SummarycausaLens are the pioneers of Causal AI — a giant leap in machine intelligence.We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our Causal AI Platform empowers all types of users to make superior decisions through intuitive user interfaces and apis that adapt to their level of technical expertise. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.We are looking for motivated and high-achieving Fullstack Software Engineers, based in London, to join our core platform team, enabling our Engineering and Data Science teams and customer teams to develop and deliver services and applications across multiple cloud technologies. We are a mission-driven, interdisciplinary team with an inclusive culture building technology that improves our world. This is a full-time placement with significant opportunities for growth in a rapidly expanding team.Roles and ResponsibilitiesAs a Full Stack Engineer, you will be involved with the delivery of features into our flagship platform. You will own the implementation of features from start to finish, all the way to being deployed to our customers. You should have strong technical and communication skills and should want to take ownership of what you are building. You will be expected to push forwards your own ideas and contribute to design and architecture discussions.What You’ll Be Working OnYou will be expected to work across our application stack and be willing to learn any areas which you do not already have experience with. Our primary languages are Python for backend and machine learning code on Django and FastAPI based apps, with Typescript + React for our frontends.Our platform is cloud agnostic and you’ll be heavily interfacing with cloud infrastructure using Docker and the Kubernetes eco-system. Outside of this, some of the other technologies we work with include: Postgres, TimescaleDB, Redis, Ansible, Django, Pydantic and Apache Arrow.

causaLens

Full Stack Engineer - Platform

SummarycausaLens are the pioneers of Causal AI — a giant leap in machine intelligence.We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our Causal AI Platform empowers all types of users to make superior decisions through intuitive user interfaces and apis that adapt to their level of technical expertise. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.We are looking for motivated and high-achieving Fullstack Software Engineers, based in London, to join our DecisionOS Product team. In this team you will be building frameworks and applications that allow data scientists and business users to build and extract real business value from causal models.This is a full-time placement with significant opportunities for growth in a rapidly expanding team.Roles and ResponsibilitiesAs a Full Stack Engineer, you will be involved with the delivery of features into our product and application framework. You will own the implementation of features from start to finish, all the way to being deployed to our customers. You should have strong technical and communication skills and experience with using SDKs, experience creating SDK’s would be a plus. You will be expected to push forwards your own ideas and contribute to design and architecture discussions.What You’ll Be Working OnYou will be working building AI focused features in our application framework, which will allow data scientists to build amazing applications leveraging their causal models. You will be expected to work across our application stack and be willing to learn any areas which you do not already have experience with. Our primary languages are Python for the backend of the framework and Typescript + React for the web facing front-end. The decisionOS SDK is a tool used by developers and data scientists, so you’d be expected to have familiarity with development practices, package management, running debugging both locally and remotely as well as building images with Docker.

Full Stack Engineer - Decision OS

causaLens are the pioneers of Causal AI — a giant leap in machine intelligence.We build Causal AI-powered products that are trusted by leading organisations across a wide range of industries. Our Causal AI Platform empowers all types of users to make superior decisions through intuitive user interfaces and APIs that adapt to their level of technical expertise. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.We are looking for motivated and high-achieving Senior Fullstack Software Engineers focusing on bringing causality, explainability and accountability to MLOps as a first on-the-ground engineering member of our CausalOps team, joining product and data scientists. We are a mission-driven, interdisciplinary team with an inclusive culture building technology that improves our world. This is a full-time placement with significant opportunities for growth in a rapidly expanding team.Roles and ResponsibilitiesAs a Senior Full Stack Engineer, you will be involved with the product at all stages of development, from initial conception of a feature all the way to being deployed to our customers. You should have strong technical and communication skills and should want to take ownership of what you are building. You will be expected to push forwards your own ideas as well as be comfortable mentoring and coaching junior members of the team.What You’ll Be Working OnYou will be expected to work across our application stack and be willing to learn any areas which you do not already have experience with. Our primary languages are Python for backend and machine learning code on FastAPI based apps, with Typescript + React for our frontends.Your primary focus will be streamlining the operationalisation of causal machine learning models, the workflows for delivering models, as well as the dashboards and system processes to view and understand how models are performing. Accelerating the workflow of data scientists and ML Engineers. Removing obstacles in their way to delivering real value to their customers. You will be helping us advance the state of the art of MLOps by bringing the strengths of causal AI to bear to build leading indicators of model sensitivity, visibility on model recourse and A/B testing. Our infrastructure runs on Kubernetes, familiarity with cloud services, docker and modern CNCF stacks is desirable.

Senior Full Stack Engineer - MLOps

SummarycausaLens are the pioneers of Causal AI — a giant leap in machine intelligence.We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.We are looking for a motivated and high-achieving Senior Frontend Engineer based in London to join our Product team in building a platform to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development.We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.Roles and ResponsibilitiesWe are looking for exceptional and ambitious individuals to develop our Causal AI platform for time series. As a Senior Frontend Engineer you will be involved with the product at all stages of development, from initial conception of a new idea all the way to seeing it deployed to our customers. You should have strong technical and communication skills and enjoy mentoring junior members of staff. You should want to take ownership of what you are building and be willing to push your own ideas forwards for development.You will be expected to refine and implement our development standards &amp; best practices. Experience with collaboration tools and general programming tools is desirable. On the frontend, we use React (with hooks), Typescript and styled components to build the majority of the application. We’re always open to trying new things if there is a good reason though. The rest of the application stack includes Python, Numpy, Torch, Django, Postgres, Redis, Ansible, AWS, GCP and other technologies.Job requirements<ul><li>This role is open for candidates with at least 4+ years experience</li><li>Proficient in JavaScript/TypeScript, HMTL/CSS, Node.js, JS Build tooling</li><li>Experience with React or similar frameworks (VueJS, AngularJS)</li><li>Experience in developing front-end solutions on top of high-performance and distributed backend systems.</li><li>Experience in leading the technical architecture of a frontend project</li><li>Experience mentoring junior developers.</li><li>Smart, capable and can write clean code effectively</li><li>Understanding of the full stack is preferable (REST backends and SPA frontends)</li><li>Strong Knowledge of the software development lifecycle (version control, tooling, testing, etc.)</li><li>Ideally you should be able to work in London or be able to commute. Candidates outside of London who are interested in relocating will be considered.</li></ul>Useful Extras:<ul><li>Interest in UI/UX, creating a consistent design and responsive user experiences across multiple devices.</li><li>Interest in scientific data visualization is a plus and any experience with visualisation libs, such as d3, would be very valuable.</li><li>Interest in machine learning/big data (prior experience is a plus)</li></ul>The CompanyCurrent machine learning approaches have severe limitations when applied to real world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others.causaLens in the News<ul><li>causaLens raises $45m Series A to scale Causal AI - Tech Crunch</li><li>Best Deeptech Company 2019 - Artificial Intelligence Awards</li><li>‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance</li><li>‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes</li><li>‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times</li><li>‘Machine Learning Companies to watch in Europe’ - Forbes</li><li>'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire</li><li>‘Best Investment in Deeptech’ award - UK Business Angels Association Awards</li><li>‘100 Most Disruptive UK Companies’ - Hotwire</li></ul>BenefitsWe may be biased but we believe you’ll be in good company. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! This truly is an exciting opportunity to join a fast-growing and agile team, passionate about innovation and making a difference.We care about our people’s lives both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday and a good work-life balance, we offer the following:<ul><li>Share Option Scheme</li><li>Generous education and self-development budget</li><li>Hybrid working - a combination of remote and from the office as required, along with all the tech you need to get the job done (MacBook Pro etc.)</li><li>Work abroad 2 weeks per annum</li><li>Cycle to work scheme</li><li>Regular team socials inc. ‘Achievements &amp; Global Cuisine Thursdays’ and annual company retreat</li><li>Office snacks and drinks to stay refreshed</li></ul>LogisticsOur interview process consists of a few screening interviews and a "Day 0" which is spent with the team (either in the office or virtually, whatever you feel comfortable with). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions.

Frontend Engineer

causaLens is the pioneer of Causal AI — a giant leap in machine intelligence.We are on a mission to build truly intelligent machines - it’s hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, causaLens is the right place for you. Everything we do is at the forefront of technological advancements and we are always on the lookout for people to join us whose skills and passion tower above the rest.Since the company was established in 2017, causaLens has:🥳Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here🦄Raised $45 million in Series A funding🏆Named a leading provider of Causal AI solutions by Gartner - here🚀Included in Otta’s 2022 Rocket List as one of the fastest-growing companies to launch your careerOur MissionTo radically advance human decision-making.Our VisionA world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.Head to our website homepage and watch the ‘Why Causal AI’ video to learn more.The roleWe are looking for an Infrastructure based in London to join us in building our Causal AI technology to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development and growth.What you’ll doAs an Engineer first, focusing on Infrastructure you’ll be pivotal to implementing and maintaining our core infrastructure as code and ensuring the availability, performance, and security of new and existing infrastructure. You’d have the opportunity to work on multiple cloud architectures and have a real impact on the foundations of our products.A successful candidate will be the one that helps the team work smart, fast and clean, eliminating toil, automating where sensible, and making good tech choices.What you will be working onThe Core Infrastructure team is made up of Engineers who are heavily collaborative, focusing on supporting the business needs of stakeholders throughout our company and our customers. Working closely with, enabling and empowering our platform engineering, Machine Learning and Applied Data Science teams. This role is an opportunity either for engineers that have found themselves keenly interested in CNCF and being able to solve infrastructure problems as software engineers, or for DevOps that want to evolve their career into SRE and multi-cloud deployments.Some of your responsibilities will include:<ul><li>Automating cloud agnostic infrastructure, reducing toil</li><li>Enhancing observability and visibility of our infrastructure, systems and processes</li><li>Enhancing the change pipeline, improving change velocity</li><li>Empowering teams to self-fulfil, shifting responsibility left</li></ul>You’ll be using Kubernetes, Docker and Terraform and working on AWS, GCP and Azure clusters.Job requirements<ul><li>Candidates would ideally have 2 years professional experience</li><li>Knowledge and familiarity with Kubernetes</li><li>Strong experience with Terraform and Ansible.</li><li>Production Development experience in at least one scripting language - preferably Python</li><li>Proven experience with CI/CD and DevOps practices</li><li>Experience with cloud services and Docker</li><li>Familiarity with cloud native ecosystem</li></ul>Nice To Haves<ul><li>Knowledge and interest in InfoSec and DevSecOps</li><li>Understanding of the full stack is preferable (REST backends and SPA frontends)</li><li>Strong Knowledge of the software development lifecycle (code review, version control, tooling, testing, etc.)</li><li>Interest in Machine Learning and MLOps</li><li>Interest in data pipelines and processing, working with big data (&gt;100GB)</li></ul>About causaLensCurrent machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others.We may be biased but we believe you’ll be in good company. We offer a hybrid working set up and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs!causaLens in the news<ul><li>causaLens raises $45m Series A to scale Causal AI - Tech Crunch</li><li>Best Deeptech Company 2019 - Artificial Intelligence Awards</li><li>‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance</li><li>‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes</li><li>‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times</li><li>‘Machine Learning Companies to watch in Europe’ - Forbes</li><li>'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire</li><li>‘Best Investment in Deeptech’ award - UK Business Angels Association Awards</li><li>‘100 Most Disruptive UK Companies’ - Hotwire</li></ul>What we offerWe care about our people’s lives both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday and a good work-life balance, we offer the following:<ul><li>Share Option Scheme</li><li>Hybrid working - a combination of remote and from the office as required, along with all the tech you need to get the job done (MacBook Pro etc.)</li><li>Work abroad 2 weeks per annum</li><li>Cycle to work scheme</li><li>Access to mental health support through Spill</li><li>Regular team socials</li><li>Office snacks and drinks to stay refreshed</li></ul>

Infrastructure Engineer

causaLens are the pioneers of Causal AI — a giant leap in machine intelligence.We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.Summary We are looking for an Infrastructure based in London to join our Core Infrastructure team in building a platform to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development and growth.Roles and ResponsibilitiesAs an Engineer first, focusing on Infrastructure you’ll be pivotal to implementing and maintaining our core infrastructure as code and ensuring the availability, performance, and security of new and existing infrastructure. You’d have the opportunity to work on multiple cloud architectures and have a real impact on the foundations of our products.A successful candidate will be the one that helps the team work smart, fast and clean, eliminating toil, automating where sensible, and making good tech choices.What you will be working onThe Core Infrastructure team is made up of Engineers who are heavily collaborative, focusing on supporting the business needs of stakeholders throughout our company and our customers. Working closely with, enabling and empowering our platform engineering, Machine Learning and Applied Data Science teams. This role is an opportunity either for engineers that have found themselves keenly interested in CNCF and being able to solve infrastructure problems as software engineers, or for DevOps that want to evolve their career into SRE and multi-cloud deployments.Some of your responsibilities will include:<ul><li>Automating cloud agnostic infrastructure, reducing toil</li><li>Enhancing observability and visibility of our infrastructure, systems and processes </li><li>Enhancing the change pipeline, improving change velocity</li><li>Empowering teams to self-fulfil, shifting responsibility left</li></ul>You’ll be using Kubernetes, Docker and Terraform and working on AWS, GCP and Azure clusters.

causaLens are the pioneers of Causal AI — a giant leap in machine intelligence.We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.Summary We are looking for a Senior Engineer in DevOps based in London to join our Core Infrastructure team in building a platform to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development and growth.Roles and ResponsibilitiesAs an Engineer first focusing on DevOps and automation, you’ll be responsible for implementing key parts of core infrastructure as code and ensuring the availability, performance, and security of new and existing infrastructure. You'd report into the VP of Engineering, and define our approach to complex problems in getting our solutions in front of our customers, how our engineering function delivers value, and how we run our infrastructure. A successful candidate will be the one that helps the team work smart, fast and clean, eliminating toil, automating where sensible, and making good tech choices. What You’ll Be Working OnThe Core Infrastructure team is made up of Engineers who are heavily collaborative, focusing on supporting the business needs of stakeholders throughout our company and our customers. Working closely with, enabling and empowering our platform engineering, Machine Learning and Applied Data Science teams. This role is an opportunity either for engineers that have found themselves keenly interested in CNCF and being able to solve infrastructure problems as software engineers, or for DevOps that want to evolve their career into SRE and multi-cloud deployments. Some of your responsibilities will include:<ul><li>Automating cloud agnostic infrastructure, reducing toil</li><li>Enhancing observability and visibility of our infrastructure, systems and processes</li><li>Enhancing the change pipeline, improving change velocity</li><li>Empowering teams to self-fulfil, shifting responsibility left</li></ul>You’ll be using Kubernetes, Docker and Terraform and working on AWS, GCP and Azure clusters.

Senior DevOps Engineer

SummarycausaLens are the pioneers of Causal AI — a giant leap in machine intelligence.We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our Causal AI Platform empowers all types of users to make superior decisions through intuitive user interfaces and apis that adapt to their level of technical expertise. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.We are a mission-driven, interdisciplinary team with an inclusive culture building technology that improves our world. This is a full-time placement with significant opportunities for growth in a rapidly expanding team. Based in London, you would join our Engineering team and lead our efforts to redefine how applications can be built to drive decision making.We are looking for a Lead Software Engineer that’s eager to take ownership and and Lead our decisionOS Application Framework team to build a framework that empowers Data Scientists to build amazing applications. Roles and ResponsibilitiesAs a Lead Software Engineer, you will have key ownership of the delivery of the decisionOS platform and SDK at all stages of development, from initial conception of a component or feature, to the debugging and all the way to the build process. You should have strong familiarity with SDK’s, excellent architectural, technical and communication skills and should want to take ownership of what you are building, caring about the development experience of the data scientists, but also the end-user and their product experience. This role will include line management, but will still be very hands-on, so you’d need to be comfortable to architect &amp; write code as well as running a team and developing people.What You’ll Be Working OnYou will be expected to work across our application stack and be willing to learn any areas which you do not already have experience with. Our primary languages are Python for the backend of the framework and Typescript + React for the web facing front-end.The decisionOS SDK is a tool used by developers and data scientists, so you’d be expected to have familiarity with development practices, package management, running debugging both locally and remotely as well as building images with Docker.

Lead Software Engineer - Application Framework

causaLens are the pioneers of Causal AI — a giant leap in machine intelligence.We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.We are looking for a motivated and high-achieving Software Engineer based in London to join our Product team in building a platform to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development.We offer an intellectually stimulating environment, work within an interdisciplinary team, and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.Roles and ResponsibilitiesWe are looking for exceptional and ambitious individuals to develop our Causal AI platform. You will work as a software engineer, specialising in Machine Learning, in the Product team which is composed of software engineers and scientists. A successful candidate will also be able to showcase broader understanding of machine learning.Your focus will be on software architecture and productization of data pipelines, feature engineering, machine learning, and causal algorithms for time series using Python, Cython, Numpy, Torch, etc.The broader application stack includes Python, Cython, Numpy, Torch, Django, Celery, Postgres, Redis, Ansible, AWS, GCP, React and other technologies.This role is for an experienced mid-senior level software engineer.Job requirements<ul><li>This role is open for candidates with at least 2+ years of professional experience</li></ul><ul><li>Advanced quantitative skills in machine learning/statistics/mathematics or similar fields</li></ul><ul><li>Development experience in multiple scripting languages - with expert knowledge of Python</li><li>Proven experience in productazing and deploying machine learning systems and data pipelines</li></ul><ul><li>An in-depth understanding of computer architecture, e.g. C, C++, Cython</li><li>Strong knowledge of the software development life cycle (version control, tooling, testing, etc.)</li><li>Good academic record (Bachelor’s, Master’s, or above, in computer science or related area)</li><li>Highly capable, self-motivated, collaborative, and personable</li><li>Ability to demonstrate integrity and drive</li><li>Naturally curious, creative, and effective problem solver with the ability to come up with ideas to tackle problems on the cutting edge</li><li>An excellent written and verbal communicator with a high level of business acumen</li><li>Ability to effectively work independently in a fast-moving environment</li><li>Ideally, you should be able to work in London or be able to commute. Candidates outside of London who are interested in relocating will be considered.</li></ul>Nice to haves<ul><li>Understanding of the full stack is preferable (REST backends, etc.)</li><li>Interest in data pipelines and processing large (&gt;100GB) datasets</li><li>Knowledge of Jenkins/GitHub Actions for continuous integration and End-to-End automation for application build and deployments</li></ul>The CompanyCurrent machine learning approaches have severe limitations when applied to real world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others.causaLens in the News<ul><li>causaLens raises $45m Series A to scale Causal AI - Tech Crunch</li><li>Best Deeptech Company 2019 - Artificial Intelligence Awards</li><li>‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance</li><li>‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes</li><li>‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times</li><li>‘Machine Learning Companies to watch in Europe’ - Forbes</li><li>'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire</li><li>‘Best Investment in Deeptech’ award - UK Business Angels Association Awards</li><li>‘100 Most Disruptive UK Companies’ - Hotwire</li></ul>BenefitsWe may be biased but we believe you’ll be in good company. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! This truly is an exciting opportunity to join a fast-growing and agile team, passionate about innovation and making a difference.We care about our people’s lives both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday and a good work-life balance, we offer the following:<ul><li>Share Option Scheme</li><li>Generous education and self-development budget</li><li>Hybrid working - a combination of remote and from the office as required, along with all the tech you need to get the job done (MacBook Pro etc.)</li><li>Work abroad 2 weeks per annum</li><li>Cycle to work scheme</li><li>Regular team socials inc. ‘Achievements &amp; Global Cuisine Thursdays’ and annual company retreat</li><li>Office snacks and drinks to stay refreshed</li></ul>LogisticsOur interview process consists of a few screening interviews and a "Day 0" which is spent with the team (either in the office or virtually, whatever you feel comfortable with). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions.

causaLens

causaLens jobs for JavaScript developers

causaLens

Full Stack Engineer - Platform

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causaLens

Full Stack Engineer - Decision OS

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Senior Full Stack Engineer - MLOps

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Frontend Engineer

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