Avatar for Labelbox
Labelbox
Actively Hiring
Our mission is to build the best products for humans to align with artificial intelligence
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • +4

Machine Learning Support Engineer

Posted: 3 months ago
Visa Sponsorship

Not Available

RelocationAllowed

About the job

About the Role

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.

As Labelbox continues to grow, we often have multiple openings for this role. Should your skills and experience align with our requirements and timeline, our team will reach out to you as soon as opportunities become available on this team.

Your Day to Day

  • 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.

About You

  • 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.

About the company

Labelbox company logo

Labelbox

Actively Hiring
Our mission is to build the best products for humans to align with artificial intelligence51-200 Employees
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • Valuation $500M+
    This company has a valuation of $500M or more
  • 5.0
    Highly rated
    Labelbox is highly rated on Glassdoor, with 5.0 out of 5 stars
  • 4.7
    Work / Life Balance
    Employees rate Labelbox 4.7/5 on Glassdoor for work / life balance
  • 5.0
    Strong Leadership
    Employees rate Labelbox 5.0/5 on Glassdoor for faith in leadership
Learn more about Labelbox image

Funding

AMOUNT RAISED
$188.9M
FUNDED OVER
5 rounds
Rounds
D
$110,000,000
Series D - Jan 2022+4

Perks

Medical benefits
Health, dental, and vision benefits
Retirement benefit
401(k) retirement plan
Generous parental leave
12 weeks parental leave
Hub-centric Remote Model
Flexible work hours and WFH setup stipend
Generous vacation
Unlimited paid time off
Be a lifelong learner
$1000 yearly educational budget
Intentional in-person gatherings
Company events, team offsites, and annual hackathons.

Founders

Manu Sharma
Co-founder & CEO • 3 years
San Francisco
image
Brian Rieger
Co-founder & COO • 3 years • 7 years
San Francisco
image
View the team image

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