Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
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 1+ years experience on a Technical Support team BA/BS in Computer Science/Engineering degree Proficient 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 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 $70,000 - $110,000. 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. Pay Range (rate per hour)
$70,000—$110,000 USD
Excel in a remote-friendly hybrid model. We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wroclaw, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.
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