DatologyAI's Posts (8)

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.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 RoleWe are looking for 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.As a Software Engineer - Full Stack at DatologyAI, you will be responsible for:Owning 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 YouThere are a few specific things we’ll be looking for that will help you succeed in this role:Have 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.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

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.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 5 days per week and offer relocation assistance to new employees. We provide visa sponsorship for candidates selected for this role.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.As a Data Infrastructure Engineer at Datology AI, you will be responsible for:Design, 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 YouThere are a few specific things we’ll be looking for that will help you succeed in this role:Have 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 doneWe would love it if candidates have:You've led a Data Engineering / Platform / Infrastructure Team.Experience building ML/DL systems and/or data infrastructure that feeds into training large ML modelsCompensation and BenefitsAt DatologyAI, we are dedicated to ensuring pay fairness and maintaining highly competitive market rates. We also offer a comprehensive benefits package to support our employees' well-being and professional growth:Comprehensive health, dental, and vision insurance for you and your dependents.401(k) plan with a generous 4% company match.Unlimited paid time off (PTO) policy – we encourage employees to take a minimum of 2 weeks per year to rest and recharge.Annual $2,000 wellness stipend to support your physical and mental well-being.Annual $1,000 learning and development stipend to foster continuous growth and skill acquisition.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area to help ease the transitionWe believe in investing in our employees and providing them with the resources they need to thrive both personally and professionally.

Location: Redwood City

Salary range: None - None

Talent Acquisition Lead

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: we are veterans with deep ML expertise from FAIR@MetaAI, MosaicML, Google DeepMind, Apple, Twitter, Snorkel AI, Cruise, and Amazon. 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 5 days per week and offer relocation assistance to new employees.Compensation and BenefitsAt DatologyAI, we are dedicated to ensuring pay fairness and maintaining highly competitive market rates. We also offer a comprehensive benefits package to support our employees' well-being and professional growth:Comprehensive health, dental, and vision insurance for you and your dependents.401(k) plan with a generous 4% company match.Unlimited paid time off (PTO) policy – we encourage employees to take a minimum of 2 weeks per year to rest and recharge.Annual $2,000 wellness stipend to support your physical and mental well-being.Annual $1,000 learning and development stipend to foster continuous growth and skill acquisition.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area to help ease the transitionWe believe in investing in our employees and providing them with the resources they need to thrive both personally and professionally.About the roleWe're looking for an experienced full-time Talent Acquisition Lead to join our core Datology AI team. As a founding member of our People team, you will partner closely with our founders and lead our recruitment efforts across technical and business roles.As a Talent Acquisition Lead, you will:Be the first full-time recruiter at DatologyAI and play a vital role in scaling our organization.Implement and scale end-to-end recruitment processes for all roles, from technical to non-technical roles.Lead the recruitment process, including sourcing, screening, and managing the candidate interview experience.Ensure that the recruitment process is equitable and supports building a diverse and inclusive team.Be the first point of contact for candidates and ensure thorough alignment between new hires and DatologyAI.Update the applicant tracking system (Ashby) with accurate candidate notes and pipeline information.About YouThere are a few specific things we’ll be looking for that will help you succeed in this role:Experience as a full life cycle recruiter at a fast-growing startup with a focus on strong sourcing skills.Minimum of 2 years focused on technical recruiting (recruiting ML talent a plus).Not afraid to be hands-on with sourcing, scheduling, and recruiting top talent.Experience in designing, scaling, and rolling out recruiting processes.Excitement to take ownership of building an entire recruiting function.Uses a data-driven approach and gets excited by meeting and exceeding goals.Possesses emotional intelligence to close candidates with the right balance of consideration, transparency, and drive.Interest in establishing equitable recruiting processes and a desire to go the extra mile to recruit non-traditional candidates.A natural curiosity for the AI industry, specifically around cutting-edge research within the data space.

Location: Redwood City

Salary range: None - None

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