About the role
structured by ORIAI Research EngineerLondonApply for this roleAbout RevionRevion is building the AI-native operating system for the $4 trillion automotive industry. We combine real-time intelligence, specialized AI workers, and orchestrating systems to help automotive organizations run complex, mission-critical operations with true…
What you will do
- Design, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment
- Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility
- Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production
- Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability
- Ensure data quality, observability, and performance across all AI systems
What they are looking for
- Strong experience in machine learning, deep learning, and NLP
- Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments
- Proficiency in Python and familiarity with Go
- Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases)
- Ability to design ML systems for robustness, scalability, and automation
- Strong coding, debugging, and data engineering skills
- Passion for AI infrastructure and its real-world impact
- Founder mindset: ownership, independence, and willingness to go deep
Before you apply
- Send your CV along with required/optional answers to careers@revion.inc
Benefits
- Ground Floor Opportunity — Join early and shape the company, product, and culture from day one
- Ownership & Autonomy — Take full ownership of projects and ship fast
- Top-Tier Compensation — Competitive salary + equity in a high-growth startup
- Work With the Best — Join a world-class team of engineers and builders
Full posting text
AI Research EngineerLondonApply for this roleAbout RevionRevion is building the AI-native operating system for the $4 trillion automotive industry. We combine real-time intelligence, specialized AI workers, and orchestrating systems to help automotive organizations run complex, mission-critical operations with true autonomy.About the RoleYou'll be building AI models that make human-like conversations possible.
You'll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You'll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you'll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.Tech ProfileDesign, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deploymentDevelop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibilityImplement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in productionCollaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalabilityEnsure data quality, observability, and performance across all AI systemsStay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curveMust HaveStrong experience in machine learning, deep learning, and NLPSolid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environmentsProficiency in Python and familiarity with GoExperience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases)Ability to design ML systems for robustness, scalability, and automationStrong coding, debugging, and data engineering skillsPassion for AI infrastructure and its real-world impactFounder mindset: ownership, independence, and willingness to go deepWhy Join UsGround Floor Opportunity — Join early and shape the company, product, and culture from day oneRapidly growing and backed by top investors like Y CombinatorOwnership & Autonomy — Take full ownership of projects and ship fastTop-Tier Compensation — Competitive salary + equity in a high-growth startupWork With the Best — Join a world-class team of engineers and buildersApply nowSend your CV along with answers to the following questions to careers@revion.incWhat is the most impressive thing you have built?
(brief paragraph)(Optional) Describe a time you “hacked” a non-computer system or found a creative workaround to solve a problem.Send applicationRole DetailsLocationLondonOpen PositionsOther rolesStaff Backend EngineerNew YorkForward Deployed EngineerNew York