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, 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

2025-06-16

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)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

Forward Deployed AI 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 Forward Deployed AI Engineer to be an early member of our customer-facing technical team. In this role, you’ll work closely with our most strategic customers to understand their data curation needs and ensure they can successfully deploy and integrate DatologyAI’s platform. You will be responsible for designing and implementing scalable solutions tailored to customer needs in cloud, on-prem, or hybrid environments. You’ll troubleshoot complex issues across data pipelines, model training workflows, and infrastructure, ensuring our technology delivers maximum impact. As an early hire in this function, you will help define best practices for deployment, automation, and support while shaping how we work with customers at scale.What You’ll Work OnEmbed deeply with strategic customers to understand their data curation needs, business challenges, and technical requirements in detail.Prepare detailed scopes of work and project plans for proof-of-concept prototypes and full production deployments.Work hands-on with customers' technical teams as a technical expert and trusted advisor to drive projects to completion on their infrastructure.Troubleshoot and resolve technical challenges related to data pipelines, model training, and infrastructure scalability.Collaborate closely with GTM, Engineering, and Research teams to ensure seamless customer experiences, project success, and actionable product feedback.Provide hands-on support, training, and documentation to enable customer success.About YouHave 4+ years of experience in software or customer engineering roles, with a strong emphasis on customer-facing engagements.Have a track record of rapidly prototyping ideas and a willingness to work iteratively with your customers to deliver the right solution that solves their problem.Strong programming skills in Python (or equivalent), with experience in data processing frameworks (e.g., Spark, Ray, etc).Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).Experience working with ML/AI workflows, data pipelines, or large-scale data systems is a plus.Ability to troubleshoot complex systems and work in fast-paced, customer-facing environments.Excellent communication skills with the ability to translate technical concepts for diverse audiences.Willingness to travel occasionally to customer sites if required.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

2024-09-29

Research Scientist

About UsCompanies 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.Following our $11.65M Seed round last September, we've raised a $46M Series A led by Felicis Ventures. Our investors include Radical Ventures, Amplify Partners, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil.With over $57.5M in total funding, we're rapidly scaling our team and compute resources to revolutionize data curation across modalities. Join us in pushing the boundaries of what's possible in AI!Learn more about the companyhere.This role is based in Redwood City, CA. We are in person 4 days a week and offer relocation assistance to new employees. We provide visa sponsorship for candidates selected for this role.About the RoleAs a Research Scientist at DatologyAI, you will conduct research investigating how intervening on training data can improve the quality and shape the behavior of deep learning models.Transform messy literature into practical improvements.The research literature is vast, rife with ambiguity, and constantly evolving. You will use your skills as a scientist to source, vet, implement, and improve promising ideas from the literature and of your own creation.Conduct science driven by real-world needs.At DatologyAI, we understand that conference reviewers and academic benchmarks don’t always incentivize the most impactful research. Your research will be guided by concrete customer needs and product improvements.Science is more than just experiments.We expect our Research Scientists to collaborate closely with engineers, talk to customers, and shape the product vision.Nobody knows how to do your work better than you.We believe that scientists do their best work when they have the autonomy to pursue problems in the manner they prefer, and we will ensure that you are equipped with the context and resources you need to succeed.About YouIdeal candidates will have experience with at least one of the following:We would like to hire researchers with practical experience and/or publications related any of the following research topicsData researchData pruning/curationCurriculum learningSynthetic data generationDataset distillationEffects of training data on model behaviorEmbedding modelsSemantic searchEfficient MLWe would like to hire researchers with practical experience and/or publications related to training large vision (especially video), language, and multimodal models.Candidates should also have the following qualifications:Strong understanding of the fundamentals of deep learning.Sufficient software engineering + deep learning framework (PyTorch or a willingness to learn PyTorch) skills to conduct large-scale research experiments and build production prototypes.Demonstrated track record of success in deep learning research, whether papers, tools, or other research artifacts.We would love it if candidates have:Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.)Experience building + shipping ML productsCandidates do not need a PhD or extensive publications. Some of the best researchers we’ve worked with have had no formal training in machine learning, and obtained all of their experience by working in industry and building products. We believe that adaptability, combined with exceptional communication and collaboration skills are the most important ingredients for successful research in a startup environment.Compensation and BenefitsAt DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $150,000 to $250,000.The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.We also 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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