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Building the first AI that understands code

Senior Software Engineer - Applications Team

€49k – €53k • 0.095% – 0.095%
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Location: This is a remote position however can also be based from our Madrid office.
All remote applicants must be based between the San Francisco and Moscow Timezones

Compensation: 49-53,000€ + 0.195% stock options

At source{d} we are building the data platform that enables engineering leaders & teams to use source code as data for getting insights on their people, processes and technology—as well as feeding sophisticated Machine Learning on code algorithms which power the next generation of developer tooling, as assisted code review. We are an open-core company built around our Open Source projects. We have raised over eight million USD so far and as we develop our products and expand our business, we are currently looking to grow our team.

About the Role:

• As an Applications team engineer you will have a two-fold role: on one hand it's a Data Engineering, building production-level pipelines to collect and extract data from all the git repositories in the world. On the another hand it's applied Machine Learning, by productionizing Machine Learning research and delivering it as part of end-user applications.
• You will be expected to have strong backend coding skills in at least one programming language and very good algorithmic skills. Scala coding skills and knowledge about Apache Spark aren't required but will be highly appreciated.
• Building tools for day to day use by software engineers require good understanding of modern development processes and approaches: Unit/Integration testing, scrum, code reviews, CI/CD, Containers, etc.
• As you will be working closely with the Machine Learning team - strong communication skills and interest in Machine Learning, data process, and visualization are more than welcome.
• You will deal with models built using modern ML stacks written in Python and C++ such as Tensorflow, Tensorboard, CUDA, so familiarity with any of those tools is a plus.

Engineering at source{d}

Engineering consists of five different teams that represent the architecture of our product:

• Applications (Scala, Go, Python, and Frontend tools): Builds CLI/Web applications combining ML research with our stack.
• Machine Learning (C++ and Python): Performs R&D for Machine Learning on Source Code.
• Data Retrieval (Scala and Go): Builds the technology that finds, fetches, stores and analyzes over +60M Git repositories.
• Language Analysis (Go and another +15): Focused on Babelfish, the universal code parsing server.
• Infrastructure (Go and Python): Manages a cluster of on-prem bare metal servers with Kubernetes and CoreOS, and GCP for user facing applications.

We care about Open Source. Everything we develop is available for anyone to read, modify, and contribute (under Apache 2.0 or GPL3 license). Some examples of our projects are:

• bblfsh/bblfshd: Babelfish server, turning code into Universal Abstract Syntax Trees (UASTs).
• src-d/community edition: a library for running scalable data retrieval pipelines that process any number of Git repositories for source code analysis.
• src-d/go-git: a highly extensible Git implementation in pure Go.
• src-d/hercules: Git repositories analysis framework with batteries, built on top of go-git and UASTs.

If you are interested in understanding how we do code reviews, please take a look at the PRs on any of these projects. You can also learn more about our engineering methodology here.

Culture

• source{d} is a company for developers by developers. We firmly believe in always doing what's best for the individual developer in the community. Our team consists of members who are passionate about programming. To understand our culture better, read more about it here.

• At the moment, we are 25+ people from 10 different countries working closely together from our office in Madrid. We are more than happy to sponsor you a visa and guide you and your family through the whole process if you decide to come to work from our office, but you may also choose to work remotely. Currently, we have remote team members in USA, Portugal, Ireland, France, Belgium, Poland, Estonia and Russia.

• For those wanting to work from one of our offices, we fully support the visa and moving process for you and your family.

• At source{d}, we have a transparent salary policy which we feel strongly about it. Your seniority level will be determined during the last round of on-site interviews.

• At source{d} all of the projects we work on are public on GitHub and the vast majority are open-source under licenses such as Apache 2.0 or GPL3.

• We don't just believe in open-source, we also believe in radical transparency as an organization, there we publish everything about the company at github.com/src-d/guide.

Perks

• We go to conferences and other developer events!
• Open Source Days, every second Monday, you are encouraged to work on any OSS project you choose.
• Flexible hours, set your own schedule that fits you.
• Free books. We will buy any books that help you learn & grow.
• If you choose to work from one of our offices, you will enjoy a comfortable and spacious environment.
• Annual summer and winter Christmas parties and a hackathon retreat are held in Madrid and all team members are flown over for it.







source{d} at a glance

Building the first AI that understands code

source{d} focuses on Open Source and Technology. Their company has offices in Remote. They have a small team that's between 11-50 employees. To date, source{d} has raised $6M of funding; their latest round was closed on October 2016.

You can view their website at http://www.sourced.tech or find them on Twitter and LinkedIn.

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