Mission: Our mission is to contribute to humanity through high-impact AI research and engineering.
Today AI2 announced Project Alexandria, a new initiative at AI2 focused on bringing common sense to AI. Alexandria will integrate machine reading and reasoning, natural language understanding, computer vision, and novel crowdsourcing techniques at an unprecedented scale – our goal is to create a new extensive, foundational common sense knowledge repository for future AI systems to build upon. Functional common sense in AI will boost performance on a broad range of practical AI challenges, from translation to robotic vision to medical diagnoses and hypothesis generation. Paul G. Allen has funded AI2 for $125 million over three years to launch this exciting new effort. Learn more at: http://glassdoor.com/slink.htm?key=vQNk5
Announcing a new way to read papers: Starting today, read papers published via #ArXiv on #SemanticScholar as responsive HTML docs that will render correctly whether you’re on a phone, tablet, laptop, or desktop computer.
Learn more: http://glassdoor.com/slink.htm?key=vQNt4
From AI2's Sam Skjonsberg
AI2 was founded in 2014 with the singular focus of conducting high-impact research and engineering in the field of artificial intelligence, all for the common good. AI2 is the creation of Paul Allen, Microsoft co-founder, and is led by Dr. Oren Etzioni, a world-renowned researcher and professor in the field of AI and computer science.
Situated on the shores of Lake Union, AI2 employs the world’s best scientific talent in the field of AI, attracting individuals of varied interests and backgrounds from across the globe. AI2 prides itself on the diversity and collaboration of its team, and takes a results-oriented approach to complex challenges in AI.
AI2 has undertaken several important projects to drive fundamental advances in science and medicine through AI including Aristo, Semantic Scholar, Euclid, Plato, and AllenNLP. Meet our team, review our projects, and see our advisors and collaborators.
Research scientists at AI2 have the opportunity to drive high-impact results via both goal-oriented research and their own creative approaches. AI2's research organization is a diverse, multinational team with a range of backgrounds and expertise including NLP, machine learning (including deep learning), machine reading, large-scale inference, and computer vision.
AI2 engineers solve hard problems while enjoying a dynamic, small company atmosphere. Working alongside our team of world-class researchers, our engineering team builds the infrastructure we need to to make a significant impact in the field of Artificial Intelligence. If you like working with algorithms and distributed computing while pushing the boundaries of human knowledge, AI2 could be a great fit for you.
Our interns typically join AI2 for three-month stints, and leave having made substantial research contributions. Interns take on one significant project and work closely with a mentor. Interns at AI2 hit the ground running, and typically leave with positive learning experiences and publishable results.
Stay happy and healthy with our excellent medical, dental and vision benefits.
Let your hard-earned money work even harder for you.
Not in the US? Not a problem to work with us.
Family comes first at AI2. Spend extra time with the newest addition to your family on us.
Time off to enjoy yourself wherever you want to go.
Plenty of goodies and drinks to keep your brain moving.
Spend some time relaxing or exercising on beautiful Lake Union.
Good for your body, and the environment!
We regularly have both friendly and competitive bouts on our onsite table.
I have been working at Allen Institute for Artificial Intelligence full-time
* Collaborative teams that are passionate about their work.
* A business that has clear goals but without a for-profit motive.
* Unlimited walnuts.
Projects are quite separate and it's a challenge to standardize across them.
I applied online. The process took 3 weeks. I interviewed at Allen Institute for Artificial Intelligence (Seattle, WA) in March 2017.
They first send you an offline assignment which is code-reviewed on call with an engineer. There is another phone screen where an engineer will discuss a problem with you for an hour and you are expected to write code, analyze time complexity and optimizations.
You then proceed to the onsite rounds consisting of 6 technical interviews. Each interview has a focus area - algorithms, problem solving, architecture, etc. I had two rounds on architecture where the problem could be completely open ended like design a social network and the discussion grows from there.
Make sure you practice analyzing time and space complexity really well, and have good understanding of architecture (pros / cons of design). The rest will basically be discussing problems relating to strings , discrete math, graphs and writing a neat solution.
The engineers here are smart and passionate. It was a pleasure talking to them.
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