Companies 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 for text models and image-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 a Technical Sourcer to help us scale a world-class team of AI researchers and engineers. You'll play a key role in building the early sourcing infrastructure for our company and drive the top-of-funnel strategy for some of our most critical technical roles.
As our first dedicated sourcer, you'll combine creative detective work with strategic thinking to identify specialized technical talent across various channels. Working directly with our leadership team, you'll have the autonomy to experiment with unique approaches while directly impacting our ability to build the team that drives our company's growth.
What You'll Work OnDrive our technical talent acquisition strategy by identifying and engaging relationships with specialized researchers and engineers
Develop creative and data-driven sourcing strategies, thinking beyond traditional methods:
Mine research papers, academic publications, and conference proceedings
Explore open-source contributions, GitHub repositories, and technical blogs
Tap into niche communities, forums, and specialized networks
Craft compelling, personalized outreach and continuously refine messaging based on response analytics
Partner closely with our leadership and engineering teams to translate complex technical requirements into effective search parameters
Build and maintain robust talent pipelines for our most critical roles
Manage the candidate experience from initial contact through screening, including scheduling first-round conversations
Analyze metrics to optimize channels and increase conversion rates throughout the process
Lights up at the challenge of finding that needle-in-a-haystack candidate
2+ years of experience sourcing technical talent, ideally in a startup or fast-paced environment
Previous experience as a Recruiting Coordinator is a plus
Comfortable using sourcing tools like LinkedIn Recruiter, Ashby, Gem, etc.
Excellent written communication and a thoughtful approach to candidate outreach
You have strong judgment and can quickly identify high-signal candidates
Organized, self-motivated, and energized by fast-moving teams and high ownership
At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $100,000 to $130,000.
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 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.
Similar Jobs
What We Do
DatologyAI builds tools to automatically select the best data on which to train deep learning models. Our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. The algorithms that power our tools are modality-agnostic—they’re not limited to text or images—and don’t require labels, making them ideal for realizing the next generation of large deep learning models. Our products allow customers in nearly any vertical to train better models for cheaper.
