Technical Recruiter, Labelbox
$120-140k
2+ days a week in office
Data training platform for ML applications
Be an early applicant
Data training platform for ML applications
101-200 employees
Be an early applicant
$120-140k
2+ days a week in office
101-200 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- 3+ years experience as a technical recruiter, preferably in a tech/AI startup and/or agency environment
- You have some knowledge about AI, how it works and are passionate about building what’s next
- You are passionate about building high-performing teams who take the business to new heights
- You are creative and relentless in your sourcing and you are able to find and attract the best candidates for your roles
- You build strong predictive pipelines that lead to a hire
- You understand that candidate experience can be a differentiator and are passionate about offering the best one for our candidates
- Excellent verbal and written communication skills
- Strong experience partnering with hiring managers through the hiring process
- You are familiar with Greenhouse ATS
What the job involves
- You will be joining the Technical Recruiting team to help grow our teams in Engineering, Product, and Design teams.
- You will manage the end to end recruiting process from sourcing to closing, partnering closely across the organization with leadership, hiring managers, recruiting and people ops
- Find the best Labelboxers for our EPD teams
- Manage the full cycle recruiting process ensuring an exceptional candidate experience, from screening candidates to negotiating offers and closing
- Drive innovative sourcing initiatives to identify, assess, and build a network of candidates
- Collaborate with hiring teams throughout the process; coach hiring managers and interviewers every step of the way (bias mitigation, candidate experience, calibration)
- Track pipeline data and provide relevant and consistent updates to hiring managers and recruiting team
Our take
Labelbox offers a web service and API helping companies better manage the process of annotating and labeling data used for machine learning (ML). This reduces costly and labor-intensive human data labeling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.
Labelbox offers automated labeling as a means of boosting productivity, which puts it in direct competition with Scale AI, a company valued at over $7 billion. Founded in 2018, the relatively young Labelbox will have to find a compelling way of distinguishing itself, such as by addressing the ethical issues faced in data labeling, The company emphasizes that its product addresses the problem of bias by working as a sort of auditable record, and offers quality assurance systems to help identify it.
Labelbox has remained focused on streamlining its capabilities to raise its value in line with the rapidly growing market. The company's global expansion efforts have significantly widened its potential client base, the company has also collaborated with Google to make access to its platform easier.
Freddie
Company Specialist at Welcome to the Jungle
Insights
46% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2022
$110m
SERIES D
Feb 2021
$40m
SERIES C
Total funding: $188.9m
Company benefits
- Flexible vacation policy (we don't count PTO Days)
- 401k Program
- College savings account
- HSA
- Daily lunches paid for by the company (especially convenient while working from home)
- Virtual wellness and guided meditation programs
- Dog-friendly office
- Regular company social events (happy hours, off-sites)
- Professional development benefits and resources
- Remote friendly (we hire in-office and remote employees)
Company values
- Make Customers Win - We find great pleasure in creating solutions for our customers. By working with us, our customers are at the forefront of industrial machine learning
- Craftsmanship - Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result
- Seek To Understand - The machine learning industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions
Company HQ
Mission District, San Francisco, CA
Articles
Leadership
Brian Rieger
(COO)Began as an Engineering Intern at Hudson Technologies. Co-founded Infinity Aerospace. Was an Aerodynamics Engineer at Boeing. Worked in Data Science for World Fuel Services.
Manu Sharma
(CEO)Masters in Astronautical Engineering from Stanford. Founder & CEO of Nuovo Wind. Founder & CEO of Ardulab/Infinity Aerospace. Worked at DroneDeploy for over 3 years, from Drone Engineer to Product Manager. Was a Product Manager at Planet.
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