Quora | {ML, ML infrastructure} {Engineer, Engineering Manager} | Mountain View, CA | Full-time, ONSITE
Quora’s mission is to share and grow the world’s knowledge. We are a web-scale Library of Alexandria, a place where people go to learn about anything and share everything they know.
At Quora, we use Machine Learning in almost every part of the product - feed ranking, answer ranking, search, topic and user recommendations, spam detection, etc. Within the past few months we released a large question sincerity dataset [1], improved our statistical tests for ratio metrics [2], and introduced a new feature that allows people to curate collections and form communities around shared interests and tastes [3].
As a Machine Learning expert, you will have a unique opportunity to have high impact by advancing these systems, as well as uncovering new opportunities to apply Machine Learning to the Quora product. As a ML Infrastructure Expert, you will play a key role in developing tools and abstractions that our other developers would build on top of.
ML engineer: https://jobs.lever.co/quora/4ea5b0e2-b570-439f-a3a1-1f301042...
ML infrastructure engineer: https://jobs.lever.co/quora/5ae871e6-12a7-40d2-829a-64041e24...
ML eng manager: https://jobs.lever.co/quora/447265db-74b3-4970-bb46-11083af8...
ML infrastructure eng manager: https://jobs.lever.co/quora/6be9efa2-49db-4fe1-bf42-fe45e5ae...
You can apply online at one of the links above and mention my HN user name. Or email my HN username, with the underscore removed, at quora.com.
[1] https://engineering.quora.com/Dataset-release-and-Kaggle-com...
[2] https://data.quora.com/A-Robust-Statistical-Test-for-Ratio-M...
Chronicle Security | Software Engineers | Full-Time | ONSITE | Mountain View | https://chronicle.security/
Chronicle was born in 2016 as a project within X, Alphabet’s moonshot factory.
We are experts who’ve designed and run Google’s own internal security infrastructure. We are industry veterans who’ve brought other leading products to market. And we are growing. Join us!
https://careers.google.com/jobs#t=sq&q=j&li=20&l=false&jlo=e...
Email staffing at chronicle.security for more info about the open positions, or contact me directly for an engineer's perspective on working here :)
Arm Treasure Data | Senior Solution (Sales) Engineer | Mountain View, New York, Chicago, and India | www.treasuredata.com
Arm Treasure Data, the leader in Enterprise Customer Data Platforms, is looking for Senior Solution Engineers with a passion for technical pre-sales to join our growing Solution Engineering practice.
Candidates should have:
- Prior sales and/or client-facing experience
- Strong background in Adtech/Martech
- Proficiency in data & technology (BS CS or similar)
- Deep knowledge and experience in SQL & Python
The Arm Treasure Data enterprise Customer Data Platform simplifies data management. We’re here to help you harness and analyze the information you need to create a data - driven enterprise.
Please email smitchell+hn@treasure-data.com to learn more or apply directly here: https://www.treasuredata.com/company/careers/jobs/?team=Sale...
Skuchain | Full Stack Reactjs | System engineer nodejs GO-lang | Blockchain | Mountain View | Full Time
Skuchain provides a blockchain based platform that increases visibility, agility, working capital and lowers COGS for enterprise supply chains.
We are Venture funded, revenue generating and thought leaders in our space.
send resume to: jobs@skuchain.com
PlanetScale | Full Stack Engineer, Site Reliability Engineer (SRE) , Front End/Back End Engineers, Sales Engineers | Mountain View, Ca | Full-Time | https://planetscale.com/careers
PlanetScale is an startup building the worlds most scaleable database systems. We were founded by some of the engineers behind the open source product Vitess ( vitess.io ) and we are building out the ability for anyone to run Vitess clusters at the same scale as YouTube. For any candidates tired of the quizzes and puzzles of traditional interviews ask us about our alternative hiring path. Email careers@planetscale.com or apply online at planetscale.com/careers
Waterline Data (https://www.waterlinedata.com/) | Hyderabad, India | Full Time
Waterline Data is the Smart Data Catalog company. Our software automatically discovers, organizes, catalogs and raises trusted data above the waterline (For a more complete description of our product, see our website). We are headquartered in Mountain View, CA. Waterline is backed by leading investors. We provide a supportive, friendly, and healthy environment with competitive benefits and perks!
Our tech stack includes Hadoop, HDFS, Hive, Spark, Solr, Lucene, Java, JAX-RS REST and multiple relational databases on the backend and Angular2 Typescript, Angular Material 2, SCSS on the frontend. We work on all major hadoop distributions like HDP, CDH, MapR and EMR, Google Cloud Dataproc and Azure HDInsight.
We are scaling our engineering team, Dev, Performance and QE, in Hyderabad, India and are looking to hire exceptional talent at all levels of experience in the following areas:
Cloud Engineering: AWS, GCP, Azure, EMR, Google Cloud DataProc, HDInsight, BeanStalk, AppEngine, IAM, Docker, Kubernetes, Hadoop, Spark
Search Engineering: Solr, Lucene
Full stack Engineering: Java, JAX-RS, Jersey, Jetty, Angular Typescript, Angular Material
Quality Engineering: Selenium, Automation
Performance Engineering: Java Memory/CPU profiling
and all solid generalists welcome!
Interested candidates, please email your resume to : jobs@waterlinedata.com and mention [HackerNews Jobs] in the subject line and your area of interest in the email.