AI Engineer
130k - 260k USD
Hybrid
Full Time
#Artificial Intelligence
#Machine Learning
#Software
#Python
#TypeScript
#PyTorch
#React
#Node.Js
#GraphQL
#GCP
#Kubernetes
At Labelbox, we are building the essential infrastructure that fuels the most advanced AI models used by top research labs and enterprises. Since our founding in 2018, we have pioneered data-centric approaches that are vital to the evolution of artificial intelligence. As the capabilities of AI continue to grow, our mission becomes increasingly critical. We are looking for a talented AI Engineer to join our team and help us shape the future of this transformative technology.
What you'll be doing
- Design and implement innovative evaluation frameworks and interactive tools for large language models and AI agents across various data modalities like text, audio, and video.
- Research and develop methodologies to evaluate and train specialized AI agents, focusing on robust systems for human-in-the-loop feedback and reinforcement learning.
- Build sophisticated user interfaces using React that enable researchers and engineers to debug, understand, and improve complex AI models.
What you'll bring
- At least 2 years of experience in a software or machine learning engineering role, with a strong focus on applied AI.
- Proficiency in Python and TypeScript, along with practical experience using machine learning frameworks such as PyTorch.
- Demonstrated experience working with Large Language Models, including prompting, evaluation, and fine-tuning techniques.
- Full-stack development experience, specifically using React to create responsive and interactive applications.
- Familiarity with backend technologies like Node.js and GraphQL, with bonus points for experience in GCP and Kubernetes.
- A proactive, product-minded approach and a commitment to writing clean, well-tested code.
- Fluency in English to collaborate effectively within our global team.
What you'll get
The annual base salary range for this position is $130,000 to $260,000 USD. Please note that exact compensation is determined by your specific skills, experience, and location.
- Hybrid work model that balances in-office collaboration with flexibility.
- Generous paid time off to ensure you stay refreshed and productive.
- The opportunity to work in a high-impact environment where your career growth is directly tied to your contributions.
- A chance to solve complex, ambiguous challenges at the absolute frontier of AI development.






