FAR.AI is seeking senior research engineers to increase the technical depth of their AI safety research, allowing them to answer research questions more definitively and at a larger scale.
Requirements
significant software engineering experience or experience applying machine learning methods
experience with at least one object-oriented programming language (preferably Python)
Common ML frameworks like PyTorch or TensorFlow
Natural language processing or reinforcement learning
Operating system internals and distributed systems
Publications or open-source software contributions
Basic linear algebra, calculus, vector probability, and statistics
Responsibilities
developing scalable implementations of machine learning algorithms
use them to run scientific experiments
involved in the write-up of results
credited as an author in submissions to peer-reviewed venues
help shape the research direction
analyze experimental results
participate in the write-up of results
Other
results-oriented and motivated by impactful research
Flexibility. You will focus on research engineering but contribute to all aspects of the research project.
Variety. You will work on a project that uses a range of technical approaches to solve a problem.
Collaboration. You will be regularly working with our collaborators from different academic labs and research institutions.
Mentorship. You will develop your research taste through regular project meetings and develop your programming style through code reviews.
