Vetted | Backend Engineer, Data Engineer | Remote | Full Time
Vetted is a product search engine that helps people be savvy shoppers. Our technology automates the intensive research process required to make smart purchasing decisions in today’s overwhelming shopping experience. We recently raised our series A and have an ambitious vision to rewire commerce to empower consumers and direct the world’s purchasing intent.
The Senior Software Engineer/Tech Lead on the Search Infrastructure team is responsible for maintaining and developing Python and Typescript code that Vetted's search infrastructure runs on. Accordingly, you will ideally be very strong in Python and either be strong in Typescript or willing to learn. No front-end development experience is required, though full-stack experience is a slight plus
Lustre | Backend Engineer, Data Engineer | Remote | Full Time
Our mission at Lustre is to create savvy shoppers. We’re building a product search engine that automates the product research process so people can buy the truly best products for them without all the gruntwork. There’s a huge amount of technology powering Lustre; automated web scraping, real time pricing, knowledge graph generation, product ranking neural nets as well as core storage/serving infrastructure.
We’re looking for senior backend generalist engineers capable of owning entire sub-systems. We prefer language-agnostic devs capable of both learning new technologies where needed as well as pragmatically executing on existing infrastructure.
Lustre | Backend Engineer, Data Engineer | Remote | Full Time
Our mission at Lustre is to create savvy shoppers. We’re building technology to automate the product research process so people can buy the truly best products for them without all the gruntwork. There’s a huge amount of technology powering Lustre; automated web scraping, real time pricing, knowledge graph generation, product ranking neural nets as well as core storage/serving infrastructure.
We’re looking for senior backend generalist engineers capable of owning entire sub-systems. We prefer language-agnostic devs capable of both learning new technologies where needed as well as pragmatically executing on existing infrastructure.
Lustre | Backend Engineer, Data Engineer | Remote | Full Time
Our mission at Lustre is to create savvy shoppers. We’re building technology to automate the product research process so people can buy the truly best products for them without all the gruntwork. There’s a huge amount of technology powering Lustre; automated web scraping, real time pricing, knowledge graph generation, product ranking neural nets as well as core storage/serving infrastructure.
We’re looking for senior backend generalist engineers capable of owning entire sub-systems. We prefer language-agnostic devs capable of both learning new technologies where needed as well as pragmatically executing on existing infrastructure.
Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net. We are hiring software engineers for our knowledge graph. You don't need any ML or graph database experience, we're mostly looking for strong backend generalists. Some examples of the type of tasks you'll be doing:
* Automatically process massive amounts of structured data.
* Understand the context of the information to create useful connections to aid in predicting the best products.
* Research and implement new traversals of our knowledge graph to gain more leverage from our data.
* Communicate with the machine learning team to get them the data they need for improving recommendations.
* Implement API routes for serving knowledge graph data to the frontend.
* Write and maintain thorough unit and integration tests.
An ideal candidate will:
* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering
* Have 4+ years experience building out backend services (bonus points for ops knowledge).
* Enjoy digging through data to solve problems and find new optimizations.
* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals
Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net. We are hiring software engineers for our knowledge graph. You don't need any ML or graph database experience, we're mostly looking for strong backend generalists. Some examples of the type of tasks you'll be doing:
* Automatically process massive amounts of structured data.
* Understand the context of the information to create useful connections to aid in predicting the best products.
* Research and implement new traversals of our knowledge graph to gain more leverage from our data.
* Communicate with the machine learning team to get them the data they need for improving recommendations.
* Implement API routes for serving knowledge graph data to the frontend.
* Write and maintain thorough unit and integration tests.
An ideal candidate will:
* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering
* Have 4+ years experience building out backend services (bonus points for ops knowledge).
* Enjoy digging through data to solve problems and find new optimizations.
* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals
Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net. We are hiring software engineers for our knowledge graph. Some examples of the type of tasks you'll be doing:
* Automatically process massive amounts of structured data.
* Understand the context of the information to create useful connections to aid in predicting the best products.
* Research and implement new traversals of our knowledge graph to gain more leverage from our data.
* Communicate with the machine learning team to get them the data they need for improving recommendations.
* Implement API routes for serving knowledge graph data to the frontend.
* Write and maintain thorough unit and integration tests.
An ideal candidate will:
* Have experience with graph database technology (or a willingness to learn)
* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering
* Have 4+ years experience building out backend services (bonus points for ops knowledge).
* Enjoy digging through data to solve problems and find new optimizations.
* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals
Email me at [email protected] if interested. We are also hiring for:
Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net.
We are hiring software engineers for our knowledge graph. Some examples of the type of tasks you'll be doing:
* Automatically process massive amounts of structured data.
* Understand the context of the information to create useful connections to aid in predicting the best products.
* Research and implement new traversals of our knowledge graph to gain more leverage from our data.
* Communicate with the machine learning team to get them the data they need for improving recommendations.
* Keep an eye out for new technologies and data sources that can automate tasks or improve the quality of our data.
* Implement API routes for serving knowledge graph data to the frontend.
* Write and maintain thorough unit and integration tests.
An ideal candidate will:
* Have experience with graph database technology (or a willingness to learn)
* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering
* Have 4+ years experience building out backend services (bonus points for ops knowledge).
* Enjoy digging through data to solve problems and find new optimizations.
* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals
Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net.
We are hiring software engineers for our knowledge graph. Some examples of the type of tasks you'll be doing:
* Automatically process massive amounts of structured data.
* Understand the context of the information to create useful connections to aid in predicting the best products.
* Research and implement new traversals of our knowledge graph to gain more leverage from our data.
* Communicate with the machine learning team to get them the data they need for improving recommendations.
* Keep an eye out for new technologies and data sources that can automate tasks or improve the quality of our data.
* Implement API routes for serving knowledge graph data to the frontend.
* Write and maintain thorough unit and integration tests.
An ideal candidate will:
* Have experience with graph database technology (or a willingness to learn)
* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering
* Have 4+ years experience building out backend services (bonus points for ops knowledge).
* Enjoy digging through data to solve problems and find new optimizations.
* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals
Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net.
We are hiring software engineers for our knowledge graph. Some examples of the type of tasks you'll be doing:
* Automatically process massive amounts of structured data.
* Understand the context of the information to create useful connections to aid in predicting the best products.
* Research and implement new traversals of our knowledge graph to gain more leverage from our data.
* Figure out efficient ways to incorporate human-in-the-loop curation for tasks that cannot be automated.
* Communicate with the machine learning team to get them the data they need for improving recommendations.
* Keep an eye out for new technologies and data sources that can automate tasks or improve the quality of our data.
* Implement API routes for serving knowledge graph data to the frontend.
* Write and maintain thorough unit and integration tests.
An ideal candidate will:
* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering
* Have 4+ years experience building out backend services (bonus points for ops knowledge).
* Enjoy digging through data to solve problems and find new optimizations.
* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals
Lustre | Lead Knowledge Graph Engineer | Full-time | Remote
Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net.
You'll be the lead engineer on the knowledge graph. Some examples of the type of tasks you'll be doing:
* Automatically process massive amounts of structured data.
* Understand the context of the information to create useful connections to aid in predicting the best products.
* Research and implement new traversals of our knowledge graph to gain more leverage from our data.
* Figure out efficient ways to incorporate human-in-the-loop curation for tasks that cannot be automated.
* Communicate with the machine learning team to get them the data they need for improving recommendations.
* Keep an eye out for new technologies and data sources that can automate tasks or improve the quality of our data.
* Implement API routes for serving knowledge graph data to the frontend.
An ideal candidate will:
* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering, 3rd party APIs, or incorporating ML.
* Have 4+ years experience building out backend infrastructure.
* Enjoy digging through data to solve problems and find new optimisations.
* Be a good team player as this role will require good communication with both the product & ML teams to understand their problems/goals.
I'm biased but we found that it's so incredibly rare that a single person has extensive experience with all the options, esp when it comes to electronics. We went in a different direction than reviews, slightly more collaborative:
So we built slant.co with the philosophy that all the reading should work ok with JS off, but the contributing systems require JS. The problem is testing, we're a tiny team so I'm not sure the last time we made sure the no js experience works as expected.
Agreed, unfortunately Slant isn't really designed perfectly for this sort of question. We typically deal with things with more emphasis on the Pros/Cons like comparing Linux distros.
We're building a community driven resource to help people choose what products to use. Our vision is to own the consumer experience for discovering products and deciding which one to purchase. We’re currently a small team of three: two experienced developers and a “non-technical” founder whose last job was building satellites for NASA. Our tech Backbone-based front-end, with improvements to allow it to run on both client- and server- side, and as both a single- and multi- page app. RESTful backend written in functional Coffeescript on Node.js, with a temporal postgres database that allows for rewinding to a previous state. The codebase is written in Coffeescript, Jade, and Stylus. Entertaining git history. Gratuitous use of Monads.
We're a multidisciplinary team, so we'd love to hear from full-stack/frontend/backend engineers as well as designers familiar with html/css. We're optimizing more for hiring someone talented, rather than for a specific role. If you’re interested in learning more, email me at [email protected]
The Senior Software Engineer/Tech Lead on the Search Infrastructure team is responsible for maintaining and developing Python and Typescript code that Vetted's search infrastructure runs on. Accordingly, you will ideally be very strong in Python and either be strong in Typescript or willing to learn. No front-end development experience is required, though full-stack experience is a slight plus
More details here: https://jobs.lever.co/vetted/b176bb67-1e6d-4e66-aa6d-b34c836...
Email me at [email protected] if interested.