Technical Sourcer - Contractor

We are seeking a Technical Sourcer to join our dynamic HR team. In this role, you will partner closely with hiring managers to identify and engage top talent for AI and engineering positions, playing a critical role in building high-impact teams.

Responsibilities

• Partner with hiring managers and recruiters to deeply understand hiring needs, role requirements, and team priorities.
• Proactively identify, engage, and pipeline passive candidates for AI and engineering roles.
• Screen resumes and conduct initial candidate outreach to assess alignment and interest.
• Develop and execute innovative sourcing strategies and campaigns to meet hiring goals.
• Build and maintain strong talent pipelines for current and future hiring needs.
• Conduct market research to understand talent landscape, competitor activity, and sourcing opportunities.
• Track, analyze, and report on pipeline metrics to inform stakeholders and improve hiring efficiency.
• Support interview coordination and candidate experience when needed.
• Continuously evaluate and improve sourcing processes and best practices.

Basic Qualifications

• Bachelor’s degree in HR or a related field, or equivalent experience.
• 1–3 years of experience in technical sourcing or recruiting, preferably for software engineering or related roles.
• Proven ability to identify and engage high-quality candidates in a fast-paced, high-growth environment.
• Experience leveraging multiple sourcing channels (e.g., LinkedIn, GitHub, referrals, events).
• Strong communication, organizational, and problem-solving skills.
• Ability to effectively engage and influence candidates and stakeholders.
• Fluency in English; Mandarin proficiency is a strong plus.

Preferred Qualifications

• Master’s degree in HR or a related field.
• Familiarity with the autonomous driving or AI industry.
• Experience with Applicant Tracking Systems (ATS), preferably Greenhouse.
• Self-motivated, resourceful, and able to learn quickly in a fast-evolving environment.

• A fun, supportive and engaging environment.
• Infrastructures and computational resources to support your ML model development/research.
• Opportunity to work on cutting edge technologies with the top talent in the field.
• Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
• Competitive compensation package.
• Snacks, lunches, dinners, and fun activities.