Level

Amazon

Sr. Sourcing Recruiter, AWS Science

AI in this role

computer-visionnlp
Join AWS Science Recruiting team and help us identify and hire the world's most exceptional scientific and technical minds. We hire science talent spanning domains including AI/ML, NLP, Computer Vision, and more.

You'll work across all Amazon businesses, advising hiring managers on hiring strategy while building relationships with technical leaders. The candidates you engage will influence decisions affecting billions of customers.



Key job responsibilities
Strategic Search Design: Develop multi-channel strategies attracting world-class contributors. Map target companies and research institutions, engage at conferences, and generate referral leads. Build talent networks across technology domains and tap industry sources for ongoing candidate pools.

Talent Advisory: Partner with hiring teams to educate on market trends, talent availability, and competitive landscape. Conduct ongoing company and talent mapping to inform search strategy and deliver market-relevant insights.

Candidate Development: Build candidate pipelines through targeted engagement, screening, and interviews. Guide candidates through the onsite process while coaching hiring teams on best interviewing practices.

What We're Looking For
Research acumen: Learn technical domains quickly, craft effective search strategies, excel at candidate identification, engagement, and creative sourcing

Strategic judgment: Think strategically while executing tactically, relentlessly high standards, results-oriented

Collaboration: Team leader and member who believes individual wins are team wins

Experience: 3+ years passive candidate generation in high-tech markets, experience advising hiring leaders

About the team
The centralized AWS Science Recruiting team connects specialized talent to high-impact initiatives advancing AI-driven capabilities across AWS's most critical technical domains.

The scientists you hire will shape AWS's technical future setting standards, mentoring thousands, solving problems affecting billions.

Our mission: identify, build relationships with, and hire world-class scientists. We believe rigorous research yields healthy outcomes. Well-planned searches accelerate time-to-fill while prioritizing quality touchpoints over quantity. We balance long-term relationships with urgent business needs. You'll work with an established team of Recruiters where individual wins are team wins.

Basic qualifications

- 5+ years of corporate and or search firm progressive recruiting including full life cycle recruiting experience

Preferred qualifications

- Experience across other functional areas of talent acquisition, ideally diversity recruiting, research or analytics
- Experience building and utilizing a variety of sourcing plans and tools, including proactive phone and internet research

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Santa Clara - 151,600.00 - 205,100.00 USD annually
USA, WA, Bellevue - 137,900.00 - 186,500.00 USD annually

How we score this

Sr. Sourcing Recruiter, AWS Science at Amazon scores 33 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionNlp

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. What NLP problem have you worked on, and how did you measure whether it actually worked?

Adapt your resume

  • List these exact terms on your resume: Computer Vision and Nlp. 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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