Remote Amazon + Cloud + Engineer + Machine Learning + Python Jobs

**OUR STORY**\n\nWe’re on a mission to build solutions for the next generation of commerce. Ultimately we enable developers and platforms to make commerce seamless by connecting them to millions of merchants and billions of products with a single API.\n\nCarted will power commerce experiences anywhere on the internet, allowing developers and content creators to build a direct checkout of any product from any merchant via any content on the web.\n\n**We are looking for Machine Learning Engineers to join our team and come help us solve data-driven problems at Petabyte scale.**\n\n**REQUIREMENTS**\n* Python, TensorFlow/PyTorch.\n* NLP (problems include entity extraction, intent classification, sentence classification).\n* Is well-aware of the current state of research in the domain (representation learning) and comfortable with implementing new ideas when needed.\n* ML Solution engineering experience with any of the following cloud service providers: Google Cloud * Platform, Microsoft Azure, Amazon Web Services.\n* Vector similarity search at scale with open-source tools like ScaNN, Faiss, Annoy, etc.\n* Computer vision (problems include fine-grained image classification, localization, etc.)\n\n**BONUS POINTS**\n* Experience with handling e-commerce data.\n* Docker and k8s.\n* Exposing ML models as gRPC/RESTful APIs or with fully managed serverless systems.\n* Has trained deep neural networks using distributed training for large datasets using TPUs.\n* Deployed ML model / NLP models / computer vision models that are currently in production.\n\n**WHY COME AND JOIN OUR TEAM**\n\nWe are a well-funded, fast growing startup with people around the globe. You will have autonomy and ownership of the work you do, with flexible hours\n\nWe offer a competitive base salary plus equity, so you are rewarded for your best work. On top of this we offer generous paid holidays. Holiday is called holiday at Carted and never ‘annual leave’ as we are big believers that holiday is your time and we want you to enjoy it! We also provide you with top-end equipment to make your space enjoyable.\n\nWe have a training and development allowance to invest in your personal and professional development.\n\nWe like to learn quickly, do things differently and most importantly, have fun! \n \n\nPlease mention the word **PEPPED** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xODA=). 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 $100,000 — $200,000/year\n \n\n#Location\nWorldwide

\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

\n Thrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey.  As a technical lead on Thrive’s Data Science and Analytics team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering lead who has significant experience with data at all levels of maturity:  raw telemetry through deployment and maintenance of models in operations \n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* An innovator looking to push the boundaries of automation, intelligent ETL, AIOps and MlOps to drive high-quality insights and operational efficiency within the team\n\n* Has a proven track record of building and shipping data-centric software products\n\n* Desires a position that is approximately 75% individual technical contributions and 25% mentoring junior engineers or serving as a trusted advisor to engineering leadership\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Collaborate with the Head of Data Science and Analytics to design an architecture and infrastructure to support data engineering and machine learning at Thrive\n\n* Implement a production-grade data science platform which includes building data pipeline, automation of data quality assessments, and automatic deployment of models into production\n\n* Develop new technology solutions to ensure a seamless transition of machine learning algorithms to production software, to enable the building out of easy to use datasets and to reduce other friction points within the data science life-cycle\n\n* Assist with building a small but skilled interdisciplinary team of data professionals: scientists, analysts, and engineers\n\n* Consider user privacy and security at all times\n\n\n\n\nRequired Skills\n\n\n* Master’s or Ph.D. degree in Computer Science or a related discipline (e.g., Mathematics, Physics)\n\n* 3+ years of technical leadership, team size of 5 or more, in data engineering or machine learning projects\n\n* 8+ years of industry experience with data engineering and machine learning\n\n* Extensive programming experience in Java or Python with applications in data engineering and machine learning.\n\n* Experience with data modeling, large-scale batch, and real-time data processing, ETL design, implementation and maintenance\n\n* Excellent verbal and written communication skills\n\n* Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real-world problems\n\n\n\n\nRelevant Technology and Tools Experience\nA good cross-section of experience in the following areas is desired:\n\n\n* AI/ML platforms:  TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, AWS SageMaker, etc.\n\n* Relational databases: MySQL, Postgres, RedShift, etc.\n\n* Big data technologies:  Spark, HDFS, Hive, Yarn, etc.\n\n* Data ingestion tools: Kafka, NiFi, Storm, Amazon Kinesis, etc.\n\n* Deployment technologies:  Docker, Kubernetes, or OpenStack\n\n* Public Cloud:  Azure, AWS or Google Cloud Platform\n\n\n\n\nOur Mission\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \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, Teaching, Amazon, Java, Cloud, Python, Junior and Apache 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