Applied Research Engineer

Job not on LinkedIn

🕒 July 5, 2025

🏢🏡 San Francisco – Hybrid

💵 $250k - $300k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

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Labelbox

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Labelbox is an innovative platform specializing in the creation and management of AI data factories for businesses. It provides comprehensive solutions for data labeling, model evaluation, and the recruitment of AI trainers, enabling companies to generate high-quality training data for AI projects. With a focus on computer vision and natural language processing, Labelbox offers tools and services designed to enhance the performance and accuracy of machine learning models.

📋 Description

• As an Applied Research Engineer at Labelbox, you will be at the forefront of developing cutting-edge systems and methods to create, analyze, and leverage high-quality human-in-the-loop data for frontier model developers. • Your role will involve designing and implementing advanced systems that align human feedback into AI training processes, such as Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), etc. • You will also work on innovative techniques to measure and improve human data quality, and develop AI-assisted tools to enhance the data labeling process. • Your expertise in machine learning, frontier model training, and advanced human data alignment techniques will be crucial in pushing the boundaries of AI capabilities and delivering state-of-the-art solutions to meet the evolving needs of our customers.

🎯 Requirements

• A strong foundation in AI and machine learning, backed by a Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field. • Proven experience (3+ years) in solving complex ML challenges and delivering impactful solutions that improve real-world AI applications. • Expertise in designing and implementing data quality measurement and refinement systems that directly enhance model performance and reliability. • A deep understanding of frontier AI models—such as large language models and multimodal models—and the human data strategies needed to optimize them. • Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow to prototype and develop cutting-edge solutions. • A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community. • The ability to bridge research and application by interpreting new findings and rapidly translating them into functional prototypes. • Strong analytical and problem-solving skills that enable you to tackle ambiguous AI challenges with structured, data-driven approaches. • Exceptional communication and collaboration skills, allowing you to work effectively across multidisciplinary teams and with external stakeholders.

🏖️ Benefits

• 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.