Recruiting Coordinator

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in our San Francisco office 4 days per week. Lambda’s designated work from home day is currently Tuesday.

What You'll Do

  • Work with recruiters and interview teams to schedule all phone/virtual interviews, prep calls, and candidate debriefs 
  • Work cross functionally with internal teams and interviewers to coordinate all candidate interactions
  • Provide follow-up correspondence to candidates
  • Assist in the coordination of other recruiting activities as needed
  • Identify bottlenecks or areas for improvement and implement solutions to streamline workflows
  • Monitor vendor performance and address any issues or concerns as they arise
  • Oversee the candidate experience throughout the recruitment process, ensuring a positive and seamless experience for all candidates

You

  • Have 2-3 years of recruiting coordination, executive assistant or related coordination experience
  • Are comfortable working in dynamic work environments
  • Have strong organizational skills and attention to detail
  • Have demonstrated ATS experience
  • Are proficient with GSuite (Gmail, Google Calendar, Docs, Sheets)
  • Are able to effectively communicate verbally and in written form with teammates, stakeholders, and candidates
  • Have strong organizational skills to manage multiple tasks, priorities, and deadlines in a fast-paced recruitment environment.
  • Enjoy using your keen attention to detail to ensure accuracy and thoroughness in recruitment coordination activities such as scheduling interviews, managing candidate data, and coordinating logistics
  • Pride yourself on your strong problem-solving skills and use them to identify issues or blockers in recruitment processes and develop effective solutions to address them
  • Are flexible and able to navigate changing priorities, unexpected challenges, and evolving recruitment needs
  • Have a demonstrated commitment to providing an exceptional candidate experience and delivering high-quality service to candidates, hiring managers, and other stakeholders

Nice to Have

  • Experience working at a start-up
  • Experience in the machine learning or computer hardware industry

Salary Range Information 

Based on market data and other factors, the salary range for this position is $68,000 - $90,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. 

About Lambda

  • We offer generous cash & equity compensation
  • Investors include Gradient Ventures, Google’s AI-focused venture fund
  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • We have a wildly talented team of 300, and growing fast
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends for select roles
  • 401k Plan with 2% company match
  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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logo Lambda Recruiting Full-time On-site 📍 San Francisco, CA Apply Now
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