Remote Artificial Intelligence + Cloud + System Jobs

## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, an AI-powered software for electric vehicle (EV) charging.\n\nWe're team of engineers and energy experts, building the new way of EV charging. We help companies to install more charging stations for electric vehicles and to build intelligent electric fleet systems. Our cloud-software is used around the world and has received major industry prizes. We're based in Europe and in the U.S. and are venture backed with leading investors from around the world. We are a remote-first team with current members in Berlin, New York and other locations in Europe.\n\n([link to website](https://www.ampcontrol.io/))\n\n\n[→ click to see all jobs ](https://www.notion.so/Open-Jobs-at-Ampcontrol-io-e2879a73ba344daea679556a7391fcaf)\n\n\n## 🌎 Our Mission\n\nWe're on a mission to help the transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our backend system, including the core optimization system and our customer facing APIs\n- Develop our Python3/Flask API further, with an eye on performance and scalability\n- Work with data scientists to build a stable and powerful architecture for ML-applications for real-time optimization\n- Build, maintain, migrate databases and accommodate time-series data\n- Write clean and easily maintainable code for our optimization engine with a focus on reliability and scalability\n- Work very closely with other developers, data scientists, product management and sales\n- Contribute to the improvement of our software architecture and development process\n- Keep in touch with new and upcoming technologies and be eager to offer new solutions\n\n## ⭐ You have\n\n- More than 2 years of professional experience in software development\n- Solid experience in Python programming\n- Experience in at least one cloud computing platform\n- Experience in SQL\n- Working knowledge of advanced logging, monitoring, metrics and alerting\n- A good understanding of DevOps tools and methods, including end-to-end testing\n- Fluency in English for verbal and written communication is required\n- Comfortable working in remote environments\n- Motivation to work on electric vehicles and sustainability\n\n## 📚You're willing to learn about\n\n- IoT Hubs and IoT protocols\n- NoSQL and time-series databases\n- Docker and Kubernetes\n- The electric vehicle charging domain\n- Working with and transforming code written by data scientists\n\n \n\nPlease mention the words **LAMP PROBLEM GROUP** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yMzY=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nUnited States, Canada, North America, EU

\nPosition: Sr. or Team Lead Machine Learning Engineer, Full Time\n\nLocation: Fully Remote anywhere in the USA or optional office location in SF\n\nAt Cisco Meraki, we know that technology can connect, empower, and drive us. Our mission is to simplify technology so our customers can focus on what's most meaningful to them: their students, patients, customers, and businesses. We’re making networking easier, faster, and smarter with technology that simply works.\n\nAs a Machine Learning engineer on the Insight team, you will collaborate with firmware and full stack engineers to design, plan, and build customer-facing analytics tools. Meraki's cloud-managed model offers a unique opportunity to draw upon data from millions of networks across our wide ranging customer base. The goal is to use the rich telemetry data available from these networks and combine it with the power of machine learning and the cloud to build an analytics engine that can provide intuitive, yet detailed insights into the performance of customer networks.\n\nWhat you can expect:\n\n\n* Build a system that ingests real-time streams of network performance data and identifies network performance degradation, optimizing for both low latency and few false positives\n\n* Design models that predict network performance for customers to help them understand their network performance issues\n\n* Work with firmware and backend engineers to design uplink selection algorithm for SD-WAN\n\n* Collaborate with full stack engineers to make intuitive data visualizations and integrate predictions seamlessly and powerfully into the user experience\n\n* Build, maintain, and monitor data pipelines and infrastructure for training and deploying models\n\n\n\n\nWhat we're ideally looking for:\n\n\n* 5+ years of relevant industry experience\n\n* Advanced training in mathematics, statistics, and modeling\n\n* Experience programming in Python AND some other programming language like scala, golang, ruby, etc.\n\n* Experience working with algorithms and building models for supervised and unsupervised learning.\n\n* Experience using data processing and ML libraries such as Pandas, Scikit-Learn, Tensorflow, Keras, etc.\n\n* Experience working with distributed computing engines like Apache Spark, etc. and real time data streaming services like Amazon Kinesis.\n\n* Experience implementing and monitoring data pipelines.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Executive, Amazon, Cloud, Python, Apache and Backend jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

Netdata is looking for a Senior Machine Learning Engineer with extensive experience in building ML pipelines and highly-available production-grade services powered by sophisticated deep learning, statistical or other machine learning methodologies and models. Help us build the most advanced anomaly detection, forecasting, incident prevention and alerting system in the world!\n\nAs a Senior Machine Learning Engineer at Netdata, you will be responsible for building anomaly detection, forecasting and incident prevention, classification and identification systems to power both our open source netdata package and our commercial cloud offering. To do this you will need to explore and experiment with both unsupervised anomaly detection on streaming data, as well as supervised anomaly detection using ensembles of deep-learning and statistical approaches.\n\n**Why join Netdata**\n\n* We are a team of industry veterans and senior engineers that prioritize performance and ease of use over anything else.\n* We embrace remote work and great work-life balance.\n* We are solving hard problems that affect thousands of organisations worldwide.\n* We are deeply committed to Open Source and love our community.\n* We deeply care about system performance.\n\n**When you join Netdata, you can expect**\n\n* A competitive salary.\n* A generous stock plan.\n* To join a venture-backed startup working with some of the most sophisticated investors of Silicon Valley.\n* To be part of our world-class team and interact with an amazing community.\n* To see first-hand how to grow and succeed in an engineering-first, open source-based company.\n* To find a culture that rewards doers.\n\n*Netdata is an Equal Opportunity Employer. We are committed to providing an inclusive work environment free of discrimination and harassment for everyone, regardless of race, color, religion, national or ethnic origin, sex, age, sexual orientation, gender identity, disability, sexual orientation, marital status, military service or other non-merit factor.*\n\n# Responsibilities\n * Build ML/statistical models applicable to large-scale monitoring and telemetry applications, including but not limited to detecting anomalies based on streaming data, in batch, whether that data is annotated (supervised) or raw (unsupervised)\n* Build the accompanying algorithms and pipelines capable of training, validating, testing and serving the models you designed\n* Bulid highly-available services to serve the models on production\n* Work with our backend engineers to integrate your models throughout Netdata cloud ecosystem\n* Work with our open source community to integrate your models in the open source Netdata agent\n* Stay up-to-date on emerging technologies. \n\n# Requirements\n**Required experience**\n\n* A Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics or equivalent. (Ph.D or higher degrees are highly preferred)\n* 3+ years of experience with Deep Learning and/or Anomaly Detection in production systems. We expect you to be a competent engineer and comfortable with understanding and implementing high-availability and high-performance systems.\n* Familiarity with Tensorflow and/or PyTorch.\n* Familiarity with Python for the creation of ML models and pipelines.\n* Self motivated, conscientious, with a problem-solving, hands-on mindset.\n* Perfectionist where it matters, but also pragmatic, with effective time management skills.\n* Team player, eager to help.\n* Excellent command of spoken and written English\n\n**Preferred experience**\n\n* Familiarity with distributed systems, modern software architectures and environments, including Orchestrated Containers (e.g. Kubernetes), Microservices etc.\n* Familiarity with Systems Monitoring concepts, tooling and frameworks\n* Experience in building Anomaly Detection systems\n* Open source contributor\n* Agile Development Methodology \n\nPlease mention the words **JUMP WAVE WALL** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4yMzY=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior, Engineer and Cloud jobs that are similar:\n\n $70,000 — $125,000/year\n \n\n#Location\nUTC -3 to UTC +5

\nIf you’re smart, passionate about technology and enjoy solving complex technical challenges then you should apply to join our best-in-class tech team. We believe that people are our most important asset and one worth protecting. As such, we’re known for creating an enviable working culture to keep our employees smiling on a day to day basis. \n\nWe offer things such as flexible hours, remote working, fortnigtly hackathons and freedom to work on projects of individual interest to name just a few. In fact, our impressive working culture has recently earned us 1st place in the Sunday Times 100 Best Companies to Work for 2015. \n\n\nWe have two different positions.\n\n\n1. Senior Developers who would like to lead a team / projects - We envisage the split here being about 70% hands-on coding and 30% leading the team, liaising with product owners on prioritization work, attending iteration planning meetings with stakeholders, delegating tasks to dev team, and making sure we are following Lean / Agile processes correctly.\n\n\n2. Senior Developers who want to be 100% coders (non-lead) - This role will be 100% hands on working with our other Devs to code beautiful products for our customers! \n\n\n\nSome of our Current Projects: \n\nSeedy - Our custom built CMS. A hybrid, markdown based, sinatra driven CMS but with a TDD undercurrent. Content changes are no different to backend refactoring. Templates are written in a custom DSL that enforces our style guide while still supporting iterative changes and automatic deployment. Across the company people (including business teams) are now being tagged in pull requests and even writing code!\n\nAerie - We’re overhauling our data and analytics architecture. Using the latest approaches in event streaming, we are building a brand new data pipeline based on Kinesis and Redshift that will support the analysis of both structured and semi-structured data in near real-time. This will provide rapid and intuitive customer insight to our decision makers, while also providing exciting machine learning capabilities back to our core product offering.\n\nAAA - We are enhancing our new world platform. Our current focus is on security with a view to building out ‘infrastructure as code’ using tools such as AWS CloudFormation, AWS OpsWorks, Chef/Puppet and many others. Essentially, we believe a well architected system allows us to avoid unnecessary complexity and can enable individuals to generate great output.\n\nOur Tech Stack\n\n\n\n\n* Ruby\n\n* Rails                                                                                                                            \n\n* Scala  \n\n* MongoDB\n\n* RabbitMQ\n\n* Puppet/Boxen\n\n* AWS                                                                                                                        \n\n* Hadoop / RedShift / Looker /Tableau\n\n* Cucumber / RSpec / Jasmine                              \n\n* SASS / HAML / HTML5 / CSS3 / JavaScript / CoffeeScript / jQuery\n\n\n\n\n\nThis list changes all the time, as being on the lookout for new technology trials and opportunities is part of our code. We don’t believe in limiting ourselves, or the company. If there are other tools that could get the job done better, we’re committed to exploring them.\n\nThings we believe in:\n\n\n\n\n* TDD / BDD\n\n* Continuous Delivery\n\n* Pair Programming\n\n* Build – Measure - Learn\n\n* Active participation to open source\n\n* Our business people writing code (we've not seen this anywhere else!)                                \n\n* Cross functional teams (Dev / QA/ Data / UX / Product owners all sitting together)            \n\n* Release early and learn quickly - we release our software to production around 15 times a day on average!        \n\n* Continuous learning - we look to pay for courses and conferences and actively encourage our Devs to get out and about in the community. We have even sent some of our Devs to Miami, Portugal and Barcelona for conferences recently.                                                              \n\n* Have fun! We do ruby coding challenges during lunchtimes over pizza, we have desk beers on a friday, we have several social events throughout the year, we do fortnightly hackathons, we have afterwork clubs like: UX, Data science and Robotics club, we have flexible working hours, weekly 'show n tell' sessions, and lot's more!                                                                                                 \n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to JavaScript, InfoSec, Java, Cloud, CSS, Quality Assurance, HTML, Python, Scala, Ruby, Admin, Machine Learning, Data Science, Senior, jQuery, Sys Admin, Backend, Design and Digital Nomad jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n