AmazonSr. Science Recruiter, Amazon University Talent Acquisition, AUTA Science Recruiting Team
Amazon is hiring a Sr. Science Recruiter, Amazon University Talent Acquisition, AUTA Science Recruiting Team in Seattle, United States. It pays $138k-$187k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this HR role Little AI ●○○○: aI is not part of the work.
- Pay on this posting starts 13% higher than the typical HR posting on Level.
- The posting mentions NLP, university recruiting and talent acquisition among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Science Recruiter focused on scaling university talent acquisition and hiring student scientists at Amazon.
The ideal candidate must possess the ability to earn trust and influence key stakeholders autonomously, expertly plan and prioritize against customer targets, manage candidates within tight timelines, demonstrate a proven capacity to use metrics to drive and showcase results, and remain calm in high-volume, ambiguous environments. Thriving in a fast-paced setting and excelling at problem-solving will be critical to success in this role.
The best candidate will leverage their extensive knowledge of Talent Acquisition to forge dynamic relationships with business leaders, cross-functional partners, and the centralized Amazon University Talent Acquisition program teams.
In this role, you will:
• Partner with business and recruiting teams across Amazon to understand student hiring needs
• Build innovative strategies to attract, source, assess, and hire students for niche roles across Amazon
• Identify opportunities for improving candidate experience and scheduling efficiency
• Manage and track all candidate and campus information, consolidate and analyze results and make recommendations for improvements
• Develop strategies related to recruitment that will contribute to the long-range growth of the Amazon, implement new processes and develop standard operating procedures that fits within Amazon's mission to deliver the highest quality results to the customer
Key job responsibilities
• Partner with full lifecycle recruiters, industry hiring teams, and other stakeholders to build an on early career talent strategy
• Manage customer expectations and business goals with bi-weekly business reviews metrics, and status updates to customers and stakeholders
• Develop strategies related to recruitment that will contribute to the long-range growth of the Amazon, implement new processes and develop standard operating procedures that fits within Amazon's mission to deliver the highest quality results to the customer
• Ability to develop a recruiting plan with deliverables, timelines, and a formal tracking process that scales
• Participate in special projects or recruiting initiatives; pilots, process improvement projects, etc.
About the team
AUTA Science - AMER is an Amazon University Talent Acquisition recruitment delivery team specializing in the sourcing and hiring for Applied, Research, and Data Science job families for internship, postdoc and campus FTE at scale across all of Amazon. AUTA Science (formally known as the Graduate Research Team, GRT) formed in 2012 to enable innovation and further research by hiring domain experts into Applied, Research and Data Science roles.
Basic qualifications
- Bachelor's degree or equivalent
- 7+ years of recruiting with focus on engineering, technical operations, and product management experience
- Experience and knowledge on candidates associated with top scientific publications from conferences. Deep domain expertise with a breadth of scientific disciplines including, but not limited to LLMs, CV, NLP, AR, Quantum, etc...
Preferred qualifications
- In-Person tradeshow and career fair experience associated with top scientific conferences such as NeurIPS, ICML, ICLR, CVPR, etc...
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 137,900.00 - 186,500.00 USD annually
How we rate this
Sr. Science Recruiter, Amazon University Talent Acquisition, AUTA Science Recruiting Team at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in HR jobs at this level
Pay
- This job starts at
- $138k
- Typical HR job
- $122k
This posting starts 13% above the typical HR job. See HR jobs
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where university recruiting was part of your work. What did you do?
- Tell me about a project where talent acquisition was part of your work. What did you do?
- Tell me about a project where sourcing was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: NLP, University Recruiting, Talent Acquisition, Sourcing, and Stakeholder Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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