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AI Engineer – Post-Training – Helix Team
| Company | Figure AI |
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| Location | San Jose, CA, USA |
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| Salary | $175000 – $350000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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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 Masters or PhD or equivalent experience in a relevant field (e.g., Computer Science, Machine Learning, AI, or related disciplines).
Responsibilities
- Lead the 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 the user experience and model performance.
- Develop and implement novel approaches to model fine-tuning, optimization, and evaluation.
- Design and conduct experiments to better understand model behavior and to identify and mitigate risks related to fairness, safety, and reliability.
- Collaborate with other researchers, engineers, and product teams to align model development with company goals.
- Contribute to cutting-edge research and bring new insights to the team to solve complex problems in AI deployment.
Preferred Qualifications
- Prior experience working with robotic learning systems
