Applied Research Engineer

Responsibilities

• 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.
• What You Bring
• 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
• Labelbox Applied Research
• Annual base salary range
• $250,000 - $300,000 USD
• 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 ge

Benefits

Additional Information

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: Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models 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 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.

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