Remote Cloud + Engineer + Machine Learning + Marketing Jobs

\nMachine Learning Engineer\n\nWe are the company behind WordPress.com, Jetpack, WooCommerce and Tumblr. We are looking for someone to join a team of data scientists and software engineers to build, deploy, and iterate on applications involving time series analysis, machine learning, natural language processing and/or search. \n\nWhat have we worked on recently?\n\nWe help our users to create powerful sites with ease and enable our colleagues to support our users. Our completed and ongoing projects include\n\n\n* Elfbot – a machine learning project to automatically tag chat transcripts from our live chat user support. \n\n* Automated anomaly detection on business and user data.\n\n* A new Jetpack Search experience with instant search and improved relevance.\n\n* A generalized machine learning pipeline to build audiences for marketing and engagement.\n\n\n\n\nHow do we work?\n\n\n* We’re kind to each other and our users – we strive to build a positive, supportive, and inclusive culture of cohesive teams focused on delivering value to our customers.\n\n* We work as a global and distributed workforce resulting in a unique way of working built around our creed. \n\n* We offer flexible work arrangements allowing our team members to work when they feel best.\n\n* We welcome collaboration, and you can be involved in any discussion across our many communication channels.\n\n\n\n\nEnough about us, let‘s talk more about you. The Machine Learning Engineer position might be a good fit if you:\n\n\n* Have hands-on experience in building and deploying data-intensive applications to production. You care about building reliable and testable infrastructure and pipelines. Familiarity with the Hadoop ecosystem and cloud computing services like AWS and GCP will be advantageous.\n\n* Are motivated to propose technical solutions, own software architecture, evaluate technologies and infrastructure, or develop technical roadmaps for future applications. \n\n* Have a demonstrated interest in understanding machine learning techniques and workflows like data preprocessing, feature extraction, and training and evaluation of classification and regression models.\n\n* Bring programming skills in multiple programming languages and paradigms. You are likely to encounter Python, PHP, Scala, and SQL in this role and the idea of using them on a regular basis should not be a blocker for you.\n\n* Are familiar with professional software engineering methods and standards such as coding conventions, code reviews, continuous integration, build processes, testing, and operations.\n\n* Are open and able to travel 3-4 weeks per year to meet your teammates in person. We hold an annual all-company meeting every year, and meet up with our teams for a week once or twice per year.\n\n\n\n\nLike all positions at Automattic, you’ll work remotely, and can be based wherever you live.\n\nABOUT AUTOMATTIC\n\nWe are the people behind WordPress.com, WooCommerce, Jetpack, Simplenote, Longreads, VaultPress, Akismet, Gravatar, Crowdsignal, Cloudup, and more. We believe in making the web a better place.\n\nWe’re a distributed company with more than 1100 Automatticians in 65+ countries speaking 75+ different languages. Our common goal is to democratize publishing so that anyone with a story can tell it, regardless of income, gender, politics, language, or where they live in the world.\n\nWe believe in Open Source and the vast majority of our work is available under the GPL.\n\nDIVERSITY & INCLUSION AT AUTOMATTIC\n\nWe’re improving diversity in the tech industry. At Automattic, we want people to love their work and show respect and empathy to all. We welcome differences and strive to increase participation from traditionally underrepresented groups. Our D&I committee involves Automatticians across the company and drives grassroots change. For example, this group has helped facilitate private online spaces for affiliated Automatticians to gather and helps run a monthly D&I People Lab series for further learning. Diversity and Inclusion is a priority at Automattic, though our dedication influences far more than just Automatticians: We make our products freely available and translate our products into and offer customer support in numerous languages. We require unconscious bias training for our hiring teams and ensure our products are accessible across different bandwidths and devices. Read more about our dedication to diversity and inclusion.\n\nHOW TO APPLY\n\nDoes this sound interesting? If yes, click the Apply link below and fill out our application form. In your cover letter, let us know what you can contribute to the team. Proofread! Make sure you spell and capitalize WordPress and Automattic correctly. We are lucky to receive many applications for this position, so try to make your application stand out.\n\nApply for this Job\n\nIf you’re reading this on a site other than automattic.com please ensure you visit automattic.com/work-with-us for the latest details on applying. \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, Cloud, Travel and Marketing 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

\nABOUT US\n\nSimon Data was founded in 2015 by a team of successful serial entrepreneurs. We're a data-first marketing platform startup, and we approach our work seriously; we tackle problems in a scrappy and disruptive fashion, yet we build for scale to support our clients at big data volume.\n\nWe are the first and only enterprise customer data platform with a fully-integrated marketing cloud. Moving beyond the limitations of both categories, Simon’s platform empowers businesses to leverage enterprise-scale big data and machine learning to power customer communications in any channel. Simon’s unique approach allows brands to develop incredible personalization capabilities without needing to build and maintain massive bespoke data infrastructure.\n\nOur culture is rooted in organizational transparency, empowering individuals, and an attitude of getting things done. If you want to be a valuable contributor on a team that cultivates these core values we would love to hear from you.\n\nTHE ROLE\n\nAs a Machine Learning Engineer at Simon, you will be responsible for building and optimizing smart systems that drive revenue—our statistical models are at the core of our product, and will only become more so as we continue to develop and add features. We take an approach to ML that is data-first, and requires principled modeling decisions: we don’t believe in theory-crafting models before we have collected the data that will power them, as well as built out the business process that will continue to generate that data. In the model building process, we prioritize interpretable models whose training and performance yield insights about the underlying process, along with optimizing the selected objective. Finally, we believe that Don Knuth is more right about machine-learning models than anything else when he said premature optimization is the root of all evil. We only fix what needs fixing, but we fix it right.\n\nWHAT YOU’LL DO\n\n\n* Architect and implement the infrastructure used by Simon’s data scientists to analyze and model client data\n\n* Own the productionalization and performance of the statistical models deployed into Simon’s predictive products\n\n* Add new features to Simon’s industry-leading marketing cloud that enable adoption of predictive models\n\n* Coordinate feature launches between cross-functional parts of the business\n\n* Mentor our less senior staff and help them raise the bar technically and professionally\n\n* Collaborate with an engineering team who is passionate about quality, staying ahead of the curve, and teamwork.\n\n\n\n\nQUALIFICATIONS\n\n\n* Minimum of 3-5 years of production-level software engineering experience\n\n* Broad knowledge of machine learning models (and their performance characteristics) for classification and regression tasks\n\n* Experience in at least one statistical coding environment (numpy/pandas, R, etc.)\n\n* Fluency in SQL\n\n* Specific experience designing and building machine-learning models\n\n* Front-end development experience, especially in React/Redux applications is a plus\n\n* Expertise in causal inference, experiment design, reinforcement learning, and related fields is a plus\n\n* Excellent communication of statistical concepts to expert & non-expert audiences\n\n\n\n\nVisa sponsorship for this role is currently not available\n\nDiversity \n\nWe’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status. \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, Cloud, Senior and Marketing 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