Machine Learning Support Engineer

Posted 12 Days Ago
Hiring Remotely in India
Remote
Junior
Artificial Intelligence • Information Technology • Machine Learning
Our mission is to build the best products to align with artificial intelligence.
The Role
As a Machine Learning Support Engineer, you'll support customers in using Labelbox's products by providing guidance, resolving issues via live chat, and understanding their success metrics. You'll monitor customer experiences, represent their needs internally, and propose solutions to improve product usage.
Summary Generated by Built In
Shape the Future of AI

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 Labelbox

We're the only company offering three integrated solutions for frontier AI development:

  1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
  2. Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models
  3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

  • High-Impact Environment: 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: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
  • Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
  • Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
  • Clear Ownership: 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.

Role Overview

Join Labelbox as a Machine Learning Support Engineer, where you'll be the frontline of customer success, providing expert guidance and technical support to help users get the most out of our platform. You will work directly with customers via live chat and other channels, resolving technical issues, offering proactive solutions, and ensuring seamless adoption of Labelbox’s AI-assisted data labeling tools. Your role will be pivotal in empowering customers to create high-quality training data, refine AI models, and drive innovation in the field.

We're looking for a problem solver who thrives in fast-paced environments, learns new technologies quickly, and enjoys collaborating with both customers and internal teams. If you're passionate about AI, data, and delivering exceptional customer experiences, we’d love to hear from you.

Your Impact

  • Create great customer experiences and build trust, aligning with Labelbox's focus on delivering state-of-the-art solutions.
  • Help customers deeply learn Labelbox's product and prepare them for new features, increasing efficiency in AI-assisted data labeling.
  • Understand customer success and help them achieve it, impacting their ability to produce high-quality training data and develop AI models.
  • Propose creative solutions to address customer business problems, contributing to shaping the next generation of AI models.
  • Represent customers during internal discussions, driving industry innovation by understanding evolving data needs.
  • Monitor customer experiences and work with teams to provide effective support tools.

What You Bring

  • 2+ years of experience in a Technical Support role
  • BA/BS in Computer Science, Engineering, or a related field
  • 2+ years of hands-on experience with Python
  • Familiarity with Machine Learning is a plus
  • Ability to navigate complex customer requests or projects, coordinating additional resources as needed
  • Empathy, patience, and exceptional interpersonal skills
  • Ability to quickly learn, adapt to, and articulate new technologies and their value.
  • Excellent organizational skills with the ability to multitask and prioritize effectively
  • Creative problem solver with a hands-on approach
  • Experience with support tools such as Intercom, GitHub, Jira, and similar platforms

Support at Labelbox

At Labelbox Support, you'll ensure the success of frontier AI labs and enterprises using our data factory infrastructure. You'll provide expert guidance on our Enterprise Platform, Frontier Data Labeling, and Expert Marketplace offerings, helping customers overcome technical challenges in their AI data pipelines. With our platform processing 50+ million annotations monthly, you'll develop deep technical expertise across multimodal, reasoning, coding, and multilingual use cases. Your timely, knowledgeable assistance will directly impact customer satisfaction and project outcomes, ensuring maximum value from human-in-the-loop processes. Join us in supporting the technical infrastructure that's advancing state-of-the-art AI through superior human data quality and transparency.

Life at Labelbox
  • Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
  • Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
  • Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
  • Growth: Career advancement opportunities directly tied to your impact
  • Vision: Be part of building the foundation for humanity's most transformative technology

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

Top Skills

Python
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The Company
HQ: San Francisco, CA
115 Employees
Hybrid Workplace
Year Founded: 2017

What We Do

Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale. Customers include Fortune 500 enterprises and leading AI labs, and Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins.

Why Work With Us

Labelboxers are driven to master their craft and build the best products for AI, which is quickly becoming one of the most significant technologies of our time. Join us in supporting our customers as they create AI breakthroughs.

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