Client: Tik Tok
Job Title: Technical Sourcer
Location: Multiple - San Jose, Seattle, Los Angeles
Hybrid - 1 - 2 days onsite
Contract Length: 6 Months
About Us: We are a dynamic and fast-paced company looking for a talented Junior-Mid Level Recruiter to join our team. Our ideal candidate is someone who thrives in a high-energy environment and is passionate about finding the best talent to help us grow.
Key Responsibilities:
- Talent Acquisition: Source, screen, and interview candidates for various positions within the company.
- Stakeholder Management: Collaborate with hiring managers to understand their hiring needs and provide regular updates on recruitment progress.
- Recruiting Metrics: Track and analyze recruiting metrics to ensure efficiency and effectiveness in the hiring process. Be prepared to discuss your previous metrics and how they influenced your recruitment strategies.
- Problem Solving: Demonstrate the ability to solve problems independently and with minimal oversight. Show initiative in finding solutions and improving processes.
- Data Utilization: Understand how to use data to influence stakeholders and make informed decisions.
- Continuous Improvement: Always be willing to ask questions and seek help when needed. Strive for continuous improvement in your recruiting practices.
Qualifications:
- Experience: 2-5 years of recruiting experience, preferably with companies like Meta, Amazon, Tesla, Snap, Uber, or recruitment agencies.
- Skills: Strong problem-solving skills, ability to work independently, and a deep understanding of recruiting metrics.
- Environment: Comfortable working in a fast-paced environment and able to adapt quickly to changing priorities.
- Communication: Excellent communication and interpersonal skills, with the ability to build strong relationships with candidates and stakeholders.
Preferred Background: (Any of these)
AI/ML, Research Science:
Applied Machine Learning, Backend Engineering:
Applied Machine Learning (AML):
Data Center and Network Engineering, GPU, Server, and Linux Kernel :
Heavy Data Center:
SRE and Research Scientist (AI and CV) roles:
E-Commerce: Algorithm, MLE:
Cloud and data bases: Kupernetes; no SQL:
Data platform: data engineers specifically and SWE in big data:
Database, software, and platform reliability - SWE Leadership:
R&D Engineering - no FLC:
Work Arrangement:
- Hybrid: This position requires being in the office 1-2 days a week, with the flexibility to work remotely on other days.
Why Join Us?
- Innovative Culture: Be part of a team that values innovation and creativity.
- Growth Opportunities: Opportunities for professional growth and development.
- Collaborative Environment: Work with a supportive and collaborative team that values your input and ideas.
