Intuition Machines is hiring a Senior MLOps Engineer to shape and expand data and ML pipelines used by products and research. Responsibilities include maintaining and building high-velocity data workflows, enabling dataset creation for ML teams, influencing data storage and processing strategies, and reducing time-to-deployment for models and dashboards. Requirements include a minimum of 3 years in a data role, at least 2 years professional software development experience outside data engineering, strong Python skills, experience with Kafka, distributed systems, SQL/NoSQL (preferably ClickHouse), familiarity with AWS or Azure, and experience with Kubernetes, containerization, and CI/CD. The role is fully remote and subject to pre-employment screening and identity verification.

Design and implement ML models that scale to millions of requests per second, translate business requirements into technical specifications, evaluate and debug models, and provide technical mentorship. Role combines research, engineering, and deployment work in a fully remote, flexible-hours environment. Requires 5+ years professional applied ML experience and experience with real-time, incremental, and online learning.

Lead and architect large-scale, production ML projects from design through deployment and maintenance. Require 7+ years building and maintaining production ML systems with focus on scalability, performance, reliability, and leadership. Familiarity with Kubernetes, containerization, distributed systems, and experience mentoring other ML engineers. Positions listed for Poland, Romania, Austria, and Croatia; role is fully remote with flexible hours.

The role leads the ML Security team responsible for bot, agent, and human fraud/abuse detection, owning execution of roadmaps, architectural and technical decisions, code reviews, mentoring, and delivery from data exploration through production deployment and monitoring. Required: strong ML/data science or engineering background with production ML experience, engineering management or tech lead experience, expertise in high-availability and distributed systems, Python, ML pipelines, MLOps, and strong cross-functional communication. Position is fully remote with flexible hours; all candidates will undergo pre-employment screening and identity verification in their country of residence.

Intuition Machines (IMI) offers a selective remote AI/ML Research Fellowship (10 places) for the 2027 term, 6 or 12 months. Fellows spend ~80% on independent research (frontier topics such as model architecture, sample efficiency, explainability, continual learning, and AI safety), receive compute and weekly 1:1 mentorship, and are expected to produce research outputs (papers/code) or a final report. Applicants must provide public evidence of self-directed research (publications or equivalent). The program does not sponsor visas, supports conference travel for accepted papers, and admits fellows worldwide (excluding sanctioned jurisdictions).