Applied Research Engineer, Agents

Shape the Future of AI

At Labelbox were building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018 weve 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

Were 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

Why Join Us

• High-Impact Environment: We operate like an early-stage startup focusing on impact over process. Youll 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. Youll be surrounded by curious minds solving complex problems at the frontier of AI.
• Clear Ownership: Youll know exactly what youre responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

As an Applied Research Engineer at Labelbox youll sit at the junction of advanced AI research and real product impact with a focus on the data that makes modern agents workbrowser interactions SWE/code traces GUI sessions and multi-turn workflows. Youll drive the data landscape required to advance capable adaptable agents and help shape Labelboxs strategy for collecting synthesizing and evaluating it. You will possess expertise in LLM agents and planning/execution loops plus creativity in tackling problems across data design interaction and measurement. Youll publish meaningful results collaborate with customer researchers in frontier AI labs and turn prototypes into reliable scalable features.

Your Impact

• Create frameworks and tools to construct train benchmark and evaluate autonomous agent capabilities.
• Design agent-focused data programs using supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies.
• Develop data pipelines from diverse sources like code repositories web browsers and computer systems.
• Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models.
• Engage with research teams in frontier AI labs and the wider AI community to understand evolving agent data needs for frontier models and share best practices.
• Collaborate closely with frontier AI lab customers to understand requirements and guide model development.
• Publish research findings in academic journals conferences and blog posts.

What You Bring

• Ph.D. or Masters degree in Computer Science Machine Learning AI or related field.
• At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers.
• Experience building and training autonomous agentstool use structured outputs multi-step planningacross browsers/GUI codebases and databases using SFT and RL.
• Constructed and evaluated agentic benchmarks (e.g. SWE-bench WebArena τ-bench OSWorld) and reliability/efficiency suites (e.g. WABER).
• Adept at interpreting research literature and quickly turning new ideas into prototypes.
• Deep understanding of frontier models (autoregressive diffusion) post-training (SFT RLVR RLAIF RLHF et al.) and their human data requirements.
• Proficient in Python data science libraries and deep learning frameworks (e.g. PyTorch JAX TensorFlow).
• Strong analytical and problem-solving abilities in ambiguous situations.
• Excellent communication skills.
• Track record of publications in top-tier AI/ML venues (e.g. ACL EMNLP NAACL NeurIPS ICML ICLR etc.).

Labelbox Applied Research

At Labelbox Applied Research were 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.

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 humanitys 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.

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