dmortensen
Clara is an software powered outsourcing company. They price at $200 to $500
At x.ai, we are building an artificial intelligence powered personal assistant. The software will schedule meetings for our customers automatically without subjecting them to the typical back and forth over email negotiating when and where to meet someone. We are looking for a smart, self-motivated, and enthusiastic individual to join us on the journey in building the artificial intelligence of the future. You’ll get to work side by side with a small team of serial entrepreneurs moving at breakneck speed.
A Backend Engineer will:
- Build, evolve and scale out infrastructure to ingest, process and extract meaning out of free form text
- Jump between architecture, implementation, infrastructure management, and firefighting
- Design and build a system that enables seamless human-machine interactions
- Solve various optimization and constraint problems related to coordinating people’s schedules and preferences
- Integrate with various external APIs
- Constantly improve our development processes and tools to reduce friction from idea to deployment
Ideal Candidate:
- Build maintainable, well tested and scalable code
- Experience with building big data processing system
- Data modeling and architectural skills
- BS or MS in Computer Science (or related field)
- Intellectually curious, collaborative, self-motivated, fast learner that is comfortable with uncertainties
- Want to be part of a passionate and collaborative team, looking to make a mark in the world
- Our backend is built in Scala so direct experience will be preferred
- Bonus: Experience with AWS, MongoDB and EMR/Hadoop
At x.ai, we are building an artificial intelligence powered personal assistant. The software will schedule meetings for our customers automatically without subjecting them to the typical back and forth over email negotiating when and where to meet someone. We are looking for a smart, self-motivated, and enthusiastic individual to join us on the journey in building the artificial intelligence of the future. You’ll get to work side by side with a small team of serial entrepreneurs moving at breakneck speed.
A Data Engineer will:
- Build, evolve and scale out infrastructure to ingest, process and extract meaning out of free form text
- Jump between architecture, implementation, infrastructure management, and firefighting
- Design, implement and evolve Natural Language Processing software modules
- Solve various optimization and constraint problems related to coordinating people’s schedules and preferences
- Constantly improve our development processes and tools to reduce friction from idea to deployment
Ideal Candidate:
- Build maintainable, well tested and scalable code
- Experience with building big data processing system
- Strong statistic background, ideally experience Natural Language Processing techniques
- Data modeling and architectural skills
- BS or MS in Computer Science (or related field)
- Intellectually curious, collaborative, self-motivated, fast learner that is comfortable with uncertainties
- Want to be part of a passionate and collaborative team, looking to make a mark in the world
- Bonus: Experience with Scala, AWS, MongoDB and EMR/Hadoop
At x.ai, we are building an artificial intelligence powered personal assistant. The software will schedule meetings for our customers automatically without subjecting them to the typical back and forth over email negotiating when and where to meet someone. We are looking for a smart, self-motivated, and enthusiastic individual to join us on the journey in building the artificial intelligence of the future. You’ll get to work side by side with a small team of serial entrepreneurs moving at breakneck speed.
A Data Scientist will:
- Design, develop and implement statistical models to carry out various novel aspects of classification and information extraction from unstructured text, such as emails or email threads
- Using a combination of judgement and experience, create hypotheses to confront complex Natural Language Processing problems
- Be capable of designing stringent tests of these hypothesis and use results to guide further development towards performance optimization
- Familiar with or eager to learn various advanced statistical techniques to solve different optimization and constraint problems related to automating the coordination of people’s schedules and derivation of implicit and explicit preferences from email-related data
- Be capable of visualizing and communicating data science concepts to other team members, and seek meaningful feedback from them
Ideal Candidate:
- Quantitative degree and/or relevant experience
- Strong statistics background, ideally experience with Natural Language Processing techniques; loves building mathematical and probabilistic models and algorithms
- Code experience in a production environment; familiar with data structures, parallelism and concurrency
- Intellectually curious, collaborative, self-motivated, fast learner that comfortable working in a dynamic environment tackling challenging problems
- Bonus: Experience with Scala, Python, AWS, and MongoDB; implementation experience with supervised and unsupervised machine learning algorithms
But our early beta users should not be to shy to cue in Amy:
- Amy, set something up with Lerer in Soho
- Amy, can you arrange breakfast with Matt and FirstMark please. They can pick a place.
- Amy, setup a data science / whiteboard chat for Prateek and I *
* My default meeting location is 48 Wall (Amy knows that, and simply assume I want this location used for a new candidate interview)
- We've seen that "Normal's" want to talk to their assistant without Syntax (my biggest worry is one of early users creating some artificial syntax)
- I like the idea of people seeing Amy as a little-bit human (it helps with the above two). I might be off on this one.
- We tell the guest that we are an AI Assistant (so no hiding)
- We hope it will increase user engagement, we do not know yet.
You'd be surprised how much text is annotated as "gratitude" :-)
No buzzwords needed, we are just trying to do some good work, and if we succeed, we think many people would like it: https://twitter.com/search?q=xdotai
- Hi Amy, can we push the meeting tomorrow 20 min ?
- Hi Amy, let’s do the meeting when John is back from holidays (Friday, yes?)
- Hi Amy, Let’s do the meeting end of next week, preferably Thursday
- Hi Amy, Have John call my Skype (if he's got an account) instead of Cell, and add Linda to the invite please.
- Hi Amy, set something up with Jordy from Softbank next week, heck, I'll do something outside my scheduling hours as long as it is next week.
I scheduled 1019 meetings myself as startup founder in 2012 [0] and this is all I want, which obviously does not equal us being able to pull it off.
We have this fantasy (delusion perhaps) of us becoming arbiters of time. You don't need a calendar, because Amy will help manage your time. One step at a time though and the problem is hard enough as is, before we print "Arbiter of Time" t-shirts.
Email [email protected] and ask her to set up a meeting as you would normally do. She understands the request and then starts a human / human-like dialogue with your guest on Date, Time and Location. Once concluded, she’ll send you both an invite having done the tedious email ping pong that comes along with arranging a meeting. There's an example here: https://x.ai/how-amy-schedules-your-meetings/