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There have been 4 remote jobs at Paige.AI tagged Senior, Engineer and Software Developer
such as Senior Platform Engineer, Senior Software Engineer AI and Senior Platform Engineer

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Paige.AI


Senior Software Engineer AI

Senior Software Engineer AI


Paige.AI


dev

senior

engineer

digital nomad

dev

senior

engineer

digital nomad

\nPaige is a software company helping pathologists and clinicians make faster, more informed diagnostic and treatment decisions by mining decades of data from the world’s experts in cancer care. We are leading a digital transformation in pathology by leveraging advanced Artificial Intelligence (AI) technology to create value for the oncology clinical team. \n\nPaige is the first company to develop clinical grade AI tools for the pathologist, which resulted in our receiving FDA breakthrough designation for our first product.\n\nWe’re seeking a Senior Software Engineer, AI to join us. In this role you’ll join a team of world-leading experts in machine learning, computer vision and pathology.  You’ll be part of the team that builds solutions for pathologists, clinicians and researchers to accelerate and improve the accuracy of cancer detection, classification and staging. This is an extraordinary opportunity to be part of a high-performing team and to pursue a life-changing mission.  \n\nThis position can be fully remote for U.S. based applicants living outside of the NYC area.\n\nResponsibilities:\n\n\n* Drive development of machine learning tooling and infrastructure to improve the scale and efficiency of machine learning development.\n\n* Identify and evaluate new patterns and technologies to improve performance, maintainability and traceability of our machine learning systems.\n\n* Work closely with scientists as well as engineers to support planning, developing, training and testing machine learning models for the purposes of computational pathology while leveraging and championing software engineering best practices. \n\n* Participate in driving the whole product development life cycle from high uncertainty research and experimentation to deployment in production and maintenance.\n\n* Mentor engineers to foster a culture of technical excellence.\n\n\n\n\nRequirements:\n\n\n* Extensive experience working in a team implementing and evaluating deep neural networks, especially for computer vision tasks. \n\n* Extensive experience in Python development.\n\n* Extensive experience with Machine learning development tooling.\n\n* Extensive experience with modern product development practices, including software testing (e.g. unit testing, regression testing). \n\n* Extensive experience with Agile development methodologies.\n\n* Experience with parallelization, threading and concurrency problems.\n\n* Experience with design patterns, algorithms and data structures.\n\n* Experience with distributed systems.\n\n\n\n\nMinimum qualifications:\n\n\n* Master’s degree in computer science or a related field, or equivalent years of experience  \n\n* 5+ years of industry experience as a software engineer\n\n\n


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Paige.AI


Senior Platform Engineer

Senior Platform Engineer


Paige.AI


senior

engineer

senior

engineer

\nPaige is a software company helping pathologists and clinicians make faster, more informed diagnostic and treatment decisions for patients with cancer by leveraging decades of data from the world’s experts in cancer care. We are leading a digital transformation in pathology with advanced Artificial Intelligence (AI) technology to create value for the oncology clinical team. \n\nPaige is the first company to develop clinical grade AI technology for the pathologist, which resulted in our receiving FDA breakthrough designation for our first product.\n\nWe are seeking a Senior Platform Engineer who has experience building and scaling services in a cloud environment to join our Platform Engineering team. In this role you’ll collaborate with our AI and Software teams to automate and to streamline our production operations and processes. You will have the opportunity to work in a wide variety of areas including but not limited to advancing and pushing existing efforts in the areas of security, configuration management, infrastructure automation, continuous integration, continuous deployment and site reliability engineering.\n\nThis is an extraordinary opportunity to be part of a high-performing team and to pursue a life-changing mission. It will also give you access to some of the world’s most advanced systems architecture while challenging your architecture and integration skills as you help to drive our shift to building cloud-native applications.\n\nThis is a work-from-home position to be based in the United States.\n\nOur Engineering Design Principles\n\n\n* Favor extensibility and modularity over tailored functionality.\n\n* Maximize flexibility and simplicity in an effort to minimize maintenance and operational overhead.\n\n* Favor pragmatism in evaluating fit for purpose over cost.\n\n* Uniformly apply the principle of least privileged access.\n\n* Build in consistency through convention.\n\n\n\n\nAbout You\n\n\n* You have a minimum of 5 to 10 years of experience in Platform Engineering practicing some form of Agile and DevOps.\n\n* You have a minimum of 4 years of hands-on experience with building and scaling AWS infrastructure.\n\n* You have a minimum of 3 years of hands-on experience automating microservice deployments on Kubernetes.\n\n* You have a minimum of 5 years of hands-on experience with configuration management tools such as Terraform and Salt.\n\n* You have a minimum of 5 years of hands-on experience managing CI/CD tools such as GitLab or GitHub.\n\n* You have a minimum of 5 years of hands-on experience with distributed source code controls systems such as Git.\n\n* You approach infrastructure architecture from a design-driven standpoint with security, reliability and scalability as its core.\n\n* You may have a bias, but you are OS architecture agnostic and are equally comfortable administering either Linux or Windows.\n\n* You are a creative engineer who enjoys implementing systems for complex problems to autonomously understand, interact with and adapt to their end users.\n\n* You enjoy working on cross-disciplinary and agile teams.\n\n* You are fluent in at least 1 object-oriented language.\n\n* You are fluent in some form of scripting language (Python, Unix shell, Powershell).\n\n* You hold a Masters’ degree in computer science or engineering, or equivalent years of experience.\n\n* You have working rights for the USA.\n\n\n\n\nHighly Desirable\n\n\n* Experience with monitoring tools such as DataDog or New Relic.\n\n* Experience with log ingestion and data analytics tools such as Sumo Logic or Splunk.\n\n* Experience with AWS security and auditing tools such as IAM, Config, CloudWatch, CloudTrail and GuardDuty.\n\n* Experience supporting, administering or architecting multi-tenant SaaS applications in AWS.\n\n\n


See more jobs at Paige.AI

Paige.AI


Senior Software Engineer AI

Senior Software Engineer AI


Paige.AI


dev

senior

engineer

digital nomad

dev

senior

engineer

digital nomad

This job post is archived and the position is probably filled. Please do not apply.
\nPaige is a software company helping pathologists and clinicians make faster, more informed diagnostic and treatment decisions by mining decades of data from the world’s experts in cancer care. We are leading a digital transformation in pathology by leveraging advanced Artificial Intelligence (AI) technology to create value for the oncology clinical team. \n\nPaige is the first company to develop clinical grade AI tools for the pathologist, which resulted in our receiving FDA breakthrough designation for our first product.\n\nWe’re seeking a Senior Software Engineer, AI to join us. In this role you’ll join a team of world-leading experts in machine learning, computer vision and pathology.  You’ll be part of the team that builds solutions for pathologists, clinicians and researchers to accelerate and improve the accuracy of cancer detection, classification and staging. This is an extraordinary opportunity to be part of a high-performing team and to pursue a life-changing mission.  \n\nThis position can be fully remote for U.S. based applicants living outside of the NYC area.\n\nResponsibilities:\n\n\n* Drive development of machine learning tooling and infrastructure to improve the scale and efficiency of machine learning development.\n\n* Identify and evaluate new patterns and technologies to improve performance, maintainability and traceability of our machine learning systems.\n\n* Work closely with scientists as well as engineers to support planning, developing, training and testing machine learning models for the purposes of computational pathology while leveraging and championing software engineering best practices. \n\n* Participate in driving the whole product development life cycle from high uncertainty research and experimentation to deployment in production and maintenance.\n\n* Mentor engineers to foster a culture of technical excellence.\n\n\n\n\nRequirements:\n\n\n* Extensive experience working in a team implementing and evaluating deep neural networks, especially for computer vision tasks. \n\n* Extensive experience in Python development.\n\n* Extensive experience with Machine learning development tooling.\n\n* Extensive experience with modern product development practices, including software testing (e.g. unit testing, regression testing). \n\n* Extensive experience with Agile development methodologies.\n\n* Experience with parallelization, threading and concurrency problems.\n\n* Experience with design patterns, algorithms and data structures.\n\n* Experience with distributed systems.\n\n\n\n\nMinimum qualifications:\n\n\n* Master’s degree in computer science or a related field, or equivalent years of experience  \n\n* 5+ years of industry experience as a software engineer\n\n\n


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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
Apply for this position

Paige.AI


Senior Platform Engineer

Senior Platform Engineer


Paige.AI


senior

engineer

senior

engineer

This job post is archived and the position is probably filled. Please do not apply.
\nPaige is a software company helping pathologists and clinicians make faster, more informed diagnostic and treatment decisions for patients with cancer by leveraging decades of data from the world’s experts in cancer care. We are leading a digital transformation in pathology with advanced Artificial Intelligence (AI) technology to create value for the oncology clinical team. \n\nPaige is the first company to develop clinical grade AI technology for the pathologist, which resulted in our receiving FDA breakthrough designation for our first product.\n\nWe are seeking a Senior Platform Engineer who has experience building and scaling services in a cloud environment to join our Platform Engineering team. In this role you’ll collaborate with our AI and Software teams to automate and to streamline our production operations and processes. You will have the opportunity to work in a wide variety of areas including but not limited to advancing and pushing existing efforts in the areas of security, configuration management, infrastructure automation, continuous integration, continuous deployment and site reliability engineering.\n\nThis is an extraordinary opportunity to be part of a high-performing team and to pursue a life-changing mission. It will also give you access to some of the world’s most advanced systems architecture while challenging your architecture and integration skills as you help to drive our shift to building cloud-native applications.\n\nThis is a work-from-home position to be based in the United States.\n\nOur Engineering Design Principles\n\n\n* Favor extensibility and modularity over tailored functionality.\n\n* Maximize flexibility and simplicity in an effort to minimize maintenance and operational overhead.\n\n* Favor pragmatism in evaluating fit for purpose over cost.\n\n* Uniformly apply the principle of least privileged access.\n\n* Build in consistency through convention.\n\n\n\n\nAbout You\n\n\n* You have a minimum of 5 to 10 years of experience in Platform Engineering practicing some form of Agile and DevOps.\n\n* You have a minimum of 4 years of hands-on experience with building and scaling AWS infrastructure.\n\n* You have a minimum of 3 years of hands-on experience automating microservice deployments on Kubernetes.\n\n* You have a minimum of 5 years of hands-on experience with configuration management tools such as Terraform and Salt.\n\n* You have a minimum of 5 years of hands-on experience managing CI/CD tools such as GitLab or GitHub.\n\n* You have a minimum of 5 years of hands-on experience with distributed source code controls systems such as Git.\n\n* You approach infrastructure architecture from a design-driven standpoint with security, reliability and scalability as its core.\n\n* You may have a bias, but you are OS architecture agnostic and are equally comfortable administering either Linux or Windows.\n\n* You are a creative engineer who enjoys implementing systems for complex problems to autonomously understand, interact with and adapt to their end users.\n\n* You enjoy working on cross-disciplinary and agile teams.\n\n* You are fluent in at least 1 object-oriented language.\n\n* You are fluent in some form of scripting language (Python, Unix shell, Powershell).\n\n* You hold a Masters’ degree in computer science or engineering, or equivalent years of experience.\n\n* You have working rights for the USA.\n\n\n\n\nHighly Desirable\n\n\n* Experience with monitoring tools such as DataDog or New Relic.\n\n* Experience with log ingestion and data analytics tools such as Sumo Logic or Splunk.\n\n* Experience with AWS security and auditing tools such as IAM, Config, CloudWatch, CloudTrail and GuardDuty.\n\n* Experience supporting, administering or architecting multi-tenant SaaS applications in AWS.\n\n\n


See more jobs at Paige.AI

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
Apply for this position
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