Censius is an AI Observability Platform that assists enterprises in continuously monitoring, analyzing, and explaining their production models. Our platform completes the AI stack, allowing businesses to get the most out of their AI models long after they&#39;ve been deployed.

We&#39;re building the future of MLOps with our AI Observability Platform, allowing businesses of all sizes to build intelligence confidently. We&#39;ve combined monitoring, accountability, and explainability into one AI Observability Platform.

We are actively hiring for multiple roles. Check them out here: https://censius.ai/careers

<h2>About the job</h2>What is Censius?Censius is an AI Observability Platform that enables enterprises of all sizes to confidently deploy their machine learning models into production. The company's flagship AI observability platform helps data science initiatives become more accountable and explainable. This all-in-one ML monitoring system allows you to proactively monitor end-to-end ML pipelines for drift, skew, data integrity, and data quality concerns. Responsibilities <ul><li>Contacting potential clients to establish rapport and arrange meetings.</li><li>Planning and overseeing new marketing initiatives.</li><li>Researching organizations and individuals to find new opportunities.</li><li>Increasing the value of current customers while attracting new ones.</li><li>Finding and developing new markets and improving sales.</li><li>Attending conferences, meetings, and industry events.</li><li>Developing quotes and proposals for clients.</li><li>Setting goals for the development team and business growth and meeting them.</li></ul> Qualifications <ul><li>Must have 2+ years of experience in any capacity working in Data/AI/ML companies</li><li>1+ years experience in&nbsp;enterprise&nbsp;software&nbsp;sales, marketing, or related field.</li><li>Strong communication skills and tech fluency.</li><li>Ability to flourish with minimal guidance, be proactive, and handle uncertainty.</li><li>Understands technology and has a fascination for AI/ML product/services</li></ul> Benefits <ul><li>Competitive Salary 💸</li><li>Work Remotely 🌎</li><li>Health insurance 🏥</li><li>Unlimited Time Off ⏰</li><li>Support for continual learning (free books and online courses) 📚</li><li>Reimbursement for streaming services (think Netflix) 🎥</li><li>Reimbursement for the gym or physical activity of your choice 🏋🏽‍♀️</li><li>Flex hours&nbsp;💪</li><li>Leveling Up Opportunities 🌱</li></ul>

The companyOur GoalWe are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world.&nbsp;(TLDR — build the best ML monitoring tool)Find more about us at https://censius.ai Responsibilities <ul><li>Manage founder’s email and LinkedIn as well as reach out to set up meetings.</li><li>Manage an active calendar, coordinate internal and external meetings, prepare agendas, take notes, and track follow-up action items.</li><li>Stay on top of the founder’s to-do list and make sure important moves are made.</li><li>Arrange detailed domestic and international travel plans and itineraries.</li><li>You will also coordinate agendas and compile documents for travel-related meetings, and be proactive in understanding if there are any pre/post-travel and pre/post-meeting requirements that need to be done.</li><li>Help with planning &amp; executing various tasks for fundraising</li><li>Provide ad-hoc operational support for the CEO's initiatives. This would involve researching, compiling information, and coordinating with stakeholders involved for execution.</li></ul> QualificationsRequired <ul><li>Experience being an executive assistant in a startup environment</li><li>Tech savvy and can proficiently use G-Suite, Notion, and Airtable</li><li>Available during CST-timezone (and occasionally in IST time zone)</li></ul>Nice to have <ul><li>Understanding of the data/AI world (we will bring you up to speed if not).</li></ul> You will excel in this role if <ul><li>You have strong verbal and written skills</li><li>You take ownership, collaborate, and follow through to the very end.</li><li>You are extremely detail-oriented and love researching, analyzing, and organizing information.</li><li>You are flexible and can mold to the evolving responsibilities!</li><li>Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.</li></ul> Why you should join Censius <ul><li>We just reached 20 employees so you will still come in at a relatively early stage of the company and have ample opportunity to learn and grow with a startup. If you have ever wondered what it feels like to be inside a high-tech startup and understand all the parts of it — this is it. We will work with you to help you grow either as an EA or shape up in whichever role you want to achieve on future.</li></ul>

About UsCensius is a US-based product company that is enabling AI at scale for enterprises. We are unlocking MLOps scalability by building the world's fastest way to deploy models and are amongst the earliest companies to tackle Model Performance Management. At Censius, you will get to solve difficult problems in a very nascent, but rapidly growing, area. About the roleIn this role, you will design and implement a generic ML platform that helps monitor models across modalities in production. You will collaborate with the research and development teams to build robust ML and big data monitoring platforms. ResponsibilitiesWork on large-scale machine learning challenges that impact millions of people around the globeResearch and implement cutting-edge algorithms and implement pipelines that work with massive data sets in real-timeImplementing fast, scalable solutions with optimal performance day in and outMachine-learning being the core of our business, this role will be responsible for all phases of the product development lifecycleEvaluate and validate the analyses with statistical methods and explain to people unfamiliar with the domain of data scienceWriting specifications for algorithms, reports on data analysis, documentation of algorithms, and collaborating with product teams' skills and attributes for success will want you to haveStrong programming skills in Python.Working experience with a variety of ML techniques (decision trees, clustering, boosting, bagging, neural networks, etc. )Working experience with advanced statistical concepts (outliers, distance, regression, distributions, statistical tests, etc. )Hands-on experience with one or more machine learning frameworks - PyTorch, Keras, Tensorflow, XGBoost, and libraries - Pandas, NumPY, Scikit-learnFamiliarity with ML platforms like MLflow, Weights&amp; Biases, Kubeflow, and AWS SageMaker. It'd be nice if you have* Passion for developing data products from scratch and a high level of proactivenessKnowledge of Reinforcement learning and Optimisation problems on a large scale is a big plusSome experience in project management and mentoring is also a plus.Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems (Hadoop, Amazon EC2) is a big plus. You will excel in this role if You are scrappy, take ownership, and follow through to the very endYou enjoy wearing multiple hatsA sincere desire to learn and grow - we're quite small, so the desire to learn and grow as the company grows is essential! Benefits<ul><li>Competitive Salary</li><li>Work Remotely</li><li>Health insurance</li><li>Unlimited Time Off</li><li>Support for continual learning (free books and online courses)</li><li>Reimbursement for streaming services (think Netflix)</li><li>Reimbursement for gym or physical activity of your choice</li><li>Flex hours</li><li>Leveling Up Opportunities</li></ul>

About the jobOur goalWe are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool) The cultureWe believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in. The role:Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area. Responsibilities<ul><li>Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.</li><li>Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.</li><li>Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.</li><li>Continually evaluate and improve DevOps processes for a cloud-native codebase.</li><li>Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.</li><li>Leverage your industry experience to champion engineering best practices within the organization.</li></ul> QualificationsWork Experience<ul><li>3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.</li><li>Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.</li><li>Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.</li><li>3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)</li><li>Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.</li><li>(Bonus: worked with big data in data lakes/warehouses).</li><li>(Bonus: built an end-to-end ML pipeline)</li></ul>Skills<ul><li>Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.</li><li>Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)</li><li>Strong independent contributor as well as a team player.</li><li>Working knowledge of ML and familiarity with concepts of MLOps</li></ul>Benefits<ul><li>Competitive Salary</li><li>Work Remotely</li><li>Health insurance</li><li>Unlimited Time Off</li><li>Support for continual learning (free books and online courses)</li><li>Reimbursement for streaming services (think Netflix)</li><li>Reimbursement for gym or physical activity of your choice</li><li>Flex hours</li><li>Leveling Up Opportunities</li></ul> You will excel in this role if<ul><li>You have a product mindset. You understand, care about, and can relate to our customers.</li><li>You take ownership, collaborate, and follow through to the very end.</li><li>You love solving difficult problems, stand your ground, and get what you want from engineers.</li><li>Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.</li><li> </li></ul>

<h2>About the job</h2>Our goalWe are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world.&nbsp;(TLDR — build the best ML monitoring tool) The cultureWe believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in. The role:Our engineering team is growing and we are looking to bring on board a&nbsp;senior software engineer&nbsp;who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area. Responsibilities <ul><li>Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.</li><li>Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.</li><li>Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.</li><li>Continually evaluate and improve DevOps processes for a cloud-native codebase.</li><li>Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.</li><li>Leverage your industry experience to champion engineering best practices within the organization.</li></ul> QualificationsWork Experience <ul><li>5+ years of industry experience (3+ years in a&nbsp;senior engineering role)&nbsp;preferably with some exposure in leading remote development teams in the past.</li><li>Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.</li><li>Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.</li><li>2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)</li><li>Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.</li><li>(Bonus: worked with big data in data lakes/warehouses).</li><li>(Bonus: built an end-to-end ML pipeline)</li></ul>Skills <ul><li>Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.</li><li>Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)</li><li>Strong independent contributor as well as a team player.</li><li>Working knowledge of ML and familiarity with concepts of MLOps</li></ul>Benefits <ul><li>Competitive Salary 💸</li><li>Work Remotely 🌎</li><li>Health insurance 🏥</li><li>Unlimited Time Off ⏰</li><li>Support for continual learning (free books and online courses) 📚</li><li>Reimbursement for streaming services (think Netflix) 🎥</li><li>Reimbursement for gym or physical activity of your choice 🏋🏽‍♀️</li><li>Flex hours&nbsp;💪</li><li>Leveling Up Opportunities 🌱</li></ul> You will excel in this role if <ul><li>You have a product mindset. You understand, care about, and can relate to our customers.</li><li>You take ownership, collaborate, and follow through to the very end.</li><li>You love solving difficult problems, stand your ground, and get what you want from engineers.</li><li>Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.</li></ul>

Censius

Business Development Manager

Executive Assistant to the Founder

Senior Data Scientist

Back End Developer

Senior Software Engineer