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Talent Acquisition Lead
2 weeks ago
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: we are veterans with deep ML expertise from FAIR[redacted], 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 company here.
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 Benefits
At 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 transition
About the role
We'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.
There 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.
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