Pex almost 5 years ago
Machine learning

Pex | Multiple positions | REMOTE (US and EU), FULL-TIME | https://jobs.lever.co/pex

Pex is building VISA for digital rights. Our Attribution Engine (https://pex.com/attribution-engine.html) is being deployed on most of the UGC platforms enabling any creator to be paid for their content, and be able to freely mix and remix already copyrighted content without worrying about takedowns.

We're looking for senior engineers for positions listed bellow:

- Front-End Engineering Leads / Managers - Senior Front-End Engineers - Product Managers - Data Engineers & Data Architects - Machine Learning Engineers & Researchers - Site Reliability Engineers - Senior Designers For all employees, we offer:

- equal salary within US and EU - 30 days of paid time off - day off on your birthday - fully covered health benefits (gold/platinum) [70% coverage for dependents] - 4 months paid parental leave - $300 monthly limit on work related expenses (books, home office, ...) - balanced work/life (no weekends, late nights, extra long days, ...) If you want to learn more, read about our hiring process (https://pex.com/blog/interviewing-at-pex-heres-what-you-can-...). You can reach out to us at Email is hidden

Remote Full-time
Borg almost 5 years ago
GitHub Hive JavaScript

Borg (hive.one) | Berlin | REMOTE

Product Designer (UX/UI) | Full Time

Data Architect/Engineer | Full Time

Full-Stack JavaScript Developer | Full Time

We are building an algorithm that describes groups of people mathematically. I.e. applying PageRank to the social graph. We believe that this is a missing piece for building decentralized identity.

The first version of the algorithm is live and is using Twitter. We are now working on scaling the algo and generalizing it across podcasts, GitHub, Reddit and other data sources.

Please apply via the form in each job listing on our job board: https://www.notion.so/job-board-954b957e4e9a4bcfb87649840c0c...

Remote Full-time
PitchPodcasts.com almost 5 years ago

PitchPodcasts.com | Worldwide | REMOTE

Helping 198+ podcasts, 1,160+ guests and 2,950,000+ listeners connect every day!

Join our team to help hundreds of podcasts, thousands of users and millions of listeners learn, grow and excel.

If you LOVE podcasting we would love to talk to you.

Currently looking for people with strong skills in one or more of the following:

Growth - Help us connect better with guests, influencers & podcasters.

Product & Development - Help us make podcasting better for those who produce and those who consume it.

No Vacations - You can take as much or as little time off as you like.

Unlimited Pay - the better your performance the less hours you need to work and the more you get paid. Isn't that the way it should be!

Please contact us if you are interested and tell us why you would be a good fit for us and why we are a good fit for you.

Email is hidden

Remote
Mozilla almost 5 years ago

Mozilla | Director of SRE | Full Time | Remote | https://grnh.se/0bb758871us

Mozilla is hiring a Director of Site Reliability Engineering. This is a new position overseeing the team I'm on plus two other teams in a recently-consolidated SRE organization. Come help us make the services behind Firefox and more better! I'm happy to answer any questions I can, just email me at Email is hidden

Remote Full-time
Fangamer almost 5 years ago
Heroku IOS PostgreSQL Ruby Ruby on Rails

Fangamer | Web Developer | Tucson, AZ | Full-time | Onsite (remote-flexible) | https://www.fangamer.com/

Fangamer LLC is a video game merchandise company based in Tucson, Arizona that designs, produces, sells, and ships video game-based merchandise – games, apparel, toys, and other collectibles inspired by games old and new.

Our stack includes:

Ruby, Rails, Postgres, Heroku, Shopify, and small amounts of iOS Email Email is hidden or apply at http://fangamer.com/jobs/

Remote Onsite Full-time
Dwellsy almost 5 years ago
Django ElasticSearch Figma Flask GraphQL Machine learning MySQL PHP Python React.js

Dwellsy | Remote (USA) | Los Gatos, CA | Full-time | Dwellsy.com

Dwellsy is a spunky little search engine for home and apartment rentals that is dedicated to preventing against the kind of fraud found on Craigslist, while being less exclusionary than the other big players in the market. We've basically proven the need for our product and found our product market fit, but are now looking to expand and transform from what was effectively an MVP into something more robust and resilient, and are looking for a few motivated engineers to help us get there.

We're looking for two backend engineers with some combination of experience or interest in the real estate market, data analysis, machine learning / RNN / etc. using Python & Django (or maybe Flask) / MySQL / ElasticSearch. Depending on the candidates, this role may change, but we're looking to refactor content ingestion from external data sources as well as the API and content platform serving the frontend from what is currently a PHP & MySQL backend.

We're also looking for a frontend engineer with an eye for final-level polish and precision. Someone who can at least lightly interact with a RESTful or GraphQL backend, translate Figma designs into fast-rendering React components, and do so while writing clean, readable code.

We've got no hard and fast requirements beyond the above (still developing the job postings) but we're a small, lightly funded team with an aim to tackling big competitors, and are open to candidates of all levels. Interest, curiosity, and a willingness to own problems of all sorts are more important to us than strict experience.

If this sounds interesting to you, please contact Email is hidden, and use the subject line "HN Posting"

Remote Full-time
Kalepa almost 5 years ago
Machine learning

Kalepa | Senior Backend and Full-Stack Engineers | New York, NY & Completely Remote | Full-time | VISA https://angel.co/company/kalepa

Kalepa is a New York based, VC backed, startup building software to transform and disrupt the $1T commercial insurance market. Engineers and designers at Kalepa are solving interesting and challenging problems at the intersection of big data pipelines, cutting-edge machine learning models, intuitive frontend apps, and robust infrastructure. You will be working in a small team building technology from the ground up with the latest stack.

One trillion dollars are spent globally each year on commercial insurance. However, the process for estimating the risk associated with a given business across various perils is still reliant on inefficient and inaccurate forms and research. This information asymmetry leads to a broken set of incentives and a poor experience for both businesses and insurers alike. By combining cutting edge data science, enterprise software, and insurance expertise, Kalepa is delivering precision underwriting at scale. Kalepa is turning real-world data into a complete understanding of risk.

Kalepa's team members have worked at Facebook, Google, Amazon, ClassPass, APT (acquired by Mastercard), the Israel Defense Forces, MIT, Berkeley, and UPenn. We are backed by IA Ventures.

https://angel.co/company/kalepa

Contact: Email is hidden

Remote Full-time
AirGrid almost 5 years ago
Machine learning

AirGrid | REMOTE | London, UK | https://airgrid.io

We have roles open for both back end data engineering and machine learning engineers.

We are building a privacy focused ML platform, with elements that are being open sourced.

Please take a look at edgekit.org and airgrid.io

We are a small globally distributed team, if you crave real startup drop us a line!

Please include your availability and salary requirements Email is hidden

Remote
QuantCopy almost 5 years ago
GraphQL PostgreSQL Python React.js TypeScript

QuantCopy | London | Onsite (remote-flexible)

We are a well-funded pre-seed stage startup with an aim to reorganize the world's information.

The search engines we know and love are well-suited for consumer application, but they are not designed for enterprise use cases. Too many office hours are spent doing repetitive web research which requires basic reading and writing comprehension. Up until now, these tasks have been just out of reach from automation, but with the recent advancements in language modeling they are now possible.

Our first product is a customer analysis platform for enterprise revenue teams. Our customers love our product because it saves them hours of tedious work reading through text to find the insights they need. As such, we've been able to grow organically through word-of-mouth referrals. We are currently preparing for 10X users to onboard.

On a high level - our data pipeline takes a configuration from our users about target companies and questions they need answered, ingests natural language data from the web, and extracts snippets of information about the target companies that answer our users' research questions.

The engineering roadmap for the next 6 months includes implementation of more sophisticated text analytics and processing features, improving the efficiency and scalability of our data pipeline, and exposing more filters and controls to our users via our UI. Our stack is postgreSQL, Python, GraphQL, React & Typescript.

We are a small team of physicists and computer scientists (Cambridge, Imperial, Palantir, CERN) based in London. We will be operating remotely until it is safe to consider an alternative. We intend to open an office in London when it is safe to do so, but we will be flexible to remote.

If you are an experienced software engineer who is interested to learn more please email me at Email is hidden (include HN in the subject pls).

Remote Onsite