chanderson0

Fauna Robotics | NYC | Onsite | Full-time | https://faunarobotics.com/

Fauna Robotics is a New York-based startup devoted to the mission of developing safe, intelligent, human-centric robots that live, work, and play by our sides. We are looking for software engineers and design technologists to build the software engine that powers this vision.

In particular, we are looking for:

- Senior/Staff Software Engineers who can architect real-time, high-reliability systems for robots while keeping research scientists moving quickly. Emphasis on Python for research, C++ for production. (https://faunarobotics.com/careers/senior-software-engineer/)

- Computer Graphics Specialists who can build high-fidelity simulation environments that run both in locally in real-time and in the cloud. (https://faunarobotics.com/careers/computer-graphics-speciali...)

- Conversational Interaction Specialists with experience working directly from audio signals to build great speech understanding and production systems. (https://faunarobotics.com/careers/conversational-interaction...)

See other roles: https://faunarobotics.com/careers/

Fauna Robotics | NYC on-site | Software Engineer | Full-Time | Visa

Fauna Robotics (https://faunarobotics.com) is a New York-based startup building a future where humans and robots cohabitate and collaborate. Our mission is to increase play and reduce work for humankind by building advanced robots for the home.

We are looking for software engineers and design technologists to build a software engine that powers the interface between people and machines.

What you'll do:

- Build systems and experiences that explore how modern AI technologies (LLMs, reinforcement learning) meet the physical world via robots

- Tackle problems across robot reasoning, perception, and human interaction, working in a Python and C++ stack

- Collaborate with a world-class team of robotics researchers and ML specialists at the cutting edge of the field

We're hiring across all experience levels, with a focus on senior staff who can help shape our architecture.

To get in touch, email us at [email protected] or reach out to me directly at [email protected]

My parents run a business making telescope mirrors, and I grew up around this exact process. Measurement is the biggest difference between this and what they do. Take a look at https://en.wikipedia.org/wiki/Interferometry#Engineering_and... if you want to know more about how it's done in industry.

The best metaphor I got from them about how precise a shape they make in glass is that if you took a typical 1 meter mirror and scaled it up to the size of the United States, the biggest deformity from a perfect curve would be less than you are tall - far less than your ability to perceive.

The other thing that was impressed me is that up until recently, the last stage of high-precision mirror making was literally done by hand. My dad would literally rub on a mirror with very, very fine grit to take out bumps on the order of microns. Recently, they've switched to machines in that last step to make it faster and more accurate, but for many applications the traditional way worked just fine.

For data on elephant populations and the effect of ivory bans or increased demand, check out: https://elephant-atlas.org/ - including an API. The counts come from an awesome program called the Great Elephant Census (http://www.greatelephantcensus.com/).

Disclaimer: I work for The OCR

Coming soon!

http://blogs.computerworld.com/laptops/21164/googles-new-chr...

Am I the only one that reads the domain name as "Map STD"?

The "personalization" of the web is not a Google-specific phenomenon. I am, at this very moment, sitting in a session at the Adobe Digital Marketing Summit where a marketer from Toyota is espousing personalizing site content to users.

This practice is being pushed _hard_ to all businesses here as a central theme of growth of the internet. In the sense that this drives better business, it certainly will be. Don't expect to go to Toyota.com and see the same experience as your neighbor anymore.

Other tips, independent of whether you're using Google Analytics or any other tool:

- Plan and set up your analytics early. If you're using Google Analytics, set up goals (and goal funnels) for the major actions that are successes for your business. If you're not using GA, figure out how to model user interactions in a meaningful way.

- Track any and all of your efforts to spread your web presence. Tag links in emails, social sources, and advertising solutions. If you don't know how you acquired a particular customer, you don't know what's working.

- There is only one number that matters at the end of the day: revenue. Understand how metrics play into revenue before trying to optimize for something web-centric like "Bounce Rate" or "Time on Site".

Apparently "request beta invite" means "grant every possible Facebook access to a non-functional application".

Back-of-the-envelope math:

Suppose Google were to implement the same policy. Their quarterly profits last quarter were $2.5B, and had approximately 30,000 employees. So 10% of $2.5B split among 30k employees means an average quarterly bonus of $8,300, or a yearly bonus of $33k.

This seems like a pretty good bonus, particularly since if Google used salary.com to define their salaries, an incoming software engineer in the Bay Area would make $70k.

To add to this: I wrote a simple socket.io demo app for a class I was teaching that makes these issues apparent. Try opening http://node.heyanderson.com/ on your mobile device and in a browser (Chrome or Safari, preferably) and you'll see the difference in latency.