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.
Entity disambiguation, I am currently running a parallel graph for that very purpose to mend a "pivoted one too many times" database with lots of duplicate entities and misgrouped entities.
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.
I think there are pretty big differences between people in terms of how much sound insulation they actually want. I find that the insulation provided by the single (floor to ceiling) pane of glass in a WeWork office is more than enough for my tastes. I usually leave the door open if I'm in the office alone.
I have never overheard a conversation in an adjacent office. You can sometimes hear what people in the hallway are saying, which doesn't bother me at all.
Gamalon | Full-Stack Engineer | Boston | Full-Time
Gamalon is developing a radical new approach to machine learning coming out of MIT and Stanford and applying it to create amazing new products. http://gamalon.com/technology/
We are looking for a great generalist full-stack software engineer to join our team.
Primary Responsibilities:
- Become a technical leader in our growing company
- Invent, brainstorm, plan, build, and deploy new cloud-based machine learning products
- Help prototype new product features including web UI/UX
- Assist and advise the R&D team in developing high quality code and architectures
Experience, Skills, and Interests:
- Generous with others and collaborates well in a team environment.
- Intellectually curious and interested in machine learning. - Proficient in Python, C, and JavaScript is desired, along with facility in learning new programming languages and architectures.
- Experienced with Docker, Kubernetes, API gateways, and other technologies on EC2, Google, and Azure clouds. BS, MS, or PhD in CS, physics, or applied mathematics a plus
- Based in the Boston area or willing to move
- Authorized to work in the U.S.
Salary negotiable. Highly competitive healthcare (including dental and vision) and parental leave benefits.
We believe that diverse teams make great teams, and we encourage people of all backgrounds and experience to apply. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic.
Email us at jobs@gamalon.com with “[Job ID 301]” in the subject line
Gamalon | Full-Stack Engineer | Boston | Full-Time
Gamalon is developing a radical new approach to machine learning coming out of MIT and Stanford and applying it to create amazing new products. http://gamalon.com/technology/
We are looking for a great generalist full-stack software engineer to join our team.
Primary Responsibilities:
- Become a technical leader in our growing company
- Invent, brainstorm, plan, build, and deploy new cloud-based machine learning products
- Help prototype new product features including web UI/UX
- Assist and advise the R&D team in developing high quality code and architectures
Experience, Skills, and Interests:
- Generous with others and collaborates well in a team environment.
- Intellectually curious and interested in machine learning.
- Proficient in Python, C, and JavaScript is desired, along with facility in learning new programming languages and architectures.
- Experienced with Docker, Kubernetes, API gateways, and other technologies on EC2, Google, and Azure clouds.
BS, MS, or PhD in CS, physics, or applied mathematics a plus
- Based in the Boston area or willing to move
- Authorized to work in the U.S.
Salary negotiable. Highly competitive healthcare (including dental and vision) and parental leave benefits.
We believe that diverse teams make great teams, and we encourage people of all backgrounds and experience to apply. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic.
Email us at jobs@gamalon.com with “[Job ID 301]” in the subject line
We are building a probabilistic programming language to perform bayesian program learning at scale. Learn more about our technology here: http://gamalon.com/technology/
We are looking for a Research Scientist to join our team. People who enjoy joining our team are:
- Generous
- Deeply interested in the fundamental architectures of cognition and statistical machine-learning
- Hackers who invent, brainstorm, and build stuff that works in the real world
- PhD (or exceptional undergraduate) in Physics, Math, Applied Math, or CS
- Comfortable with complex mathematical derivations
- Proficient with Python, C++, and any other programming languages that they encounter
Email us at jobs@gamalon.com for more information
We are building a probabilistic programming language to perform bayesian program learning at scale. Learn more about our technology here: http://gamalon.com/technology/
We are looking for one Research Scientist to join our team. People who enjoy joining our team are:
- Generous
- Deeply interested in the fundamental architectures of cognition and statistical machine-learning
- Hackers who invent, brainstorm, and build stuff that works in the real world
- PhD (or exceptional undergraduate) in Physics, Math, Applied Math, or CS
- Comfortable with complex mathematical derivations
- Proficient with Python, C++, and any other programming languages that they encounter
[1] https://hackernoon.com/knowledge-graphs-for-enhanced-machine...