We use them at Forge.AI for high-precision entity disambiguation and to provide explainable automated dependency analysis [1] as part of a filtering system.
Forge.AI | Cambridge, MA (Greater Boston Area) | ONSITE | https://forge.ai
Forge.AI is seeking computer scientists with a passion for technology and a thirst for solving unique and hard problems. Forge is solving one of hardest challenges in AI - how to capture and transform the world’s unstructured information into codified, machine event streams that are specifically designed for consumption by a company’s modeling, decision-making environments and AI infrastructure.
We are looking for extraordinary computer scientists who understand multiple components across the big data stack and possess a deep interest in, and experience with, the emerging artificial intelligence and intelligent machine ecosystem. They also have a passion for unstructured data, modeling, instrumentation, data quality, large-scale data processing, statistics, machine learning and visualization.
Ideal candidates thrive at the intersection of data science and software engineering and are motivated by the opportunity to create ground breaking technologies that will impact machine intelligence and how businesses use and consume data. They welcome the camaraderie and opportunity intrinsic to being part of a passionate and dedicated team. They are energized by seeing their contributions turned into real product and seeing that product become critical to, the world’s most notable organizations.
If this sounds like you and you are driven, focused on results, a self-starter, a quick learner, team oriented and intensely curious - this role is for you. This position is in our Cambridge, MA office.
Forge.AI | Cambridge, MA (Greater Boston Area) | ONSITE | https://forge.ai
Forge.AI is seeking computer scientists with a passion for technology and a thirst for solving unique and hard problems. Forge is solving one of hardest challenges in AI - how to capture and transform the world’s unstructured information into codified, machine event streams that are specifically designed for consumption by a company’s modeling, decision-making environments and AI infrastructure.
We are looking for extraordinary computer scientists who understand multiple components across the big data stack and possess a deep interest in, and experience with, the emerging artificial intelligence and intelligent machine ecosystem. They also have a passion for unstructured data, modeling, instrumentation, data quality, large-scale data processing, statistics, machine learning and visualization.
Ideal candidates thrive at the intersection of data science and software engineering and are motivated by the opportunity to create ground breaking technologies that will impact machine intelligence and how businesses use and consume data. They welcome the camaraderie and opportunity intrinsic to being part of a passionate and dedicated team. They are energized by seeing their contributions turned into real product and seeing that product become critical to, the world’s most notable organizations.
If this sounds like you and you are driven, focused on results, a self-starter, a quick learner, team oriented and intensely curious - this role is for you. This position is in our Cambridge, MA office.
I can't stand how poorly sound-isolated the conference rooms and offices are. I have literally been standing outside a conference room, waiting for my meeting to start, and overheard the details of a company shutting down. The private offices that we pay good money for aren't much better. Because they use single-paned glass (cheap) you can hear every foot step, conversation, or other random noise from any office or hallway near you.
What's even more hilarious? Our door locks seized closed for a couple of days, and their fix was to just open all of the locks and leave the entire WeWork unlocked with a single security guard there during business hours. Ridiculous.
[1] https://hackernoon.com/knowledge-graphs-for-enhanced-machine...