ProxyCrawl startup 11 days ago
CSS HTML JavaScript Node.js

ProxyCrawl startup | Node, Frontend, Javascript, Fullstack, Customer Support | 100% remote | Full-time only | Competitive salaries depending on role and experience

At ProxyCrawl we care about data, all our team loves the freedom that the internet gives to access anything at any time and that's what we want to share and provide to the world.

Internet should be open and accessible for everyone.

Current job positions:

- Remote nodeJS javascript (frontend and design skills are a plus)

- Remote frontend engineer (javascript, html, css, design)

- Remote customer support (chat and email) with technical background

Check full list here: https://proxycrawl.com/about-us#jobs

All our team is remote and from different countries and timezones.

Please email your resume to us at Email is hidden

Remote Full-time
Graphy 11 days ago
React.js Stripe

Graphy | Remote or London | Full-time | £60k–£90k + equity | https://graphyapp.com

Hey everyone!

I'm CTO at Graphy, an all-in-one data collaboration platform. We've just closed a $2m round from Stripe, Seedcamp, Product Hunt and others.

We use remote-first processes. We're solving cool technical challenges. Our tech stack: bit.ly/2Mbox56

We have two engineering roles available: - React / frontend engineers: https://www.notion.so/graphy/software-engineer-react-0809fe5... - Backend engineers: https://www.notion.so/graphy/backend-engineer-node-1c394ce7b...

Remote folks: apply only if your timezone is between -3 (Brazil etc.) and +2 (most of Europe).

Remote Full-time
12 days ago
Deep learning Natural Language Processing Python

Hi folks, I recently left Google (8 years, 4 months, 4 days :)) and co-founded a deep learning startup. We’re building a large scale model to learn human behavior and detect, predict, and explain suspicion and fraud. Our focus is on insurance involving human beings, accidents and their health - such as disability, workers’ compensation and other areas.

“Insurance” may sound like a boring problem domain, but it’s far from that. On the ethical side, it’s a huge problem, with estimated $40B-$80B paid out to fraud annually, with very little recourse to the fraudsters. And we’re all paying for it. The detection process today is almost entirely manual/human intuition based, not data driven. Our mission is to put a stop to this loop hole by leveraging large historical data sets and deep learning and introducing a modern, systematic real-time detection approach. We put it in the hands of professional detectives. We provide realtime monitoring, alerts, explanations and supporting evidence.

The data set is a time series of events starting with an accident + injury, followed up by many diagnosis, interviews, witness statements, medical reports; treatments, with some final outcome. The outcome can be a full recovery, partial disability or a permanent disability.

This time series is represented by a large structured as well as large unstructured corpus (10s of millions of documents). The problem domain is super interesting - we’re building a real world “Minority Report” to stop bad actors from abusing the system, and help the good actors get paid immediately, and stop bad medical providers from doing evil.

There is a lot of interesting NLP work. The data sets you’d be working with involve individual demographics, job histories, geography mapping, health history, injury causes, recovery and treatment methods, objective witness statements and subjective claimant reports, industry codes, criminology, graph theory and workplace safety, to name a few.

https://www.propublica.org/article/health-insurers-make-it-e... https://www.propublica.org/article/dr-death-christopher-dunt...

We’re hiring one more data engineer and/or data scientist with strong programming python skills to join the team. We are super early so you’re getting in on the ground floor, but we are well funded (closed a large seed round recently from several top-tier VC’s in SF and NYC). We already have a large data set and a customer and are seeing early success with our initial model. Our office is in the middle of Manhattan.

You’d be working along side industry experts and researchers. We’re building a company culture taking the best engineering and cultural practices from Google and mixing in the freedom of working at a startup.

You can publish white papers and speak at conferences. We’re working closely with Google (TF + cloud teams) so you’ll also get access to that resource. You can use your favorite tools, including PyTorch and FastAI, and get access to powerful VM’s.

If you’re interested in the current position, or want to reach out and stay in touch for when we start hiring again, or want to collaborate because you’re working on a similar problem, connect with me on linkedin (mention hn/yc) or email me: tomasv at deepfraud dot com.

12 days ago
Deep learning Natural Language Processing Python

Hi folks, I recently left Google (8 years, 4 months, 4 days :)) and co-founded a deep learning startup. We’re building a large scale model to learn human behavior and detect, predict, and explain suspicion and fraud. Our focus is on insurance involving human beings, accidents and their health - such as disability, workers’ compensation and other areas. “Insurance” may sound like a boring problem domain, but it’s far from that. On the ethical side, it’s a huge problem, with estimated $40B-$80B paid out to fraud annually, with very little recourse to the fraudsters. And we’re all paying for it. The detection process today is almost entirely manual/human intuition based, not data driven. Our mission is to put a stop to this loop hole by leveraging large historical data sets and deep learning and introducing a modern, systematic real-time detection approach. We put it in the hands of professional detectives. We provide realtime monitoring, alerts, explanations and supporting evidence. The data set is a time series of events starting with an accident + injury, followed up by many diagnosis, interviews, witness statements, medical reports; treatments, with some final outcome. The outcome can be a full recovery, partial disability or a permanent disability. This time series is represented by a large structured as well as large unstructured corpus (10s of millions of documents). The problem domain is super interesting - we’re building a real world “Minority Report” to stop bad actors from abusing the system, and help the good actors get paid immediately, and stop bad medical providers from doing evil. There is a lot of interesting NLP work. The data sets you’d be working with involve individual demographics, job histories, geography mapping, health history, injury causes, recovery and treatment methods, objective witness statements and subjective claimant reports, industry codes, criminology, graph theory and workplace safety, to name a few.

We're looking for one more data engineer and/or data scientist with strong programming python skills to join the team. We are super early so you’re getting in on the ground floor, but we are well funded (closed a large seed round recently from several top-tier VC’s in SF and NYC). We already have a large data set and a customer and are seeing early success with our initial model. Our office is in the middle of Manhattan. You’d be working along side industry experts and researchers. We’re building a company culture taking the best engineering and cultural practices from Google and mixing in the freedom of working at a startup. You can publish white papers and speak at conferences. We’re working closely with Google (TF + cloud teams) so you’ll also get access to that resource. You can use your favorite tools, including PyTorch and FastAI, and get access to powerful VM’s. If you’re interested in the current position, or want to reach out and stay in touch for when we start hiring again, or want to collaborate because you’re working on a similar problem, connect with me on linkedin (mention hn/yc) or email me: tomasv at deepfraud dot com.

Thanks all!

-Tom

12 days ago
Deep learning Natural Language Processing Python

Hi folks,

I recently left Google (8 years, 4 months, 4 days :)) and co-founded a deep learning startup. We’re building a large scale model to learn human behavior and detect, predict, and explain suspicion and fraud. Our focus is on insurance involving human beings, accidents and their health - such as disability, workers’ compensation and other areas.

“Insurance” may sound like a boring problem domain, but it’s far from that. On the ethical side, it’s a huge problem, with estimated $40B-$80B paid out to fraud annually, with very little recourse to the fraudsters. And we’re all paying for it. The detection process today is almost entirely manual/human intuition based, not data driven. Our mission is to put a stop to this loop hole by leveraging large historical data sets and deep learning and introducing a modern, systematic real-time detection approach. We put it in the hands of professional detectives. We provide realtime monitoring, alerts, explanations and supporting evidence.

The data set is a time series of events starting with an accident + injury, followed up by many diagnosis, interviews, witness statements, medical reports; treatments, with some final outcome. The outcome can be a full recovery, partial disability or a permanent disability.

This time series is represented by a large structured as well as large unstructured corpus (10s of millions of documents). The problem domain is super interesting - we’re building a real world “Minority Report” to stop bad actors from abusing the system, and help the good actors get paid immediately, and stop bad medical providers from doing evil.

There is a lot of interesting NLP work. The data sets you’d be working with involve individual demographics, job histories, geography mapping, health history, injury causes, recovery and treatment methods, objective witness statements and subjective claimant reports, industry codes, criminology, graph theory and workplace safety, to name a few.

People pull crazy schemes every day and get away with it. Few excellent narratives:

ProPublica – 19 Jul 19

Health Insurers Make It Easy for Scammers to Steal Millions. Who Pays? You. —... Health insurers are regarded as fierce defenders of health care dollars. But the case of David Williams shows one reason America’s health care costs continue to rise. The personal trainer spent years posing as a doctor and billing the nation’s top...

ProPublica – 2 Oct 18

A Surgeon So Bad It Was Criminal — ProPublica Christopher Duntsch’s surgical outcomes were so outlandishly poor that Texas prosecuted him for harming patients. Why did it take so long for the systems that are supposed to police problem doctors to stop him from operating?

We’re looking for one more data engineer and/or data scientist with strong programming python skills to join the team. We are super early so you’re getting in on the ground floor, but we are well funded (closed a large seed round recently from several top-tier VC’s in SF and NYC). We already have a large data set and a customer and are seeing early success with our initial model. Our office is in the middle of Manhattan.

You’d be working along side industry experts and researchers. We’re building a company culture taking the best engineering and cultural practices from Google and mixing in the freedom of working at a startup.

You can publish white papers and speak at conferences. We’re working closely with Google (TF + cloud teams) so you’ll also get access to that resource. You can use your favorite tools, including PyTorch and FastAI, and get access to powerful VM’s.

If you’re interested in the current position, or want to reach out and stay in touch for when we start hiring again, or want to collaborate because you’re working on a similar problem, connect with me on linkedin (mention hn/yc) or email me: tomasv at deepfraud dot com.

12 days ago
Machine learning

Do you love to build software but miss having an impact on the physical world? We’re hiring for ML and general software engineering (and hardware/EE) to do just that! Come join us to build world-changing tech (and play with some cool drones). --> https://www.epirussystems.com/careers

Voltus 13 days ago

Voltus | Backend/Frontend/Full Stack | NY/Remote | Full-Time

We are a team of engineers and energy experts working to get our customers paid for using less energy. We work with large energy consumers to identify demand response and distributed energy resources. We aggregate those resources into virtual power plants that we sell to utilities and other buyers in wholesale energy markets, splitting the revenue with our customers. Our virtual power plants are cleaner and cheaper than the coal and oil plants they replace. Along the way we have to solve the hard system reliability problem of making hundreds of commercial and industrial sites behave like a single, reliable power producer.

We're currently hiring across the stack--check our posts for more info.

https://www.voltus.co/join-us

Remote Full-time
OpSourced 13 days ago
Ansible Capistrano Elixir Java JavaScript Puppet Python Ruby Terraform

OpSourced | DevOps Engineer | Full-Time | REMOTE | Hiring Junior to Senior Levels

https://opsourced.com

OpSourced is a team of DevOps Experts providing DevOps-as-a-Service, Lift & Shift Operations, and project based DevOps consulting services for companies around the globe. We give our customers the ability to reach out to us like they would an internal DevOps team.

You'll work with all the major cloud providers and on-prem solutions, while managing fleets of instances and containers, along with their automation, orchestration, monitoring, and alert response. If you've ever wanted to work at a scale that few companies do, you'll find the right challenge here with us!

Minimum Qualifications :

* Proficient in Ruby, Python, Elixir, Java, or Javascript

* Experience with config management or automation frameworks. (i.e. Ansible / Terraform / Puppet / Capistrano)

* Experience maintaining production infrastructure in a Linux Environment.

* Strong DevOps experience and Customer Service mindset.

* Self Motivated and Diligent.

* Ability to participate in on-call/pager rotation.

* U.S. Residents Only.

Interested? Tell us what you can bring to the team by emailing Email is hidden !

Remote Full-time
Nuvyyo 14 days ago
C

Nuvyyo | Firmware Developer ONSITE | Ottawa, Canada

Nuvyyo is a growing consumer electronics and app development company. Founded in 2010 we are leading innovation in the Over-The-Air TV industry in both the US and Canada.

We are looking for a Firmware Developer for our Tablo OTA DVR products. In this role, you will work on existing products as well as exciting opportunities to innovate on our next generation lineup. We are looking for self-starters who will hit the ground running from day one.

Qualifications:

-A strong command of the C programming language and scripting languages

-2+ years of Linux SW development and BSP experience

-Development experience with non-mainstream architectures and cross compilation (e.g. ARC, ARM)

-An understanding of hardware functional specifications

-Basic understanding of multimedia technologies including, encoders, players, and transcoders (e.g. AC3, AAC, H.264, H.265, MPEG-2)

-Experience with FFmpeg library or similar media transcode frameworks is a plus

For more information, click the link below:

http://www.nuvyyo.com/jobs/firmware-developer.html

Onsite
Prisma 14 days ago
Golang Rust TypeScript

Prisma | Multiple Roles | Berlin, DE | https://www.prisma.io/

Prisma is building the data layer for modern applications. Prisma is a suite of open source database tooling to replace traditional ORMs and simplify database workflows.

We are a small and dedicated team in Berlin. We're focused on making advanced data infrastructure developed at large tech companies accessible to all developers around the world.

Prisma has a really tranquil office located in beautiful Prenzlauer Berg and for those interested in moving to Berlin, we offer help with relocation!

We work in Rust, TypeScript, and Go.

Open roles:

- Backend engineer: https://boards.greenhouse.io/prisma/jobs/4110596002

- Engineering manager: https://boards.greenhouse.io/prisma/jobs/4110596002

- Junior designer/illustrator: https://boards.greenhouse.io/prisma/jobs/4374285002

- Solution engineer: https://boards.greenhouse.io/prisma/jobs/4110593002

- Technical writer: https://boards.greenhouse.io/prisma/jobs/4138182002