DatologyAI's Posts (28)

Software Engineer, Full Stack

About the CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results fortext modelsandimage-text models.We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. We're rapidly scaling our team and computing resources to revolutionize data curation across modalities.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe are looking for a seasoned Full-Stack engineer who loves building new products in an iterative and fast-moving environment. In this role, you will build software from the ground up to solve critical bottlenecks for DatologyAI customers and internally. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions.You will contribute to developing the core product that customers use for curating their datasets and the visualizations around it, as well as the internal tooling that our team uses daily to develop the core product. You will have a broad impact on the technology, product, and our company's culture.What You'll Work OnOwning the full product development lifecycle for customer-facing data curation products as well as the new internal infrastructure and product experiences.Talking to customers and internal stakeholders to understand their problems and design solutions to address them.Collaborating with a cross-functional team of engineers, researchers, designers, etc to bring new features and research capabilities to our customers.Ensure our products and systems are reliable, secure, and worthy of our customers' trust.About You5+ years of experienceHave meaningful experience with leading and building production backend and/or full-stack experiences that deliver on major product initiativesProficiency in Python, JavaScript/TypeScript, React, and other web technologiesCare deeply about quality, functionality, and the humans we’re communicating to by sweating the details, down to the last page request.Experience maintaining a high-quality bar for design, correctness, and testing.Have prior experience in ML/AI (preferred but not required)Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeedOwn problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Don’t meet every single requirement?We still encourage you to apply. If you’re excited about our mission and eager to learn, we want to hear from you!CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $250,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.We offer a comprehensive benefits package to support our employees' well-being and professional growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyAnnual $2,000 wellness stipend.Annual $1,000 learning and development stipend.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area.

Location: Redwood City

Salary range: None - None

Software Engineer, Infrastructure

About the CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results fortext modelsandimage-text models.We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. We're rapidly scaling our team and computing resources to revolutionize data curation across modalities.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe're looking for an experienced Infrastructure Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our data infrastructure capabilities, including multi-cloud support and support for various deployment models, as well as training and inference infrastructure. You will have a broad impact on the technology, product, and our company's culture.What You'll Work OnDesign and build the development and production platforms that power our products, enabling reliability and security at scaleArchitect, build, and deploy our core infrastructure while supporting multiple cloud providers and various deployment modelsAccelerate company productivity by empowering your fellow engineers & teammates with excellent tooling and systems, providing a best-in-case experiencePartner with researchers and engineers to bring new features and research capabilities to our customersAbout YouHave meaningful experience in spearheading and constructing large-scale infrastructureProficiency in bash, Kubernetes, Python, and/or Terraform or similar technologiesHave experience working with AWS, other cloud platforms such as Azure or GCP and/or on-prem environmentsHave expertise in debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaksTake pride in building and operating scalable, reliable, secure systemsHave a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeedOwn problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job doneWe would love it if you had:Built out data infrastructure from, or nearly from, scratch at a fast-growing startup.Experience building ML/DL infrastructure and/or data infrastructure that feeds into training large ML modelsDon’t meet every single requirement?We still encourage you to apply. If you’re excited about our mission and eager to learn, we want to hear from you!CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $250,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.We offer a comprehensive benefits package to support our employees' well-being and professional growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyAnnual $2,000 wellness stipend.Annual $1,000 learning and development stipend.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area.

Location: Redwood City

Salary range: None - None

Machine Learning Engineer

About the CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results fortext modelsandimage-text models.We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. We're rapidly scaling our team and computing resources to revolutionize data curation across modalities.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe're looking for an experienced Machine Learning Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions.You will contribute to developing our core product, starting from the main data curation pipeline. These are key components of our stack that allow us to process customer data and apply state of the art research for identifying the most informative data points in large-scale datasets. You will have a broad impact over the technology, product, and our company's culture.What You'll Work OnArchitect, build, and deploy the ML systems and services that power our data curation platformDesign and implement large-scale data pipelines that curate datasets and make them ready for training cutting-edge modelsPartner with researchers and engineers to bring new features and research capabilities to our customersEnsure that our systems are reliable, secure, and worthy of our customers' trustAbout You4+ years of experienceHave meaningful experience with leading and building production ML systems and platforms that deliver on major product initiatives.Have a strong belief in the criticality of high-quality data and are highly motivated to work with the associated challengesHave experience and evidence of reading, understanding, and implementing ML research papersProficiency in Python and in the most commonly used tools of the ML & Data Science ecosystemExperience maintaining a high-quality bar for design, correctness, and testing.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeedOwn problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job doneExperience conducting open-ended research to improve the quality of collected data and running small scale ML experimentsDon’t meet every single requirement?We still encourage you to apply. If you’re excited about our mission and eager to learn, we want to hear from you!CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $250,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.We offer a comprehensive benefits package to support our employees' well-being and professional growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyAnnual $2,000 wellness stipend.Annual $1,000 learning and development stipend.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area.

Location: Redwood City

Salary range: None - None

Software Engineer, Data Infrastructure

About the CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results fortext modelsandimage-text models.We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. We're rapidly scaling our team and computing resources to revolutionize data curation across modalities.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe're looking for an experienced Data Platform Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our core product and data platform. These are key components of our stack that allow us to process customer data and apply state of the art research for identifying the most informative data points in large-scale datasets. You will have a broad impact over the technology, product, and our company's culture. We provide visa sponsorship for candidates selected for this role.What You'll Work OnDesign, build and maintain highly scalable data processing solutions, while ensuring scalability, reliability, and securityArchitect, build, and deploy the back-end systems and services that power our data curation platformPartner with researchers and engineers to bring new features and research capabilities to our customersEnsure that our systems are reliable, secure, and worthy of our customers' trustAbout YouHave meaningful experience with leading and building production data systems to deliver on major product initiatives.You have built and managed highly scalable data processing solutions (e.g. Spark, Flink), data lakes or warehouses (e.g. Snowflake, Hive), authored queries (SQL), distributed storage systems (e.g., HDFS, S3), used workflow management (e.g. Airflow, Dagster), and have experience maintaining the infra that supports these.Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.Expertise with any of ETL schedulers such as Airflow, Dagster, or similar frameworks.Experience maintaining a high quality bar for design, correctness, and testing.Take pride in building and operating scalable, reliable, secure systemsHave a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeedOwn problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job doneYou have experience being the technical lead of a Data Engineering / Platform / Infrastructure Team.Experience building ML/DL systems and/or data infrastructure that feeds into training large ML modelsDon’t meet every single requirement?We still encourage you to apply. If you’re excited about our mission and eager to learn, we want to hear from you!CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $250,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.We offer a comprehensive benefits package to support our employees' well-being and professional growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyAnnual $2,000 wellness stipend.Annual $1,000 learning and development stipend.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area.

Location: Redwood City

Salary range: None - None

Software Engineer, Machine Learning Infrastructure

About the CompanyCompanies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results fortext modelsandimage-text models.We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. We're rapidly scaling our team and computing resources to revolutionize data curation across modalities.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe’re looking for seasoned ML Infrastructure engineers with experience designing, building, and maintaining training infrastructure for our in-house ML research and validation efforts and the core infrastructure for running the curation pipeline that we deliver to our customers. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions.You will contribute to developing core infrastructure components that impact our ability to deliver, scale, and deploy our product. These are key components of our stack that allow us to process customer data and apply state-of-the-art research to identify the most informative data points in large-scale datasets. You will have a broad impact on the technology, product, and our company's culture.What You'll Work OnArchitect, build and maintain the infrastructure that ensures highly available GPU workloads for training-purposesTroubleshoot and resolve issues across GPU resources, networking, OS, drivers, and cloud environments, automate detection and recovery of such issuesDesign, build, and maintain the infrastructure that powers our data curation product.Partner with researchers and engineers to bring new features and research capabilities to our customersEnsure that our infrastructure and systems are reliable, secure, and worthy of our customers' trust.About YouThere are a few specific things we’ll be looking for that will help you succeed in this role:5+ years of experienceHave meaningful experience with leading and building production ML infrastructure and platforms that deliver on major product initiatives.Proficiency in Python and in the most commonly used tools in the infrastructure space: Linux, Kubernetes, Terraform / Pulumi, etcStrong knowledge of hardening cloud native and especially K8s workloads.Experience maintaining a high-quality bar for design, correctness, and testing.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeedOwn problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Experience running data-processing workloads in k8s (e.g spark on k8s)Don’t meet every single requirement?We still encourage you to apply. If you’re excited about our mission and eager to learn, we want to hear from you!CompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $250,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.We offer a comprehensive benefits package to support our employees' well-being and professional growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyAnnual $2,000 wellness stipend.Annual $1,000 learning and development stipend.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area.

Location: Redwood City

Salary range: None - None

1 2 3 ... 6