Technical Recruiter, Machine Learning

3 weeks ago

Vancouver, Canada Sanctuary AI Full time

**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.

**Our Success Criteria**:

- 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

**Your Experience**

**Qualifications**
- 5+ years of experience in recruitment, sourcing, or staffing roles
- 2+ years of experience recruiting for ML, Data Science, or related AI positions

**Skills**
- 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

**Traits**
- 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

Entry-rate Annual Salary: $100,000 CAD and up

**Compensation**:
At Sanctuary AI, we provide above average total compensation that includes three components: salary, equity, and benefits. Our goal is to ensure fairness in pay and we strive to make the overall package highly competitive with current market rates.

**Equity**:
**Benefits - Canadian permanent employees are eligible for**:
+ Medical Insurance

+ Dental

+ Vision

+ Hearing Aids

+ Life Insurance and AD&D

+ Prescriptions

+ Paramedicals

+ Hospital

+ Travel

+ $500 per calendar year Healthcare Spending Account

+ Unique complimentary beverages and snacks at our head office-
**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**:

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