DatologyAI's Posts (22)

2025-06-16

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 modelsCompensationAt 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.BenefitsWe 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 paid time off (PTO) policy.Annual $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

2025-06-16

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 our first seasoned Full-Stack engineers who love 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 You6+ 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.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.BenefitsWe 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 paid time off (PTO) policy.Annual $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

2025-06-16

Product Designer

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 RoleAs our first design hire, you’ll lay the groundwork for our design function and shape the way users experience our platform from the ground up.You’ll lead user research, prototype and test core product flows, design data visualizations, and craft intuitive and visually appealing interfaces that simplify complex workflows. You'll work closely with leadership, customers, and partners to build a best-in-class data curation product. This is a rare opportunity to influence product direction at an early stage and make a lasting impact on how users engage with powerful data tools.What You’ll Work OnLead the end-to-end design process for key user-facing components of our data curation platform, from concept to productionCollaborate closely with engineering and research teams to define and execute both long-term strategy and short-term deliverablesCreate wireframes, prototypes, and high-fidelity designs that balance user needs with technical constraintsDevelop intuitive and visually appealing interfaces that simplify complex data operations and workflowsConduct user research, usability testing, and analysis to understand pain points and validate design solutionsMaintain and evolve our emerging design system and style guide to ensure product scalability and consistency.Help establish our design culture as an early design team memberAbout You5+ years of experience designing digital products, with a portfolio showcasing strong UX, UI, and interaction design skillsExperience simplifying complex technical concepts into intuitive user experiencesExcellent communication skills with the ability to articulate design decisions to technical and non-technical stakeholdersProficiency with design tools like Figma and other prototyping softwareComfortable working in an ambiguous, fast-paced startup environmentAbility to balance short-term deliverables with long-term visionExperience designing for technical or enterprise users is a plusSelf-motivated problem solver who can work independently while collaborating effectively with cross-functional teamsKnowledge of front-end technologies such as HTML, CSS is a plus.Experience working as an early designer at a startup is a plusCompensationAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $240,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.BenefitsWe 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 paid time off (PTO) policy.Annual $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

2025-06-16

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 experimentsCompensationAt 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.BenefitsWe 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 paid time off (PTO) policy.Annual $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

2025-06-16

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 modelsCompensationAt 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.BenefitsWe 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 paid time off (PTO) policy.Annual $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

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