Our long term goal is to build machines that exceed human intelligence. We are passionate about changing the world with science and software, and we are looking for exceptional people to join us in that mission. Vicarious is working on solving the problems that will take us from the current state of the art to human-level AGI. We work on all components of the AI problem, including perception, concept learning, reasoning, and sensory motor systems, and beyond. Our underlying framework is a probabilistic graphical model that is inspired by the structure of the neocortex. You will join a small, tightly knit collective of extraordinary engineer scientists. Everyone works on our full stack, from algorithms to low level optimizations to GUI code and back.
As part of our team, you will…
- put your algorithm and math skills to work in solving the hardest problems in learning and inference in hierarchical models.
- make decisions about how to translate complex ideas to working solutions while keeping a keen eye for computation/accuracy/memory tradeoffs.
- design controlled experiments to show particular performance aspects of the systems and large scale experiments to show statistical robustness.
- write infrastructure software to scale our systems and data visualization routines to understand what is happening inside.
- document your inventions for patents and publications.
- keep yourself updated with advances in the field of machine learning and neuroscience.
- The craftsmanship of building elegant algorithms and tight implementations are part of our company DNA. We work hard to maintain a codebase and a culture that are a joy to work in.
Desired skills and experience
- Preferred PhD or Masters in CS/EE or a related discipline or Masters in CS/EE with relevant research experience. We also consider exceptional applicants with other backgrounds.
- Experience building hierarchical vision systems and publishing relevant papers in CVPR/NIPS/ICML is a big plus.
- Extensive programming skills, ideally in Python and C, and a track record of translating ideas into prototypes quickly.
- Solid fundamentals in linear algebra, probability theory, signal processing, and optimization.
- Experience developing and testing ideas in a large scale setting.
- Experience with belief propagation and approximation methods.
- Knowledge of biologically inspired models of vision.
- Interest in neuroscience a plus.
- Experience working in an interpreted environment like MATLAB or Mathematica also a plus.
Desired personal qualities
- Ability to admit when wrong
- Fearlessness working outside your comfort zone
- Patience with others
- Described by others as the best researcher / engineer / thinker they know
- Intellectual breadth
- Sense of humor
- Work on the most important problems in the field with a team who will challenge and support you.
- Extremely generous salary and equity compensation.
- Health, dental, and vision insurance, as well as short and long term disability. We pay 100% of employee premiums and 50% of dependent premiums.
- Healthy, organic breakfast and lunch every day, customized to your diet preferences.
- Get to work easily! Our office is 60 seconds from BART and public transportation, and adjacent to a beautiful park.
- We do something fun and active as a team every week, like soccer, volleyball, badminton, or frisbee!
- Certified personal trainer who will design an exercise program that suits your fitness level and help you meet your goals.
- Company wireless plan. Never pay a mobile phone bill again.
- Executive and life coaching for everyone. Select between different coaches, depending on what types of skills you want to develop.
- Once a year, we take the entire company (including +1s and kids) on a weeklong vacation to Hawaii. Yes, it’s as awesome as it sounds.
- We have flexible hours and a family-friendly culture. Building the first intelligent machines is our life’s work, and we emphasize sustainability over crunch. Our board member and investor Dustin Moskovitz recently wrote an article that captures how we relate to our work.