Machine Learning Support Engineer
Listed on 2026-01-23
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IT/Tech
AI Engineer, Technical Support, HelpDesk/Support, Machine Learning/ ML Engineer
At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About LabelboxWe're the only company offering three integrated solutions for frontier AI development:
- Enterprise Platform & Tools
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Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale - Frontier Data Labeling Service
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Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models - Expert Marketplace
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Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
- High-Impact Environment
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We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. - Technical Excellence
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Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. - Innovation at Speed
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We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. - Continuous Growth
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Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. - Clear Ownership
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You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
Join Labelbox as a Customer Support Engineer (known as a Machine Learning Support Engineer), you’ll act as the frontline of customer, utilizing live chat and internal resources to resolve product issues and provide proactive guidance to customers.
Your Impact- 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 resent 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 give customers the information and tools they need to more effectively and efficiently support themselves in the use of the product.
- 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 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, Git Hub, Jira, etc
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range
$80,00…
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