Machine Learning Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Obelisk is an AI lab that draws on insights from neuroscience and the brain's architecture to develop a new machine learning framework. This involves making changes to neural representation, learning rules, and internal neural dynamics.

We are looking for a motivated machine learning engineer to assist in the development of this model, and to take the insights we learn from modeling and bring them into mainstream ML frameworks like Tensorflow or PyTorch.

We believe that fundamental changes to the basics of ML are key to making breakthroughs in intelligence. This is an opportunity to develop the next generation of tooling and to create safe, socially aligned AGI through diverse solutions.

An ideal candidate would have experience with cognitive or neuroscience with ideas to bring insights from the brain into the domain of machine learning, but this is not strictly required.

You will

• Work with engineers and researchers to create a roadmap for research
• Bring best practices from modern ML frameworks into the development of a new one
• Implement architectural improvements in an existing ML framework
• Help architect and design the systems we build
• Implement complex and interesting systems with a focus on scalability, maintainability, correctness and performance. Examples of the types of systems that we are building include; complex models of neural architecture, training environments for our agents, a distributed framework for evolving our model, and scaling up our model
• Contribute to the technical and cultural foundations of our high caliber engineering team

You are

• Self-motivated with a masters or equivalent work experience in machine learning
• Experienced with applying machine learning and/or deep learning.
• Excited about the potential of AGI
• Some familiarity with cognitive neuroscience a plus but super deep knowledge isn’t required
• Stellar communication skills with the ability to lead technical discussions
• Enthusiastic for working on a small, growing team in a startup environment and having a direct impact on the outcome
• Familiarity with Go or PyTorch a plus