Golang Quantum Metric Jobs in Germany

Job Description

Back is a young software company from Berlin with the mission to enable companies to focus on what they do best. We’re building a collaboration and automation platform to untangle repetitive questions and workflows around the workplace.

You will join our experienced engineering team to build our machine learning pipeline and develop some of our first machine learning supported features. If you are excited about building highly scalable solutions built on a modern stack using best practices then this role is perfect for you.

This position is based in our growing HQ in Berlin.

🔨 What you will do

• You will take ownership of automation features from the beginning - understanding the problem - to the end - deploying the model on production -.
• You will setup the environment to speed up our machine learning development.
• You will implement and tune state-of-the-art ML models to get the best results given the available data.
• You will effectively communicate and document your approach, progress, results and challenges with the team.
• You will help us grow the machine learning team: enforce best practices, interview candidate, etc.

👩‍🔬 Who are we looking for

• You can quickly grasp the business context of the problem and using your knowledge of how the model is going to be used, you can choose the right evaluation metric.
• You can dig deep into the data to choose the right dataset split and identify pitfalls arising from non-iid samples.
• You can combining both your practical and theoretical ML knowledge to set the right priorities when choosing which idea or approach to try next.
• You find the simplest solution to solve complex problems programmatically.
• You find joy in delivering features to your customer rather than doing academic research.
• You like to work in a team and challenge your choices with your peers.

🦾 What challenges will you face

• You'll work on complex NLP problems touching multiple domains: multiple language understanding and feature extraction.
• You'll work on unbalanced datasets, not all our customers are the same size.
• Our customers have different processes, different vocabulary. You will face dual-domain adaptation problems.
• The good news: our application generates labeled data and we capture all the signals of our users' interactions, so you'll focus on training models, not labelling data. Yeah!

🏅Our engineering values

Radical honesty

• We discuss problems and mistakes in the open, with the team, to share our knowledge, opinion, and find the best solutions to make sure they do not happen again.
• We discuss behavioral or personal problems in private, only with the people being involved.
• Our discussions focus on the problem, not on people. People are rarely the problem and we always assume good faith.

Radical transparency

• We do not hide anything inside and outside the team. We voluntarily and constantly share our successes, our mistakes, and our progress.

Radical open-mindedness

• We share our knowledge and experience to find the best solutions as a team, never to be right or the smartest in the room.
• We share our opinion only when we have the willingness to change it.

Radical pragmatism

• We design strategic solutions with a growth mindset. We seek for solutions driving progress at the fastest pace and lowest cost to create progressive long-lasting impact.
• We refuse dogma. We make the best decision for ourselves, in our context.

Customer-first

• We consider success as having a high customer impact and satisfaction.
• Each decision we make must have sooner or later a positive impact on our customers.
• We privilege customer satisfaction over our comfort.
• We refuse to compromise the quality of our product and customer experience.

Camaraderie

• There is no place for competition or ego.
• We thrive at helping each other and sharing knowledge to contribute to everyone’s growth.

🚀 Why Back?

• You’ll join a company that believes in a strong engineering culture. We use modern technologies, best practices, within a team of smart people who want to change the way people work.
• You’ll have the opportunity to build great infrastructure. You can be as creative as you want as long as it creates a better product.
• You'll work on a modern and robust stack: Go, gRPC, Protobuf, Python, GraphQL, Typescript and React.
• You will team up with the founders to create a great product with your signature on it.
• We love open-source and will support you in the process of contributing to libraries we use or open-sourcing some of our work.
• You’ll join a company at an early stage and you will receive an attractive package containing salary and shares.
• You'll join an amazing team who loves food. Want to know who could be your future colleagues? Have a look here.

Job Description

PubNative is a mobile publisher platform that serves native ads via a scalable and flexible API for mobile apps and web. Our publisher-first approach focuses on the specific needs of each publisher across all verticals. Our ad serving technology is used by developers and publishers around the world.

Our system consists of a myriad of high load Golang-based APIs, iOS SDKs, Ruby/Rails 5 dashboard, Scala and Spark data- and ML pipelines, Druid OLAP system, running on a Mesos and Kubernetes cluster.

We're always on call to keep our networks up and running, ensuring our users have the best and fastest experience possible. We follow “Infrastructure as Code” model and immutable deployment strategies.

We are looking for a Site Reliability Engineer (m/f) to help us build and operate infrastructure platforms, and provide technical consultancy to engineering teams on how to build reliable, scalable and efficient services.

Our Responsibilities: - You help us build a hybrid, poly-cloud-provider environment - You help to design, develop and operate monitoring, tracking platforms - You drive scalability and operability of supported systems/infrastructure - You participate in on-call rotation and be on-call for the services you build and support - You work with other teams to provide consultations in systems architecture support for new and existing production systems - You write code so that you can automate tasks, support SLA for Production Systems, you support other engineering teams on reliability, scalability and efficiency topics - You manage OS image/templates via Packer, provision infrastructure via Terraform - You support CI/CD and make new pipelines - You engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation, and refinement - You support services before they go live through activities such as system design consulting - You maintain services once they are live by measuring and monitoring availability, latency, and overall system health

Our Requirements: - 3+ years of experience in a Site Reliability role/Full-stack developer - Experience with public cloud providers (AWS, Google Cloud, Digital Ocean, etc.) and Infrastructure as Code (Terraform) - Strong programming skills and familiarity with modern programming languages: Go, Ruby, Python, Shell etc. - Knowledge of managing docker containers and microservices via Kubernetes - Experience building and monitoring systems and metric collection pipelines - Track record of building automation and solving multi-datacenter/clouds infrastructure problems - Knowledge of algorithms, data structures, complexity analysis, software design and reverse engineering - Interest in designing, analyzing and troubleshooting large-scale distributed systems - Experience working with source control - Git - Experience with continuous integration platforms such as TeamCity, Jenkins, CircleCI etc. - Understanding of Agile, DevOps practices such as CI/CD, automated testing etc.