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Lead Machine Learning Engineer

Intuition MachinesRemote — Kraków, Lesser Poland Voivodeship, Poland
Remote Full-time

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Experience Level

Manager

Qualifications

Required Qualifications:Over 7 years of experience in developing and managing large-scale production ML systems, emphasizing performance, scalability, and reliability. Demonstrated experience as a key contributor or owner of products utilized by thousands of customers, showcasing the ability to navigate complex design decisions. In-depth knowledge of machine learning algorithms, transitioning ML models into production, and scaling systems for high data volumes. Exceptional problem-solving capabilities with innovative strategies for overcoming technical hurdles. Experience in guiding technical discussions, driving significant decisions, and establishing technical benchmarks for teams. Outstanding written and verbal communication skills, adept at explaining intricate technical concepts to both technical and non-technical audiences. Familiarity with contemporary orchestration platforms (Kubernetes, containerization, microservice architecture) and distributed systems.

About the job

Intuition Machines is at the forefront of building enterprise security solutions infused with cutting-edge AI and machine learning technologies. Our innovative research drives systems that cater to the needs of hundreds of millions of users globally, supported by a diverse team spread across various locations. Among our notable offerings is the hCaptcha security suite, which exemplifies our approach of maintaining low overhead, agile teams, and fast-paced development cycles.

We are seeking a visionary Lead Machine Learning Engineer who possesses robust software engineering prowess and a flair for creatively solving ML-centric challenges.

Responsibilities:

  • Lead the development and execution of large-scale ML projects from concept through to production, managing the entire lifecycle including design, implementation, deployment, and ongoing maintenance.
  • Make strategic architectural decisions to create solutions that are not only scalable and efficient but also maintainable, while carefully balancing both business and technical requirements.
  • Foster collaboration among machine learning and engineering teams to drive product success, effectively influencing technical discussions and decisions across all organizational levels.
  • Design and develop advanced machine learning pipelines and models that deliver substantial impact to millions of users and create tangible business value.
  • Establish technical standards and lead the creation of scalable, testable, and high-performance applications.
  • Provide leadership and mentorship to fellow ML engineers, nurturing the growth of a robust Machine Learning Engineering community.

Opportunities for Growth:

  • Engage with systems that reach millions of users daily, enhancing machine learning systems that process billions of data points and conduct millions of inferences each second.
  • Acquire expertise in architecting and scaling sophisticated ML solutions to tackle real-world challenges, transcending typical methodologies found in academic literature.
  • Seize the opportunity to define the technical strategy, contribute to groundbreaking ML advancements, and steer the future trajectory of ML systems at scale.

About Intuition Machines

Intuition Machines focuses on developing advanced enterprise security products that harness the power of AI and machine learning. With a commitment to innovation and rapid iteration, our global team is dedicated to creating solutions that serve millions of users effectively.

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