medical, dental, vision, life, and disability benefits\r\nGenerous vacation policy and company-wide Chime Days, bonus company-wide paid days off\r\n1% of your time off to support local community organizations of your choice\r\nAnnual wellness stipend to use towards eligible wellness related expenses\r\nUp to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents\r\nAccess to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.\r\nIn-person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!\r\n♥ A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progressWe know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.","company":"Chime Financial","rawCompany":"chime financial","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-29T01:10:57.574Z","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":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Machine Learning Platform","description":"About the roleChime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently.As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You'll work at the intersection of distributed systems, cloud infrastructure, and applied machine learning.This role focuses on building robust foundations that allow ML teams to move quickly while maintaining reliability, governance, and cost efficiency.The base salary offered for this role and level of experience will begin at $187,000.00 and goes up to $259,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.\r\nIn this role, you can expect to\r\nDesign, build, and operate scalable ML infrastructure on AWS\r\nDevelop distributed training and batch processing systems using Ray\r\nBuild and maintain infrastructure-as-code using Terraform\r\nSupport and evolve the feature store and feature pipelines\r\nDevelop data ingestion and streaming systems (e.g., Kinesis, Kafka, Flink, Spark, or similar technologies)\r\nImprove CI/CD workflows for ML models and platform components\r\nEnhance observability, reliability, and cost visibility across ML workloads\r\nPartner closely with Data Science and ML Engineering teams to improve developer experience\r\nContribute to platform architecture decisions and technical roadmaps\r\nParticipate in on-call rotations to support production systems\r\nTo thrive in this role, you have\r\n5+ years of experience in ML infrastructure, platform engineering, or production ML systems\r\nKnowledge of the machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment\r\nExperience with distributed systems, cloud computing, or large-scale data processing\r\nStrong foundation in computer science and software engineering principles\r\nDeeply interested in the impact and evolution of advanced AI technologies\r\nHands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code\r\nExperience with containerization technologies such as Docker and Kubernetes, and orchestration systems\r\nKnowledge of cloud platforms such as AWS and distributed computing frameworks such as Spark and Ray\r\nExperience with GPU programming(CUDA) and GPU costs/optimization\r\nStrong programming skills in Python, Go, Scala, Java or similar languages\r\nFamiliarity with infrastructure-as-code (e.g., Terraform, CloudFormation)\r\nSolid understanding of software engineering fundamentals (testing, version control, code review, observability)\r\nNice-to-have\r\nExperience with distributed compute frameworks such as Ray\r\nExperience building or operating a feature store\r\nExperience with real-time ML systems or model serving\r\nFamiliarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming, etc.)\r\nExperience supporting ML lifecycle workflows (training, evaluation, deployment, monitoring)\r\nKnowledge of ML experimentation platforms and model governance practices\r\n#LI-GC1 #LI-SFA little about usAt Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank*-on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.We know that to achieve our mission, we must earn and keep people's trust-so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall-our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.Because if we don't-who will?*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.\r\nWhat we offer for our full-time, regular employeesOur in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates.\r\nIn-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute\r\nCompetitive salary based on experience\r\n401k match plus great medical, dental, vision, life, and disability benefits\r\nGenerous vacation policy and company-wide Chime Days, bonus company-wide paid days off\r\n1% of your time off to support local community organizations of your choice\r\nAnnual wellness stipend to use towards eligible wellness related expenses\r\nUp to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents\r\nAccess to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.\r\nIn-person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!\r\n♥ A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progressWe know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.","datePosted":"2026-07-29T01:10:57.574Z","dateModified":"2026-07-29T01:10:57.574Z","hiringOrganization":{"@type":"Organization","name":"Chime Financial","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"774cf619cd3c7723bfaf372b"},"url":"https://jobsearcher.com/jobs/774cf619cd3c7723bfaf372b"}}