Senior (or Staff) Technical Recruiter

About Us:

At Gretel, our mission is to build the world’s first developer platform for synthetic data. Our platform solves the data bottleneck problem for developers, data scientists, and AI/ML researchers. Gretel's APIs automatically fine-tune AI models to generate synthetic data on-demand while protecting privacy and maintaining the utility and accuracy of the original data. Designed by developers for developers, Gretel’s APIs make it simple to generate anonymized and safe synthetic data so you can preserve privacy and innovate faster.  

We’re a highly collaborative remote-first company with employees across the US & Canada. Our innovative and transparent culture offers employees the autonomy, tools, and trust to act like owners. We’re disrupting how organizations innovate with data and are looking for a talented Technical Recruiter with experience recruiting Research Scientists, Applied Scientists, or Machine Learning Engineers to join our mission! 

Job Summary:

We are seeking a dynamic and experienced full-cycle Senior Technical Recruiter to join our team and support our Applied Science and Machine Learning organization. This role is pivotal in shaping the future of our company by attracting and hiring top talent in the fields of applied science, machine learning, data science, and related disciplines. If you are passionate about technology and have proven experience in this area, consider joining our mission of creating the platform for safe, AI-ready data..

Responsibilities:

• Collaborate with hiring managers to understand technical requirements and desired skills for various roles within the Applied Science and Machine Learning team.

• Develop and implement creative sourcing strategies to identify and attract top talent through various channels including sourcing, online, referrals.

• Manage the full recruitment lifecycle from initial candidate engagement to offer negotiations and onboarding.

• Conduct thorough interviews to assess candidates' technical skills, behavioral strengths and weaknesses, and potential contributions to the team.

• Build and maintain a strong pipeline of passive candidates for current and future hiring needs.

• Stay up to date with industry trends and advancements in machine learning and applied science to effectively communicate with candidates and hiring managers.

• Provide an excellent candidate experience through transparent communication and prompt feedback.

• Work closely with PeopleOps to streamline hiring processes and ensure compliance with company policies and regulations.

• Track and report key recruitment metrics to measure the effectiveness of recruitment strategies and make data driven improvements.

Requirements:

• 5+ years of experience in technical recruitment, with at least 2 years of direct experience related to applied science, AI research, or machine learning.

• Understanding of machine learning, data science, and software development, including familiarity with relevant technologies and terminologies.

• Proven track record of successfully filling technical roles with high quality candidates.

• Excellent sourcing skills and the ability to engage passive candidates.

• Strong interpersonal and communication skills with the ability to build relationships with candidates and hiring teams.

• Outstanding organizational and time management skills with the ability to manage multiple priorities.

• Experience using Applicant Tracking Systems (ATS), LinkedIn Recruiter and other recruitment tools.

• Ability to work independently and as part of a remote, geographically distributed team in a fast paced, evolving environment.

How to Apply:

If you’re excited about the opportunity and meet the qualifications, please apply directly to the job through our careers site or Linkedin to ensure we can properly manage the pipeline. Any applications submitted through a different channel (i.e. in a direct message to a team member) will not be considered.