Intuition Machines, Inc.

👥 51-100 Internet Education Internet of Things Machine Learning Software💼 Private Company

Intuition Machines, Inc. is a rapidly growing company focused on cutting-edge research in systems, security, and machine learning. Their innovative products serve hundreds of millions of people and are deployed at scale.

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Jobs at this company:

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🔥 Product Quality Analyst

Posted 9 days ago

📍 Argentina, Poland

🔍 Enterprise security products

A degree in Computer Science, Engineering, or related fields, or equivalent professional experience.
Proven experience as a QA Engineer, SDET, or similar role, preferably across multiple platforms.
Developer background or familiarity with coding practices.
Deep understanding of software QA methodologies, tools, and processes.
Familiarity with Agile development practices.
Analytical and problem-solving skills to investigate complex issues.
Clear and timely communication skills to convey findings effectively.
Proven ability to integrate testing into existing workflows.

Develop, execute, and maintain test plans, test cases, and scripts for functional and non-functional requirements.
Perform manual and automated testing on web, mobile, and desktop applications.
Identify, document, prioritize, and track software defects using JIRA and Slack.
Collaborate with cross-functional teams to understand requirements and suggest quality improvements.
Conduct regression testing to ensure stability after code changes.
Stay updated on testing tools and practices to refine strategies.
Create and present QA status reports to stakeholders.

AgileQAQA AutomationJiraAPI testingManual testingRegression testingTestRailSelenium

Posted 9 days ago

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🔥 Lead ML Engineer

Posted 2 months ago

📍 Poland

🔍 Enterprise security products with a focus on AI/ML

7+ years of experience building and maintaining large-scale production ML systems, with a focus on performance, scalability, and reliability.
Proven experience as the owner or significant contributor to products used by tens of thousands of customers, with the ability to make complex design decisions.
Expertise in machine learning algorithms, productionizing ML models, and scaling systems to handle large data volumes.
Strong problem-solving skills with creative approaches to overcoming technical challenges.
Experience leading technical discussions, driving decisions, and setting technical standards for a team.
Excellent written and verbal communication skills, with the ability to articulate complex technical topics to both technical and non-technical stakeholders.
Familiarity with modern orchestration platforms (Kubernetes, containerization, microservice design) and distributed systems.
Ability to identify, define, and segment complex research problems and drive innovative solutions that align with business and technical goals.

Lead large-scale ML projects and products from inception to production, overseeing the entire lifecycle from design and implementation to deployment and maintenance.
Make key architectural decisions to ensure solutions are scalable, efficient, and maintainable while balancing business and technical constraints.
Drive collaboration across ML and engineering teams to ensure product success, influencing technical discussions and decisions at all levels.
Design and implement state-of-the-art machine learning pipelines and models that impact millions of users and generate real business value.
Set technical standards and lead the development of scalable, testable, and high-performance applications.
Provide leadership and mentorship to other ML engineers, fostering the growth of a strong Machine Learning Engineering organization.

LeadershipPythonKafkaKubernetesMachine LearningStrategyAlgorithmsClickhouseCommunication SkillsCollaboration

Posted 2 months ago

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🔥 Senior ML Applied Scientist

Posted 3 months ago

📍 Finland

🔍 AI/ML and enterprise security

Thoughtful, conscientious, and self-directed.
5+ years of professional experience in ML.
Proven experience with the entire modeling lifecycle: building, evaluating, and debugging large ML models.
Experience with large-scale categorical and structured data.
Expertise in real-time ML models, incremental learning, and online learning.
Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc.
Bachelor's Degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience.
Excellent communication, listening, and presentation skills to engage with diverse audiences and support and mentor peers.

Build ML models that can scale to millions of requests per second while maintaining performance.
Translate business requirements into technical specifications.
Develop ML models that satisfy memory and compute constraints, evaluate them properly, and debug effectively.
Provide technical mentorship to other ML research engineers.
Iterate quickly, focusing on shipping early and often for deployment to millions of users.
Write clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
Participate in code reviews and architecture & design sessions, maintaining up-to-date knowledge on technological developments.
Provide technical input to the research roadmap.

LeadershipPythonSoftware DevelopmentArtificial IntelligenceCybersecurityData MiningGitMachine LearningNumpyAlgorithmsData scienceGoPandasCommunication SkillsAnalytical SkillsCollaboration

Posted 3 months ago

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🔥 Senior ML Backend Engineer

Posted 3 months ago

📍 Brazil, Argentina

🔍 Enterprise security products with an AI/ML focus

Thoughtful, conscientious, and self-directed individuals.
5+ years of professional experience building and maintaining large-scale production systems.
In-depth knowledge of Python.
Experience with orchestration platforms (e.g., Kubernetes), containerization, and microservice design.
Experience with SQL and NoSQL databases, distributed systems, and test-driven development.
Bachelor's degree or equivalent experience.
Excellent communication and mentoring skills.
Experience leading technical discussions.

Design, build, and maintain highly reliable backend systems that scale to millions of requests per second.
Translate business goals into technical specifications and iterative development plans.
Work with queue-driven and event-driven designs, REST APIs, and microservice architectures.
Write Python and JavaScript/TypeScript as necessary to meet business objectives.
Ensure code is clearly structured, maintainable, well-documented, and tested.
Collaborate with other backend developers and participate in code reviews.
Take ownership of tasks that are not fully defined.

PythonSQLJavascriptKubernetesTypeScriptNosqlCI/CD

Posted 3 months ago

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🔥 Senior Security Automation Engineer with Python

Posted 3 months ago

📍 Brazil, Argentina

🧭 Full-Time

🔍 Enterprise security, AI/ML

5+ years of full-time development experience, ideally across the stack (Web Frontend, JS, Web APIs, Python, etc.).
Experience integrating security into build, deployment, and test automation; SDLC orchestration; environment management; monitoring; and production.
Understanding of web security paradigms, including the OWASP project.
Hands-on experience and proficiency in API test automation and standardization.
Experience in bug bounty programs and public CVEs/research related to web applications.
Exposure to modern web browser security design, web architecture, network protocols, and web automation frameworks.
Experience with red-teaming, such as developing botnets and white-hat hacking.
Great collaborator and communicator with curiosity.
Good verbal and written communication skills in English.

Develop and maintain SOC security automation capabilities in partnership with the AI/ML research team and security specialists.
Conduct in-depth research on software tools or services that aid threat actors in bypassing our bot detection solutions.
Interact with external security researchers in our bug bounty program.
Own components within the vulnerability management program for our software stack.
Maintain an up-to-date knowledge base of threat intelligence, vulnerabilities, attack vectors, bot management, and adversarial research.
Collaborate with security analysts on demanding security investigations.
Manage technical aspects of integration (configuration, debugging, documentation, testing, go-live) for internal security tooling.
Identify new standards and technologies that could impact security product accuracy.

PythonSoftware DevelopmentCybersecurityCommunication Skills

Posted 3 months ago

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🔥 Senior Python Engineer

Posted 3 months ago

📍 Argentina

🔍 AI/ML enterprise security products

Minimum of 4 years of hands-on experience in a similar role at a SaaS provider.
Expert in backend development in Python.
Experience with orchestration platforms like Kubernetes, metrics-driven staged deployment systems, containerization, and microservice design.
Familiarity with distributed systems: queue-first architectures, sharding, etc.
Demonstrated architecture engineering expertise (gather requirements, problem solve, and recommend).
Familiarity with security frameworks, attack vectors, botnets, OLAP at scale, and online + active learning systems is a plus.
Willingness to learn and work across different technologies: Python, Redis, PostgreSQL, Kafka, Clickhouse, Kubernetes, Helm, AWS, Azure, JavaScript.
Experience or interest in blockchain technologies is desirable.

Prioritize, design, develop, deploy and operate secure, robust, scalable and fast back-end algorithms, logic and services.
Handle operations around code including implementing security and data protection solutions, monitoring and automation, metrics, and automating break-fix and production alarms.
Deeply understand our product and business goals, staying up to date with both our innovations and the market.
Write clearly structured, maintainable, well documented, and tested code that meets our requirements and goals.
Improve our global engineering practice through brainstorming sessions, code reviews, unit testing and automation, and on-call rotation.
Help convert complex requirements into actionable code for sprint pipelines while supporting and mentoring peers.

AWSBackend DevelopmentPostgreSQLPythonJavascriptKafkaKubernetesMachine LearningAlgorithmsAzureClickhouseRedisCI/CD

Posted 3 months ago

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🔥 Senior ML Engineer (LLMs)

Posted 3 months ago

📍 Argentina

🔍 AI/ML enterprise security products

5+ years of professional experience in ML.
Proven experience with the entire modeling lifecycle: building, evaluating, debugging, and productionalizing large ML models.
Strong experience with fine-tuning and deploying LLMs and large vision models.
Experience with generative vision and language models.
Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc.
Bachelor's Degree or an equivalent in a technical or related field from an accredited college or university, or equivalent job experience.
Excellent communication, listening, and presentation skills to engage with diverse audiences and support and mentor peers.

Implement, fine-tune, and evaluate the latest LLMs, large vision models, and multimodal approaches.
Clearly present the results of your experiments, including standard metrics and business goal evaluations.
Implement and deploy solutions iteratively: from POC to MVP to full-scale production.
Translate business requirements into technical specifications for language, vision, or multimodal solutions.
Provide technical mentorship to other ML engineers and researchers.
Iterate quickly, focusing on early and frequent deployment to ensure new products or features reach millions of users.
Write well-structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments and assess their applicability.
Provide technical input to the research and engineering roadmap.

LeadershipPythonSoftware DevelopmentArtificial IntelligenceCybersecurityData AnalysisGitKerasMachine LearningNumpyPyTorchCross-functional Team LeadershipAlgorithmsGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaboration

Posted 3 months ago

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🔥 Senior Data Engineer

Posted 3 months ago

📍 Poland

🧭 Full-Time

🔍 Enterprise security products

Thoughtful, conscientious, and self-directed.
Experience with data engineering services on major cloud providers.
Minimum of 3 years in a data role involving data store design, feature engineering, and building reliable data pipelines.
Proven ability to independently decide on data processing strategies.
At least 2 years of professional software development experience outside data engineering.
Significant coding experience in Python.
Experience in building/maintaining distributed data pipelines.
Experience with Kafka infrastructure and applications.
Deep understanding of SQL and NoSQL databases (preferably Clickhouse).
Familiarity with public cloud providers (AWS or Azure).
Experience with CI/CD and orchestration platforms: Kubernetes, containerization.

Maintain, extend, and improve existing data/ML workflows, and implement new workflows for high-velocity data.
Provide systems for ML engineers and researchers to build datasets on demand.
Influence data storage and processing strategies.
Collaborate with ML, frontend, and backend teams to enhance the data platform.
Reduce deployment time for dashboards and ML models.
Establish best practices and develop pipelines for efficient dataset usage.
Handle large datasets under performance constraints.
Iterate quickly to ensure deployment of products or features to millions of users.

AWSPythonSoftware DevelopmentSQLKafkaKubernetesStrategyAzureClickhouseData engineeringNosqlCI/CD

Posted 3 months ago

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🔥 Senior Cyber Security Fraud Analyst

Posted 4 months ago

📍 Poland, Argentina

🔍 Cybersecurity

Minimum of 3 years of experience in fraud detection, financial data analysis, risk management, or trust & safety.
Proficiency in SQL and ideally Python for data analysis and visualization.
In-depth understanding of fraud detection methodologies and the fraud landscape.
Ability to work with large datasets and derive actionable insights.
Excellent problem-solving skills, with a detail-oriented and analytical mindset.
Strong communication and collaboration skills in English, able to work effectively across teams.
Familiarity with the analysis of web-based and API abuse.

Monitor, identify, and analyze events from diverse data sources, including financial transactions and web traffic, to detect and respond to fraudulent activities.
Conduct advanced investigations of suspected fraud, analyzing behavior patterns and anomalies to assess risk and determine appropriate actions.
Collaborate with cross-functional teams, including Engineering, Product, Customer Support, and SOC, to enhance fraud detection and prevention strategies.
Help build and align fraud detection automation, dashboards, and reports.
Continuously audit and refine fraud detection measures to ensure compliance with industry standards and best practices.
Stay informed of emerging fraud trends, technologies, and regulatory changes to keep our fraud prevention strategies up-to-date.

PythonSQLCybersecurityData AnalysisCollaboration

Posted 4 months ago

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🔥 Senior ML Backend Engineer

Posted 4 months ago

📍 Brazil, Argentina

🔍 Enterprise security, AI/ML

Thoughtful, conscientious, and self-directed individuals.
5+ years of professional experience building and maintaining large-scale production systems, with a focus on performance, scalability, and reliability.
In-depth knowledge of Python.
Experience with orchestration platforms (e.g., Argo, Kubernetes), containerization, and microservice design.
Experience with database systems (SQL, NoSQL), distributed systems and architectures, stream processing, test-driven development (TDD), and CI/CD.
Bachelor's degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience.
Excellent communication, listening, and presentation skills, with experience interacting with diverse audiences and mentoring peers.
Experience leading technical discussions with a team and driving decisions by balancing trade-offs.

Design, build, and maintain highly reliable backend systems that scale to millions of requests per second (RPS).
Translate business goals into technical specifications and iterative development plans. We ship early and often, and our first customer of a new product or feature may involve deploying it to 500 million users.
Work with queue-driven and event-driven designs, REST APIs, serverless and microservice architectures, and multi-cloud/multi-CDN environments using Kubernetes and other orchestrators.
Write Python and JavaScript/TypeScript (JS/TS) as necessary to meet business objectives.
Focus on producing clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
Collaborate with other backend developers to integrate your work with our infrastructure, including automating observability, deployment, quality, and security.
Participate in code reviews and architecture & design sessions. Stay up-to-date with recent developments in relevant technologies and assess their applicability.
Take ownership of tasks that are not fully defined, proactively helping the team to shape and implement them.

PythonSQLJavascriptKubernetesTypeScriptNosqlCI/CD

Posted 4 months ago

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Intuition Machines, Inc.

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