AI Engineer

2 weeks ago

Palo Alto, United States SuperAGI Full time

About SuperAGI:

SuperAGI is pioneering the development of open-source Agentic AGI, providing cutting-edge AI infrastructure components, tools, frameworks, and models. Our flagship product, SuperAGI, is a developer-first open-source AI agents framework that enables the creation of intelligent, autonomous agents capable of complex, independent actions. We also offer AGI-1, our advanced foundational model that translates text input into actionable outputs, executing agentic tasks with precision.


Role Description:

As an AI Engineer at SuperAGI, you will play a crucial role in developing and enhancing AI algorithms and models. This role requires extensive research and the creation of advanced AI solutions, which will be integrated into our enterprise platforms. You will collaborate closely with a team of skilled software engineers and research scientists.


Key Responsibilities:

  • Conduct extensive research and develop state-of-the-art AI algorithms.
  • Collaborate with software engineers and research scientists to integrate advanced AI models into enterprise platforms.
  • Design and optimize various machine learning models.
  • Engage with open-source communities and academic partners to stay updated with the latest AI developments.
  • Utilize your strong background in AI/ML, including hands-on experience with computer vision, natural language processing, and related algorithms.
  • Demonstrate proficiency in AI/ML testing, including experience with experimentation software like MLFlow or Weights & Biases.
  • Communicate effectively, presenting complex ideas to diverse audiences and working collaboratively.
  • Maintain deep knowledge in specialized domains while being curious and forward-looking.


Qualifications:

  • A Ph.D. or Master’s degree in Computer Science, AI, Machine Learning, or a related field. Equivalent practical experience is also valued.
  • Proven experience of 2+ years in AI, Machine Learning, or a related field, with a focus on NLP, Deep Learning, or LLMs.
  • Proficiency in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as Python or Java.
  • Deep understanding of machine learning paradigms, deep learning methodologies, and related AI systems.


Join Our Mission:

Be a part of our mission to redefine the boundaries of AI. If you are passionate about contributing to the future of AI and making a significant technological impact, we are eager to welcome you to our team.

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