Intuition Machines, Inc.

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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🔥 Lead ML Engineer

Posted 2024-11-15

📍 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 2024-11-15

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🔥 Senior ML Applied Scientist

Posted 2024-10-21

📍 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 miningData scienceGoPandasCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-10-21

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🔥 Senior ML Backend Engineer

Posted 2024-10-21

📍 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.

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Posted 2024-10-21

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🔥 Senior Security Automation Engineer with Python

Posted 2024-10-21

📍 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 2024-10-21

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🔥 Senior Python Engineer

Posted 2024-10-12

📍 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 LearningJavaScriptAlgorithmsAzureClickhouseRedisCI/CD

Posted 2024-10-12

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🔥 Senior ML Engineer (LLMs)

Posted 2024-10-12

📍 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 LeadershipAlgorithmsData analysisGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-10-12

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🔥 Senior Data Engineer

Posted 2024-10-12

📍 Poland

🧭 Full-Time

🔍 Enterprise security products

Thoughtful, conscientious, and self-directed.
Experience with data engineering services on major cloud providers.
Minimum of 3 years of experience in a data role involving designing and building data stores, feature engineering, and building reliable data pipelines.
Proven ability to make independent decisions regarding data processing strategy and architecture.
At least 2 years of professional software development experience.
Significant experience coding in Python.
Experience in building and 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, and microservice design.

Maintain, extend, and improve existing data/ML workflows.
Implement new workflows to handle high-velocity data.
Provide interfaces for ML engineers and researchers to build datasets on demand.
Influence data storage and processing strategies.
Collaborate with ML, frontend, and backend teams on the data platform.
Reduce time-to-deployment for dashboards and ML models.
Establish best practices and develop efficient pipelines for dataset creation.
Work with large datasets under performance constraints.
Focus on quick iteration to deploy new products or features.

AWSPythonSoftware DevelopmentSQLKafkaKubernetesStrategyAzureClickhouseData engineeringNosqlCI/CD

Posted 2024-10-12

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🔥 Growth Hacker

Posted 2024-10-12

📍 United States

🧭 Full-Time

🔍 Cybersecurity

4+ years managing website experiences for a large company.
Deep understanding of marketing funnels and user journeys, with a focus on conversions and user experience.
Familiarity with product-led growth strategies, where the product itself is a key driver of customer acquisition and retention.
In-depth understanding of cybersecurity principles and pain points.
Exceptional writing and communication skills, able to explain complex concepts clearly and succinctly.
Comprehensive understanding of SEO and related strategies.
Proven experience in digital marketing, including content marketing, social media, email marketing, and PPC campaigns.
Strong analytical skills with the ability to interpret data, generate insights, and make data-driven decisions.
Proficient in pulling data and building reports within CRM systems, Redash, etc.
Proficiency in Python and SQL for data analysis, automation, and developing scripts for marketing campaigns.
Experience with growth hacking techniques and strategies.

Design, execute, and measure experiments to boost traffic and engagement on hcaptcha.com.
Ensure visitors recognize hCaptcha as the premier ML security platform to drive qualified opportunities and activated sign-ups.
Partner with Sales Operations to monitor, analyze, and report on key performance metrics for hCaptcha web properties, making data-driven recommendations for continuous improvement.
Manage relationships with external organizations to drive co-marketing activities, referral partnerships, and more.
Conduct market research to identify new opportunities and refine existing strategies.

PythonSQLCybersecurityData AnalysisData analysisCommunication SkillsAnalytical Skills

Posted 2024-10-12

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🔥 Sales Operations Manager

Posted 2024-10-09

📍 Argentina

🔍 AI/ML and enterprise security

Bachelor’s degree in Business, Sales, or a related field.
Proven experience in sales operations, preferably in the SaaS industry.
Strong analytical and data-driven decision-making skills.
Expertise in sales technology and CRM systems, with HubSpot experience required.
Excellent communication and interpersonal skills.
Ability to thrive in a fast-paced and dynamic environment.
Detail-oriented, with a focus on process improvement and optimization.

Assess and improve the efficiency of the entire sales cycle, from lead generation to deal closure.
Develop and implement standardized sales processes, workflows, and best practices.
Continuously analyze and optimize the sales pipeline to increase conversion rates.
Maintain and develop sales data analytics and reporting systems.
Generate regular sales performance reports, forecasts, and insights.
Provide actionable recommendations based on data analysis to enhance sales strategies.
Oversee the selection and implementation of sales technology and tools, including CRM and sales enablement platforms.
Ensure the sales team is effectively trained and utilizing these tools to maximize productivity.
Work closely with sales representatives to maintain data integrity and accuracy.
Collaborate with finance and sales leadership to create accurate sales forecasts and budgets.
Monitor sales performance against targets and adjust as needed to ensure success.
Lead sales training and onboarding programs to improve team skills and product knowledge.
Collaborate with marketing, product development, and customer success teams to align strategies and improve customer experiences.
Serve as a liaison between the sales team and other departments, communicating needs and feedback.
Document and maintain sales processes and procedures for reference and training purposes.
Ensure consistency and adherence to established sales protocols.

Data AnalysisProduct DevelopmentData analysis

Posted 2024-10-09

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🔥 Senior Cyber Security Fraud Analyst

Posted 2024-09-20

📍 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 AnalysisData analysisCollaboration

Posted 2024-09-20

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Intuition Machines, Inc.

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