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Technical Recruiter

DatologyAIRedwood CityOnsite

About the Company


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 Role


DatologyAI is rapidly scaling our recruiting team and looking for a skilled Technical Recruiter to fuel this growth. As a Technical Recruiter, you’ll own the full-cycle process and partner directly with company leaders to build world-class teams of engineers and researchers. This role is for someone who is a builder at heart and energized by the chance to shape the recruiting function from the ground up.

What You'll Work On


  • Own the full-cycle recruiting process for technical roles
  • Partner with key stakeholders and leadership to deeply understand hiring needs and create effective search strategies.
  • Build and nurture relationships with candidates, ensuring a thoughtful and personalized candidate experience.
  • Drive structured interview processes, ensuring consistency, fairness, and a high hiring bar.
  • Develop creative sourcing strategies alongside the team to uncover specialized talent.
  • Use data and metrics to optimize the hiring funnel, improve conversion rates, and inform strategic decisions.
  • Build scalable recruiting processes and best practices as the company grows.

About You


  • 4+ years of technical recruiting experience, ideally building teams in AI, ML, or other deep tech fields in a startup or fast-paced environment.
  • Proven success in closing senior-level and niche technical talent in competitive markets.
  • Strong communicator who can influence, build trust, and drive alignment with stakeholders at all levels
  • Energized by ambiguity and high ownership, with a bias toward speed and results

Compensation


At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The base salary for this position ranges from $120,000 to $170,000.

  • 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 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.

Life at DatologyAI

Thrive Here & What We Value1. Fastgrowing startup with a focus on innovation and growth | 2. Collaborative work environment where everyone is encouraged to contribute ideas and take ownership of their work | 3. Emphasis on worklife balance, with flexible hours and remote work options available | 4. Opportunities for professional development and career advancement within the company</s> | 1. Fastpaced and iterative environment | 2. Collaborative team culture | 3. Focus on quality, functionality, and human communication | 4. Humble attitude and eagerness to help colleagues | 5. Desire to do whatever it takes to make the team succeed</s> | 1. Collaborative and supportive work environment | 2. Emphasis on innovation and creativity | 3. Focus on customer satisfaction and success | 4. Opportunities for career growth and professional development | 5. Flexible work arrangements and worklife balance</s> | 1. Dedicated to rewarding talent with highly competitive salary and significant equity. | 2. Rapidly scaling team and computing resources to revolutionize data curation across modalities. | 3. Partnering closely with founders on the direction of our product and driving businesscritical technical decisions. | 4. Contributing to developing core products, starting from main data curation pipeline. | 5. Ensuring that systems are reliable, secure, and worthy of customers' trust.</s> | 1. Collaborative and supportive team environment | 2. Focus on innovation and staying ahead of industry trends | 3. Emphasis on worklife balance and flexibility | 5. Competitive salary and significant equity.</s> | 1. Collaborative environment where scientists work closely with engineers, talk to customers, and shape the product vision. | 2. Dedicated to rewarding talent with highly competitive salary and significant equity. | 3. Focus on realworld needs rather than conference reviewers and academic benchmarks. | 4. Emphasis on adaptability, communication, and collaboration skills in a startup environment.</s>
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