Applied Research Engineer - Remote

Overview

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.

In Short

• Develop advanced systems for AI training processes.
• Implement methods for human data quality measurement.
• Create AI-assisted tools for data labeling.
• Investigate human feedback impact on AI models.
• Optimize algorithms for human feedback collection.
• Integrate research breakthroughs into products.
• Engage with the AI community for innovation.
• Publish research findings in top-tier journals.
• Explore new frontiers in human-AI collaboration.
• Establish Labelbox as a thought leader in AI.

Requirements

• Ph.D. or Master’s in Computer Science, Machine Learning, or related field.
• 3+ years of experience in machine learning.
• Expertise in data quality systems.
• Understanding of frontier AI models.
• Proficiency in Python and deep learning frameworks.
• Track record of publishing in AI/ML conferences.
• Ability to bridge research and application.
• Strong analytical and problem-solving skills.
• Exceptional communication and collaboration skills.

Benefits

• High-impact environment with rapid career growth.
• Work at the cutting edge of AI development.
• Rewarding ownership and rapid execution.
• Continuous learning and evolution opportunities.
• Clear ownership and autonomy in your role.