Forward Deployed Engineer, Labelbox
$140-200k
2 days a week in office
Data training platform for ML applications
Open for applications
Data training platform for ML applications
101-200 employees
Open for applications
$140-200k
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
- This role requires an entrepreneurial mindset
- Master’s degree or above (Computer Science, Engineering, Mathematics, AI)
- Proficiency in Python
- Ability to communicate precisely and clearly
- Excellent project management skills
- Interest in the intersection of product, engineering and customer facing role
What the job involves
- You will operate like a technical cofounder of an AI startup
- Maybe that’s what you will become after cutting your teeth at Labelbox!
- You will use a unique mix of engineering, product and sales to deliver data on high stakes projects for Frontier AI labs - think Google, Meta, Amazon
- You will work with human data teams or AI researchers in customer organizations to produce the best datasets for model Evals, Supervised Finetuning, or ground truth data for advanced and emerging Reinforcement Learning techniques
- Understand what data Frontier AI labs need to measure LLM performance and improve model capabilities
- Build and operate human data pipelines to produce the best data
- Write code for pipelines and analyze data quality
- Write specs for engineering to improve human data tools and workflows
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 HQ
Mission District, San Francisco, CA
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 6 more jobs at Labelbox