Technical Recruiter, Machine Learning
4 weeks ago
Your New Role and Team
Our Talent team is looking to hire a Technical Recruiter for Machine Learning (ML). Reporting to the Director of Talent, you’ll contribute comprehensive hiring support through use of recruiting systems, full-cycle processes, AI conferences, and university hiring initiatives.
The best candidates for our Technical Recruiter role have a passion for recruiting and hands-on experience with sourcing talent for machine learning research and engineering jobs. Ultimately, you’ll be a valued resource as you manage the hiring process for AI-centric roles that will bring human-like intelligence to general-purpose robots.
Our Success Criteria- Bring hands-on experience in full-cycle recruitment, job posting, interviewing, sourcing passive candidates, and campus recruiting activities for ML talent
- Gain cutting edge career experience as you recruit for industry-leading ML roles, some of which have never existed before
- Achieve company-wide visibility as you partner with leaders to fill mission critical positions and build talent networks for future company talent growth
- Expand your sourcing experience as you use social media, search, conference, and campus networks to build our talent pipeline
- Tap into your mentorship skills as you document, communicate, and coach our processes to support new hires on the Talent team
- 5+ years of experience in recruitment, sourcing, or staffing roles
- 2+ years of experience recruiting for ML, Data Science, or related AI positions
- Experience sourcing technical candidates using professional platforms (e.g. Github, Stack Overflow, Kaggle, Toptal), social media channels, and resume databases
- Track record of finding high-caliber candidates for roles that range from entry to manager-level
- Well-tested knowledge of different interview techniques, evaluation methods, and full-cycle recruiting workflows
- Extensive experience managing recruitment workflows through Applicant Tracking Systems (ATS)
- Ability to quickly understand the requirements and responsibilities of different roles within an organization and match talent to them effectively
- Deep knowledge and understanding of machine learning concepts and technologies
- Proficient in conducting technical screenings to assess candidates' ML expertise
- Expert-level ability to communicate effectively and build relationships with candidates and stakeholders
- Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems
- Motivated and passionate about showcasing our career opportunities
- Optimistic listening and conflict resolution capabilities
- Demonstrated ability to influence others without authority
- Eager to take on new challenges with tenacity and positivity
- Patience, persistence, and attention to detail
- Excited to share the mission and vision of Sanctuary AI, in every candidate interaction
Working at Sanctuary AI
Sanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. In 2023, Sanctuary AI moved into a state-of-the-art office facility and has been recognized by LinkedIn as a Top Startup company.
Benefits
Full time (non co-op) employees enjoy medical/dental/vision coverage, life insurance, wellness programs, stock options, paid time off (3 weeks vacation accrued annually, paid statutory holidays, paid statutory sick leave, and statutory parental leave), scheduling and worksite flexibility by role, and more.
About Sanctuary AI
Founded in 2018 by Geordie Rose, Suzanne Gildert, Olivia Norton, and Ajay Agrawal, Sanctuary AI is a Vancouver, Canada-based company. Sanctuary AI is on a mission to create the world’s first human-like intelligence in general-purpose robots that will help us work more safely, efficiently, and sustainably. And in the not-too-distant future, help us explore, settle, and prosper in outer space.
Members of the Sanctuary AI team founded D-Wave (a pioneer in the quantum computing industry), Kindred (first use of reinforcement learning in a production robot), and the Creative Destruction Lab (pioneered a revolutionary method for the commercialization of science for the betterment of humankind). The team has experience launching market-defining innovations rooted in previously unsolved and deep scientific problems.
Recruiting & Employment Agency Notice:
Recruitment and hiring is conducted internally by Sanctuary AI. We are not seeking or soliciting any new agency partnerships or agreements at this time.Any employment agency or professional recruiter (“Agency”) that provides an unsolicited resume(s) or otherwise presents a prospective job candidate through the Sanctuary AI career site or directly to any Sanctuary AI employee, irrevocably grants to Sanctuary AI the unrestricted right to engage, hire, or contract with that candidate at Sanctuary AI's sole discretion without any compensation to the Agency. We appreciate your interest in working together, and should the need arise our Talent Acquisition team will contact any external firms directly.
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