\nAbout MoonPay 🌖💸\n\n\nHi, we’re MoonPay. We’re here to onboard the world to Web3.\n\n\nWhy? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it.\n\n\nWhat we do\nWe’re the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 20 million people around the world now trust our products — just take a look on Trustpilot.\n\n\nWe’re also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands.\n\n\nBut that’s not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It’s taken off in a big way, and we're working hard to continually improve it and to strive for perfection.\n\n\nSo whatever your background, we’re sure there’s something for you here. Come help us build the future of Web3 and digital ownership.\n\n\n🌍 Location supported \nThis role can be performed remotely from the United Kingdom, Poland, South Africa, Spain, Portugal, or Romania. If you are currently located outside these countries, relocation will be required. Visa sponsorship and relocation support are available for the UK only for this role.\n\n\nUnfortunately we do not offer business to business contracting arrangements.\n\n\n🌔 About the Opportunity \nAs an Engineering Manager, you are responsible for driving success for your engineering team(s). We expect our EMs to be technically strong, understand how to break down work, and support the growth and career development of our engineers. We are a fast-moving company, which requires balancing priorities, releasing quality features, and ensuring a high level of uptime. We expect our EMs to be strong communicators with the ability to easily work cross-functionally with our disciplines.\n\n\nTech Stack \n* Typescript as our programming language of choice \n* Node.js as our backend platform\n* React, React Native andNextJS as our frontend\n* Google Cloud Platform to host our services\n\n\n🚀 What you will do\n* Manage, support, coach and develop high performing engineers through regular 1:1 and continuous feedback.\n* Partner with our VP of Engineering and Group Product Manager to ensure we build high-performing teams that consistently and iterate and deliver high-impact and high-quality work.\n* Lead on the creation, development and implementation of  management best practice and tools e.g progression frameworks. \n* Partner with Senior Engineers to drive technical initiatives that raise the bar for our engineering practices.\n* Leading ongoing engineering work, ensuring timely delivery.\n\n\n🧑‍🚀 About You\n* You have experience managing the performance and development of high-performing Engineers, including seniors and leads, at a high growth, rapidly scaling startups.\n* You know what good looks like for a high-performing team of Engineers and know how to get there.\n* You have previously worked as an Engineer at a senior level.\n* You have an empathetic leadership style and you build strong, effective relationships.\n* You care deeply about helping others achieve their goals and become the best Engineers they can be.\n* You are a fantastic communicator and able to work cross-functionally with our engineering team and other areas of the business.\n* You thrive when developing great people and great products at scale.\n* You are data driven and know how to work cross functionally with Product and Design.\n* You have experience from successful delivery of high-quality outcomes.\n\n\n\n\n\n\nMost importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our “BLOCK Values” are at the heart of everything we do - and they are…\n\n\nB - Be Hungry\nL - Level Up\nO - Own It\nC - Crypto Curious\nK - Kaizen\n\n\nMoonPay Perks\nEquity package 📈\nUnlimited holidays 🏝\nPaid parental leave 🍼\nAnnual training budget 💻\nHome office setup allowance 🪑\nMonthly budget to spend on our products 💰\nWorking in a disruptive and fast-growing industry where the possibilities are endless 🚀\nFreedom, autonomy and responsibility 💪\n\n\nResearch has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.\n\n\nPlease let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. \n\n\nCommitment To Diversity\nAt MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.\nMoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.\n\n\nPlease be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other than @moonpay.com, please be aware that this is not us. \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Web3, Crypto, React, Cloud, Typescript, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $100,000/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

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $105,000/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\n#Location\nSeattle, Washington, United States

\nIn a world where trades are happening faster than ever to answer our needs, where sustainability is not just an option anymore, clarity and trust in the information we trade with are a must. \n\n\nSo, say hello to Kpler! We exist to facilitate sustainable and efficient trade to meet the changing needs of our world. To do so we've built a Data-as-a-Service solution that does exactly that across the lifecycle of a trade.\n\n\nOur solution aggregates data from hundreds of sources including radar and satellite imagery as well as logistics, governmental, shipping databases and more. Intelligently connecting the dots across fragmented information landscapes, we bring to our clients a unique, real-time understanding of the trades happening all over the world, by giving them access to live information about the movement of cargos, the availability of vessels as well as commodity storage.\n\n\nTo support this endeavor, we have teams in more than 9 countries and 11 key locations (Brussels, Paris, London, Athens, Vienna, Rostock, Hyères, Dubai, Singapore, Houston and New York). With individuals of various backgrounds, diverse skills, and international experiences, being global & inclusive is in our DNA!\n\n\n\n\nYour future position\n\n\nSince the release of GPT-4 and LLama2, Large-language models have gained public notoriety, and interfaces involving Generative AI proved to provide value to clients, analysts, and internal stakeholders. As an NLP/Generative AI Data Scientist at Kpler, you will be tasked with bringing the power of LLMs to Kpler clients and analysts. \n\n\nYou will be responsible for developing advanced NLP models for extracting insights from large volumes of textual data and generating actionable intelligence. You will devise creative ways of coupling textual data with the vast collection of unstructured, semi-structured, and structured data that comprise the Kpler data ecosystem.\n\n\n\nIn this team, your mission is to:\n* Design, develop, and deploy large language models to solve problems our teams face while dealing with textual data;\n* Research and stay updated on the latest advancements in Generative AI and adapt them to our projects;\n* Design pipelines to collect and curate diverse datasets and identify new sources that will drive business impact;\n* Optimise and fine-tune generative models on our textual data to propose enhanced user experience with text-generative capabilities;\n* Find efficient ways to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies;\n\n\n\nIt will be a match if you\n* You have at least 3 years of experience in DS role, deploying models into production;\n* You have proven experience in participating in end-to-end ML solutions that produced business value;\n* You have expertise in applications with a focus on Text Mining, Natural Language understanding and generation;\n* You are proficient in Python;\n* You have a track record developing ML-driven solutions;\n* You have expert knowledge of at least one cloud computing platform (preferably AWS);\n* You are fluent in English\n\n\n\nIt will be even better if you have\n* You have a MSc. in a quantitative field (computer science, mathematics, physics, engineering…); \n* You are comfortable with software engineering best practices;\n* You value code simplicity, performance and attention to detail;\n* You have experience working in an international environment.\n\n\n\n\n\nWhat you will get at Kpler:\n•We offer competitive compensation & benefits including work from home allowance, medical and life insurance, training and development allowance, paid volunteer work and more!\n• You’ll get to work in a truly global work environment, with offices in 7 countries (UK, France, Belgium, Austria, US, Dubai and Singapore), we come from more than 50 countries and speak more than 20 languages\n•We have truly embraced the new age of workplace flexibility where you can chose to work fully remote, hybrid or onsite\n•You will get a company laptop and you can choose between Windows, Mac, or Linux\n•Global maternity (extended leave), parental, festival and compassionate leave policies aligned to the contemporary needs of the family, and individual choices\n\n\n\n\nAnd you REALLY want to join our Engineering team because…\n\n\n• Interesting product & challenging technical problems to solve: our market is very specialized and quite complex! This means we build real algorithyms and there’s some serious software engineering at work here! \n• Our growth is exponential: we build new features and products everyday! We frequently tackle brand-new business areas which means there’s always everything to build and always an interesting problem to sink your teeth into!\n• We are at the cross-road of Software Engineering, Commodity, Energy and Finance. This creates an interesting cultural mix: We value the flexibility, collaboration and employee-centric approach that the Tech culture brings but we also value the pragmatism, hard-working and intellectual excellence expectation that often runs in the Finance and Energy worlds.\n• Team of 85+ talented Engineers working with the most modern tech stack\n\n\nRecruitment Process:\nRecruiter Screen: 30 minute video interview with a recruiter from hiring team\nHiring Manager Interview: 45 minute video interview with the hiring manager, technical deep dive\nTechnical Exercise : Task completed at home, 30 minute debrief with Senior Engineers to discuss \nMeet the Team: 30 minute video interview, an opportunity to see the fit and get to know your potential future team!\n\n\n\n\nOur People Pledge\n\n\nDon’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.\n\n\nKpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.\n\n\n\n\n\n\nBy applying, I confirm that I have read and accept the Staff Privacy Notice \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Video, Finance, Cloud and Senior jobs that are similar:\n\n $40,000 — $70,000/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\n#Location\nLondon (Remote)