About Figure
Figure is an AI robotics company developing a general-purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and home applications. We are based in San Jose, CA, and require five days per week of in-office collaboration. It’s time to build.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an AI Engineer, Post-Training, to enhance and deploy state-of-the-art AI models. You will focus on improving large pre-trained models for practical applications, ensuring they are reliable, efficient, and scalable. This role involves close collaboration with research and product teams to optimize AI systems 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 in real-world applications, focusing on improving user experience and model performance.
- Develop and implement novel approaches to 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 bring new insights to solve complex AI deployment challenges.
Requirements
- Strong background in machine learning, deep learning, and natural language processing (NLP).
- Proven experience in model development, tuning, and evaluation with large-scale neural networks.
- Familiarity with AI safety and robustness challenges in real-world environments.
- Proficiency in programming languages such as Python, with experience in machine learning frameworks like TensorFlow, PyTorch, or similar.
- Experience working with large codebases and distributed computing environments.
- Ability to conduct independent research and collaborate effectively in a team-oriented environment.
- A master's or PhD or equivalent experience in a relevant field (e.g., Computer Science, Machine Learning, AI, or related disciplines).
Bonus Qualifications
- Prior experience working with robotic learning systems.
Compensation
The US base salary range for this full-time position is between $175,000 - $400,000 annually.
The pay offered may vary based on job-related knowledge, skills, and experience. The total compensation package may include additional benefits depending on the specific role. This information will be shared if an employment offer is extended.
