DatologyAI | Member of Technical Staff | Full-time | Onsite, Redwood City, California | https://www.datologyai.com/
At DatologyAI, we build tools to improve large-scale deep-learning models by selecting the right training data. We are automating data curation at petabyte scale, helping customers to train models faster, to better performance, and enabling smaller models to achieve performance competitive with much larger models. Models are what they eat, and the data models ingest determines everything about their capabilities.
Since founding less than a year ago, we have raised $57.6M, including a $46M Series A in May 2024. Our backers include AI luminaries Geoff Hinton, Yann LeCun, Jeff Dean, and Amazon and Microsoft.
Fitbit, the leader in the fitness band market, is near a deal to acquire smartwatch maker Pebble, according to three people briefed on the deal.
The price couldn’t be learned but it is thought to be for a small amount. Pebble had been looking to sell, one of the people said. There have been signs over the past year or so that Pebble was facing financial challenges. Earlier this year it reportedly laid off about a quarter of its workforce.
THE TAKEAWAY
The expected sale of Pebble to Fitbit signals a consolidation in the wearables market.
The Pebble brand will be phased out after the deal. What Fitbit will get is Pebble's intellectual property, such as its operating system, one of the people said.
The deal signals a consolidation in the wearables space, which has been crowded with several players including Apple and Jawbone. Pebble burst onto the scene several years ago with a flashy Kickstarter campaign that drew interest from consumers. But it struggled to gain traction.
Pebble burst onto the scene several years ago with a flashy kickstarter campaign that drew interest from consumers.
Fitbit, which went public last year, has had its own issues. Its stock price which has fallen from a peak of $49 in August of last year to roughly $8 today, giving it a market cap of $1.87 billion. The company recently reported net income fell 61% to $43.5 million in the nine months to Oct. 1, despite a 39% increase in revenue to $1.6 billion. Fitbit's main product is fitness bands but it sells what some have called a smartwatch, pitting it directly against Apple's watch.
Meanwhile, Jawbone, another maker of wearable devices, has also struggled in the past year or two and had looked for a buyer, without success.
Last year there were 233,000 petitions. Only 85k petitions are actually accepted each year. Compare that to 172,500 petitions received in 2014 and 125,000 in 2013.
This means the rate of companies that use h-1b has actually slowed down by a lot. I know as a fact that most of the US tech companies that have offices in Europe, are actually transitioning to using L-1 visas and don't apply for H-1b anymore.
If you're a small startup and you want to hire someone who is not a US citizen your options are pretty limited right now.
We run into the same cost-related problems for our CDN. What we did to solve it was to rent dedicated servers that are near AWS regions. We used Route53 latency based routing to route traffic to that dedicated servers + Nginx + LUA. We're serving 300+ TB of traffic per month and the total price is just a percent of the RubyGems AWS Bill. There is some maintenance included with this solution and the problem is finding the right dedicated server providers.
I always keep an eye on: http://github.com/twitter lots of awesome stuff ranging from frontend stuff to distributed services. Having 100 open source projects and judging by the rate they are putting things out they do have a good engineering team.
It's insane. So if I'm a truly passionate and talented but I'm not a US citizen I don't get to play with the best because only the first 65k get to do it?
I bet most of them are applying to big companies and the percent of startups is really small.
At DatologyAI, we build tools to improve large-scale deep-learning models by selecting the right training data. We are automating data curation at petabyte scale, helping customers to train models faster, to better performance, and enabling smaller models to achieve performance competitive with much larger models. Models are what they eat, and the data models ingest determines everything about their capabilities.
Since founding less than a year ago, we have raised $57.6M, including a $46M Series A in May 2024. Our backers include AI luminaries Geoff Hinton, Yann LeCun, Jeff Dean, and Amazon and Microsoft.
We are hiring: Research Scientist: https://jobs.ashbyhq.com/DatologyAI/d5090b17-8b58-42ee-afa6-...
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ML Engineer: https://jobs.ashbyhq.com/DatologyAI/c64f9ea8-0943-476d-aabd-...
ML Infra Engineer: https://jobs.ashbyhq.com/DatologyAI/b5a42904-d7ec-45a4-96df-...
Full Stack Engineer: https://jobs.ashbyhq.com/DatologyAI/5546e184-6f86-4540-868d-...
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