AI Engineer, Post-Training - Helix Team: Figure

Figure, an AI Robotics company developing a general-purpose humanoid, is seeking an AI Engineer for its Helix team. This role focuses on enhancing and deploying state-of-the-art AI models to improve large pre-trained models for practical, real-world applications. The goal is to ensure these models are reliable, efficient, and scalable. The position involves close collaboration with research and product teams to develop new optimization techniques and integrate advanced AI capabilities into products and services.

Responsibilities:

Lead post-training research to improve performance, safety, and generalization of large-scale AI models.

Work with cross-functional teams to deploy AI solutions, focusing on user experience and model performance.

Develop and implement novel approaches for model fine-tuning, optimization, and evaluation.

Design and conduct experiments to understand model behavior and mitigate risks related to fairness, safety, and reliability.

Collaborate with researchers, engineers, and product teams to align model development with company goals.

Contribute to cutting-edge research and solve complex problems in AI deployment.

Requirements:

A Master's or PhD degree (or equivalent experience) in a relevant field (e.g., Computer Science, Machine Learning, AI).

Strong background in machine learning, deep learning, and natural language processing (NLP).

Proven experience in developing, tuning, and evaluating large-scale neural networks.

Familiarity with AI safety and robustness challenges in real-world environments.

Proficiency in Python and machine learning frameworks like TensorFlow or PyTorch.

Experience with large codebases and distributed computing environments.

Ability to conduct independent research and collaborate effectively in a team setting.

Bonus Qualifications:

Prior experience working with robotic learning systems.