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Tempus Ex | tempus-ex.com | San Francisco, CA | Onsite | Full Time

Tempus Ex is the technological vanguard for the sports and entertainment industry. Utilizing the latest AI, ML, and data science technologies from the autonomous driving space alongside unparalleled access to these industry’s leaders, we have partnered with top global sports leagues, broadcasters, and gaming companies to bring sports technology into the 21st Century.

Utilizing front row R&D at the world’s largest sporting events, we have been developing a stack of cloud and edge compute ML systems which deliver bleeding-edge data sets for broadcast, gaming, fantasy, sports analytics, statistics, and much more.

We hire no-ego A+ players who are self starters driven by a desire to bring the Silicon Valley ethos of disruption with state-of-the-art technologies to revolutionize sports and entertainment. We don’t care if you don’t like (or don’t know anything) about sports. We care that you are hungry to join a tight-knit, collaborative team. We want to give you the space to put your amazing skills to work at a breakneck pace, shipping products to millions of people who will have instant access and pure delight.

You’ll be in great company, counting alumni from Apple, BitTorrent, Facebook, Intel and Tesla as your colleagues. We can’t wait to hear from you.

Roles:

* Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000075003)

* Frontend Web Engineer (https://boards.greenhouse.io/txm/jobs/4241745003)

* Game/Mobile iOS Developer (https://boards.greenhouse.io/txm/jobs/4051290003)

* iOS SceneKit Engineer (https://boards.greenhouse.io/txm/jobs/4047147003)

* Senior Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000069003)

Contact: recruiting+hn@tempus-ex.com

More info: https://tempus-ex.com/careers

Tempus Ex | tempus-ex.com | San Francisco, CA | Onsite | Full Time

Tempus Ex is the technological vanguard for the sports and entertainment industry. Utilizing the latest AI, ML, and data science technologies from the autonomous driving space alongside unparalleled access to these industry’s leaders, we have partnered with top global sports leagues, broadcasters, and gaming companies to bring sports technology into the 21st Century.

With unprecedented access to R&D at the world’s largest sporting events, we have been developing a stack of cloud and edge compute ML systems which deliver bleeding-edge data sets for broadcast, gaming, fantasy, sports analytics, statistics, and much more.

We hire no-ego A+ players who hire A++ players, who are self starters driven by a desire to bring the Silicon Valley ethos of disruption with state-of-the-art technologies to revolutionize sports and entertainment. We don’t care if you don’t like (or don’t know anything) about sports. We care that you are hungry to join a tight-knit, collaborative team. We want to give you the space to put your amazing skills to work at a breakneck pace, shipping products to millions of people who will have instant access and pure delight.

Hero-ballers, bureaucrats, whiners and phonies need not apply; all others, we can’t wait to hear from you.

Roles:

* Frontend Web Engineer (https://boards.greenhouse.io/txm/jobs/4151326003)

* Senior Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000069003)

Contact: recruiting+hn@tempus-ex.com

More info: https://tempus-ex.com/careers

Tempus Ex | tempus-ex.com | San Francisco, CA | Onsite | Full Time

Tempus Ex is an Andreessen Horowitz backed startup bringing advances in real-time image recognition to sports. We’re leveraging this new data to create interactive live consumer experiences and fantasy sports.

At our San Francisco lab we are building a team of top-caliber engineers who are passionate about solving hard problems and want to be a part of the future of media. The core competency of the engineering team will be similar to that of autonomous driving - with the benefits of having a more complete data set and being able to ship products quickly.

Roles:

* Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000075003)

* Game/Mobile iOS Developer (https://boards.greenhouse.io/txm/jobs/4051290003)

* iOS SceneKit Engineer (https://boards.greenhouse.io/txm/jobs/4047147003)

* Machine Learning Engineer (https://boards.greenhouse.io/txm/jobs/4003692003)

* Senior Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000069003)

Contact: recruiting+hn@tempus-ex.com

More info: https://tempus-ex.com/careers

Tempus Ex | tempus-ex.com | San Francisco, CA | Onsite | Full Time

Tempus Ex is an Andreessen Horowitz backed startup bringing advances in real-time image recognition to sports. We’re leveraging this new data to create interactive live consumer experiences and fantasy sports.

At our San Francisco lab we are building a team of top-caliber engineers who are passionate about solving hard problems and want to be a part of the future of media. The core competency of the engineering team will be similar to that of autonomous driving - with the benefits of having a more complete data set and being able to ship products quickly.

Roles:

* Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000075003)

* Game/Mobile iOS Developer (https://boards.greenhouse.io/txm/jobs/4051290003)

* iOS SceneKit Engineer (https://boards.greenhouse.io/txm/jobs/4047147003)

* Machine Learning Engineer (https://boards.greenhouse.io/txm/jobs/4003692003)

* Product Designer (https://boards.greenhouse.io/txm/jobs/4067004003)

* Senior Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000069003)

Contact: recruiting+hn@tempus-ex.com

More info: https://tempus-ex.com/careers

Tempus Ex | tempus-ex.com | San Francisco, CA | Onsite | Full Time

Tempus Ex is an Andreessen Horowitz backed startup bringing advances in real-time image recognition to sports. We’re leveraging this new data to create interactive live consumer experiences and fantasy sports.

At our San Francisco lab we are building a team of top-caliber engineers who are passionate about solving hard problems and want to be a part of the future of media. The core competency of the engineering team will be similar to that of autonomous driving - with the benefits of having a more complete data set and being able to ship products quickly.

Roles:

* Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000075003)

* Game/Mobile iOS Developer (https://boards.greenhouse.io/txm/jobs/4051290003)

* iOS SceneKit Engineer (https://boards.greenhouse.io/txm/jobs/4047147003)

* Machine Learning Engineer (https://boards.greenhouse.io/txm/jobs/4003692003)

* Senior Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000069003)

Contact: recruiting+hn@tempus-ex.com

More info: https://tempus-ex.com/careers

Tempus Ex | tempus-ex.com | San Francisco, CA | Onsite | Full Time

Tempus Ex is an Andreessen Horowitz backed startup bringing advances in real-time image recognition to sports. We’re leveraging this new data to create interactive live consumer experiences and fantasy sports.

At our San Francisco lab we are building a team of top-caliber engineers who are passionate about solving hard problems and want to be a part of the future of media. The core competency of the engineering team will be similar to that of autonomous driving - with the benefits of having a more complete data set and being able to ship products quickly.

We're hiring for a number of roles. This month we're looking for a stellar iOS engineer specializing with SceneKit.

* iOS SceneKit Engineer (https://boards.greenhouse.io/txm/jobs/4047147003)

Other roles:

* Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000075003)

* Machine Learning Engineer (https://boards.greenhouse.io/txm/jobs/4003692003)

* Senior Backend Engineer (https://boards.greenhouse.io/txm/jobs/4000069003)

Contact: recruiting+hn@tempus-ex.com

More info: https://tempus-ex.com/careers

Tempus Ex | tempus-ex.com | San Francisco, CA | Onsite | Full Time

Tempus Ex is an Andreessen Horowitz backed startup bringing advances in real-time image recognition to sports. We’re leveraging this new data to create interactive live consumer experiences and fantasy sports.

At our San Francisco lab we are building a team of top-caliber engineers who are passionate about solving hard problems and want to be a part of the future of media. The core competency of the engineering team will be similar to that of autonomous driving - with the benefits of having a more complete data set and being able to ship products quickly.

* Backend Engineers

* iOS Engineers

* ML Engineers

* Data Scientists

* Product Managers (need sports expertise)

Contact: recruiting+hn@tempus-ex.com

More info: https://tempus-ex.com/careers

Tempus Ex | tempus-ex.com | San Francisco, CA | Onsite | Full Time

With our real-time 3D tracking technology, we create data models for live predictive analytics. This enables new types of fantasy sports games that are more engaging for fans—both in the stadium and at home.

We also create interactive AR experiences for fans that improve the engagement with teams and players. These experiences can be personalized and easily integrate with social media.

With unprecedented access to sporting events, we aim to partner with sports leagues around the world to implement this technology. With hands-on R&D at live events, we are developing edge hardware that streams to our cloud-based ML systems.

* Backend Engineers

* iOS Engineers

* ML Engineers

* Data Scientists

* Product Managers (need sports expertise)

Contact: info@tempus-ex.com

More info: https://triplebyte.com/company/public/tempus-ex

epf.ai | San Francisco, CA | Onsite | Full Time

With our real-time 3D tracking technology, we create data models for live predictive analytics. This enables new types of fantasy sports games that are more engaging for fans—both in the stadium and at home.

We also create interactive AR experiences for fans that improve the engagement with teams and players. These experiences can be personalized and easily integrate with social media.

* Backend Engineers * ML Engineers * Data Scientists

Contact: info@epf.ai

More info: https://triplebyte.com/company/public/e-pluribus-fusion

Python post-Guido 8 years ago

Guido's leadership has really been what's kept Python so consistent during its evolution. This is in contrast to languages governed by committee or corporation.

Hopefully Python continues to be guided in this manner, and Guido can help rally the Python community around a successor.

We've just started to dabble in GraphQL, and like many others we've seen mixed results.

On the upside, we can construct complex queries than eliminate many consecutive RPCs that you'd end up with in a traditional REST API. At scale this should work wonderfully, greatly reducing the client/server latency for our realtime app.

On the downside, the tooling is still far behind. This is somewhat due to GraphQL being a younger technology so you have to give it some time. OTOH, I feel like you can get things off the ground with REST more quickly. Problems with GraphQL tend to be harder to reconcile due to the debug tooling handicap.

Some of our engineers take a little time ramping up to GraphQL due to its complex nature. This is probably a good thing in the long run though, since it stresses the importance of keeping RPCs to a minimum and eliminates having to sync or batch consecutive RPCs.

Overall I still think it's a win. The tooling should improve over time, and hopefully it will be a first-class citizen in IDEs and libraries soon. Until then, you've got to be prepared to muscle though it.

AAF | San Francisco | Onsite | Fulltime | https://aaf.com

Our engineering team will build a new live streaming platform that makes a truly interactive television experience. Our broadcasting team will use our new streaming platform to tell the story of a live sporting event that engages fans on a new level.

We are hiring for many different positions, including:

- iOS Engineer

- C++14/17 Engineer

- Fullstack Web Developer

Our backend is built on AWS using mostly Golang and just a sprinkle of hard-core C++. We are using Swift for iOS and Kotlin for Android.

We also plan on building apps for Apple TV, Fire TV, etc.

See full list of jobs here: https://jobs.lever.co/aaf

I can't say I'm 100% happy with the slicing notation. I played around with some other wacky things, but then settled on overloading operator() to get a concise syntax.

In principle, you use it similar to python--s(5,10) instead of s[5:10].

I would have maybe liked to end up with s[5,10], but the only way to overload operator[] like that is with a pair. Then you'd end up with s[{5,10}]. So I figured it would be best to stick with just s(5,10).

After working with payment processing of credit, debit, EBT, and gift cards for the past few years, I have started using cash more.

For most transactions, a merchant is charged between 2-3% of the purchase price. This means that whatever you are buying could be 2-3% cheaper if cash were used instead. (However, for high-volume stores this may not be true since credit transactions take less time than getting change from cash.)

Furthermore, if someone steals your credit card number, you call them and have the charge removed. Does your credit card company take the loss with this? Not usually. The merchant that accepted the stolen card will pay. This in turn, makes the price of goods go up again.

These things take some toll on the overall economy. The real question becomes, how can we make cash transactions more efficient so that it improves commerce for individuals and improves the profits of businesses?