Applied Research 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.

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 Alignerr, 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

Applied Research at Labelbox builds the benchmarks and data that drive the next generation of foundational agentic capabilities. We are looking for exceptional researchers and research engineers to join our team to measure and improve agent performance while collaborating directly with our frontier lab research partners.

• Define benchmarks and training signals to push agentic capabilities forward.
• Conduct research to ensure evaluations and data are insightful and reliable.
• Propose and collaborate on experiments and projects with research teams at frontier labs for their evaluation and training needs.
• Drive ambiguous research threads autonomously.
• Turn research insights into concrete opportunities.
• Stay current with the latest developments in agentic capabilities, training, and evaluation methodologies.
• Publish research findings and contribute to the broader research community.

• 2+ years of industry experience in ML, with an MS, PhD, or equivalent research track record in CS / ML / a related field.
• Track record of published papers in top venues (e.g. NeurIPS, ICML, ACL, EMNLP)
• Strong understanding of experimental design, statistical analysis, and evaluation frameworks
• Self-directed individual with strong communication skills

At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.

We foster an environment of intellectual curiosity, collaboration, and innovation. We encourage our researchers to explore new ideas, engage in open discussions, and contribute to the wider AI community through publications and conference presentations. Our goal is to be at the forefront of human-centric AI development, setting new standards for how AI systems learn from and interact with humans.

• 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

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.