Machine Learning Support Engineer, Labelbox
$70-110k
Data training platform for ML applications
Open for applications
Data training platform for ML applications
101-200 employees
Open for applications
$70-110k
101-200 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- 2+ years experience on a Technical Support team
- BA/BS in Computer Science/Engineering degree
- 2+ years of technical expertise in Python
- Experience with Machine Learning a plus
- An ability to navigate and advise on efforts related to complex customer requests or projects, gathering additional human resources for assistance if needed
- Empathy, patience, phenomenal people skills
- An ability to learn quickly to understand and articulate new technologies and corresponding value propositions
- Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage workflow
- A creative problem solver who isn’t afraid to get their hands dirty
- Ability to quickly pick up a variety of software applications with ease
- Experience with common support software like Intercom, GitHub, Jira, etc
What the job involves
- As a Machine Learning Support Engineer, you’ll act as the frontline of customer love, utilizing live chat and internal resources to resolve product issues and provide proactive guidance to customers
- Create great experiences for our customers when they need help. Build trust and advisory relationships with customers to help them better use the product
- Learn Labelbox's product at a deep level and help customers do the same. Learn what’s happening next with the product, and help customers prepare for the use of new features
- Go beyond the question being asked; understand how our customers define their own success with the product and help them work toward that success
- Proactively propose creative solutions to address customers’ business problems and goals
- Be a voice for our customers during internal discussions and projects at Labelbox. Represent their needs and struggles to help drive our products in a strong direction
- Monitor and identify trends in customer experiences. Work within the team and with other teams at Labelbox to give customers the information and tools they need to more effectively and efficiently support themselves in the use of the product
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
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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