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Senior Technical Talent Partner (AI/ML Recruiting)

DatologyAI • Philippines
Relocation
Apply Now

Lead end-to-end recruiting for senior technical roles in AI research, ML engineering, and infrastructure at DatologyAI. Own proactive sourcing, role definition, interview processes, and offer strategy while mentoring the recruiting team. Requires 5+ years of technical recruiting, startup experience, and deep technical fluency to advise hiring managers and close complex offers.

Key Highlights
Own full-cycle recruiting for senior technical roles in AI research, ML engineering, and infrastructure
Proactive sourcing of passive talent, including researchers from top labs and high-growth AI companies
Work closely with founders and technical leaders to shape hiring strategy and candidate experience
Key Responsibilities
Own full-cycle recruiting for senior and specialized technical roles across research, ML engineering, and infrastructure
Proactively source and engage passive talent, including researchers from top labs, PhD programs, and high-growth AI companies
Partner with hiring managers to define roles, calibrate success criteria, and design interview loops
Lead offer strategy, including equity conversations and competitive offer negotiations
Deliver a high-touch candidate experience that aligns with the company’s culture and values
Track pipeline health, identify bottlenecks, and provide data-driven insights to leadership
Build scalable recruiting processes, tools, and playbooks as the team grows
Mentor recruiting teammates and set the standard for hiring excellence
Technical Skills Required
Technical Recruiting AI/ML Talent Acquisition Hiring Process Design
Benefits & Perks
100% covered health benefits (medical, vision, dental)
401(k) plan with 4% company match
Unlimited PTO policy
12 weeks paid parental leave with 6 months WFH flexibility
Annual $2,000 wellness stipend
Annual $1,000 learning and development stipend
Daily lunches and snacks provided
Relocation assistance for employees moving to the Bay Area

Job Description

Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost ( depending on the use case), dramatically increase model performance without increasing the cost of training, and allow smaller models with
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