Labelbox
Machine Learning Support Engineer
Join the Labelbox team as a Machine Learning Support Engineer and help build the critical infrastructure that powers breakthrough AI models.
Role Overview You will act as the frontline of customer support, utilizing live chat and internal resources to resolve product issues and provide proactive guidance to customers.
Responsibilities
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.
Qualifications
BA/BS in a technical field; Computer Science/Engineering degree is a plus.
Proficient in Python.
Experience with Machine Learning is a plus.
Experience in a customer service or support environment.
An ability to navigate and advise on complex customer requests or projects, gathering additional resources for assistance if needed.
Empathy, patience, phenomenal people skills.
Ability to learn quickly to understand and articulate new technologies and 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 hands dirty.
Ability to quickly pick up a variety of software applications with ease.
Experience with common support software like Intercom, GitHub, Jira, etc.
Benefits
High-Impact Environment: Early‑stage startup culture focused on impact over process.
Technical Excellence: Work at the cutting edge of AI development with industry leaders.
Innovation at Speed: Ownership, rapid execution, and high agency rewarded.
Continuous Growth: Continuous learning and evolution in a curious team solving frontier problems.
Clear Ownership: Autonomy to drive results through clear ownership and metrics.
Pay Annual base salary range $80,000—$85,000 USD. (Pay parity across the organization and transparent compensation discussion.)
Location & Work Style
Location: San Francisco, CA or Wrocław, Poland.
Work Style: Hybrid model—2 days per week in office, combining collaboration and flexibility.
Life at Labelbox
Fast‑paced and high‑intensity environment, perfect for ambitious individuals who thrive on ownership and quick decision‑making.
Career advancement opportunities directly tied to impact.
Vision: Build the foundation for humanity’s most transformative technology.
#J-18808-Ljbffr
Role Overview You will act as the frontline of customer support, utilizing live chat and internal resources to resolve product issues and provide proactive guidance to customers.
Responsibilities
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.
Qualifications
BA/BS in a technical field; Computer Science/Engineering degree is a plus.
Proficient in Python.
Experience with Machine Learning is a plus.
Experience in a customer service or support environment.
An ability to navigate and advise on complex customer requests or projects, gathering additional resources for assistance if needed.
Empathy, patience, phenomenal people skills.
Ability to learn quickly to understand and articulate new technologies and 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 hands dirty.
Ability to quickly pick up a variety of software applications with ease.
Experience with common support software like Intercom, GitHub, Jira, etc.
Benefits
High-Impact Environment: Early‑stage startup culture focused on impact over process.
Technical Excellence: Work at the cutting edge of AI development with industry leaders.
Innovation at Speed: Ownership, rapid execution, and high agency rewarded.
Continuous Growth: Continuous learning and evolution in a curious team solving frontier problems.
Clear Ownership: Autonomy to drive results through clear ownership and metrics.
Pay Annual base salary range $80,000—$85,000 USD. (Pay parity across the organization and transparent compensation discussion.)
Location & Work Style
Location: San Francisco, CA or Wrocław, Poland.
Work Style: Hybrid model—2 days per week in office, combining collaboration and flexibility.
Life at Labelbox
Fast‑paced and high‑intensity environment, perfect for ambitious individuals who thrive on ownership and quick decision‑making.
Career advancement opportunities directly tied to impact.
Vision: Build the foundation for humanity’s most transformative technology.
#J-18808-Ljbffr