Listening.com turns research papers and textbooks into audio, so students can listen on the go.
We're growing very fast, with 10,000+ subscribers from institutions like Harvard, Stanford, MIT, and UC Berkeley.
We’re hiring a machine learning engineer. The role entails:
* Experience with training models, implementing research papers, and coming up with novel model designs.
* Deep experience with PyTorch, Tensorflow, CUDA, etc is a must.
* Understanding how attention heads, convolutional networks, etc operate is important.
* These experiences are a plus but not required: --- training LLMs from scratch --- Working with audio models --- Working with vision models --- Experience making models run efficiently is a plus but not required (quantization, pruning, distillation, etc) --- Experience with model hosting and deployment is also a plus but not required
The role is 50% remote, 50% in person.
To apply, please email [email protected]. Include your resume, and mention that you're in the San Francisco bay area.
We're VC backed and growing like a rocket ship
We're looking for a senior engineer. Primary programming language is Python. Experience with machine learning a plus but not required.
The role involves:
- Improving our PDF extraction functions
- Integrating text-to-audio APIs
- Managing AWS server infrastructure
- Deploying machine learning models
- General backend: performance, reliability, observability, etc.
We move fast and ship things quickly. The code you write will be in users' hands in days. The team is highly technical, no middle management, self-directed.
We meet in SF 2x a week, work from home the rest of the time.
Please contact: [email protected]. Please include a cover letter and resume, and why you're interested in the role.
Listening turns textbooks and research papers into audio, so students can listen on the go.
We're VC backed and growing like a rocket ship
We're looking for a senior engineer. Primary programming language is Python. Experience with machine learning a plus but not required.
The role involves:
- Improving our PDF extraction functions
- Integrating text-to-audio APIs
- Managing AWS server infrastructure
- Deploying machine learning models
- General backend: performance, reliability, observability, etc.
We move fast and ship things quickly. The code you write will be in users' hands in days. The team is highly technical, no middle management, self-directed.
We meet in SF 2x a week, work from home the rest of the time.
Please contact: [email protected]. Please include a cover letter and resume, and why you're interested in the role.
The pricing on OpenPipe says it's 0.0012 to 0.0016 per 1K tokens for Llama 7b. GPT-3.5 pricing is 0.0015 to 0.002, so not that different.
I'm assuming the 50x cost reductions are primarily from self-hosting?
In reality, the value of a MAU varies a ton by geography (and other factors).
For Meta, in 2023, US and Canada traffic is worth $48/yr, while developing world traffic is $3.35/yr. A ~15x difference.
https://www.statista.com/statistics/251328/facebooks-average...
The typical Apollo user is probably much higher value than the average Reddit user, so the opportunity cost is higher as well.
Salary: $90k to $135k (or hourly equivalent) Equity: 0.5% to 2%
Overview -
Listening.io is "Audible for Education". We turn educational materials, like textbooks & research papers, into audiobooks. We're growing fast, and are looking to hire a Flutter engineer.
Our entire team is technical, with no middle managers. You'll get to play with some of the latest technologies in your day-to-day work, including GPT-4 and text-to-speech APIs.
Finally, you'll also own a big piece of equity in a fast-growing, VC-backed startup.
Requirements -
You'll need to be able to single handedly own everything in the mobile app. That means we're looking for someone with a lot of Flutter experience, including fully developing every part of an app.
Although 95% of the work is in Flutter, we do need to bridge into native code ~5% of the time. So we're looking for experience in Flutter, as well as Swift, Kotlin, and native development (XCode / Android Studio).
This is a 50% in person position, so it's local to the SF Bay Area.
To apply, email: [email protected]
Question: Why can't we go faster than the speed of light?
Answer: This is a misconception. The speed of light is the maximum speed at which information can be transmitted. It is not the maximum speed at which objects can move. Objects can move faster than light, and in fact, they do. For example, the speed of light is about 300,000 km/s, but the speed of a jet airplane is about 1,000 km/s, which is much faster.
An address of an insolvent company may not be able to legally return funds; i.e. once they receive funds they may have a fiduciary duty to distribute them in a certain way, for example by order of a bankruptcy court.
tl;dr: They may only be able to ask people not to deposit, but not prevent them from depositing. And if users do deposit, they might not be allowed to give it back.
I'm looking to build a raspberry pi smart mirror.On Amazon and AliExpress, there are a bunch of Android-based smart mirrors with pre-built operating systems.On the other hand, there are a lot of DIY guides where you build the mirror from scratch, including cutting wood and attaching the mirror.What I'd like is just the smart mirror, pre-built, but as a display only. I want to attach the HDMI...
I'm thinking about the success of Freakonomics, Thinking Fast and Slow, The Elegant Universe, etc. These are all academics, who've "translated" their research for the masses. That translation ended up being much more impactful - and prestigious - than an intimidating paper.
I hope this becomes more of a trend, and an incentive structure, in the future.
There's a really interesting episode on the Tim Ferris podcast, where Drew Houston shares the story.
This obv comes at a long term branding cost - but only large brands like New York Times can really afford to care about the long term. Most news sites are commoditized and barely surviving these days =/
I don't agree with the practice, but I also kind of understand why it's there.
- It's missing a "you"
Salary: $60k to $110k USD | Equity: 0.25% - 1%
Mythia is a rewards card for gamers. Instead of airline miles, users get free PlayStations and video games. Users can team up with friends and tackle weekly challenges for more rewards.
Our leadership team is highly technical. We have 90%+ unit test coverage, well documented APIs, a smooth CI/CD process, and 1 week sprints.
You will be fully responsible for our Android app. This is a unique opportunity to own a mission critical part of a fast growing startup.
We're funded by Y Combinator, as well as the founders of Tinder, Nerd Wallet, Scale.ai, and more.
Interested? Email us with "HackerNews" in the subject line: [email protected]