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Lead ML Engineer Job Opening In Kraków – Now Hiring Intuition Machines, Inc.


Job description

Intuition Machines builds enterprise security products with an AI/ML focus.

We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world.

You are probably familiar with our best-known product, the hCaptcha security suite.

Our approach is simple: low overhead, small teams, and rapid iteration.

We’re looking for a Lead Machine Learning Engineer with strong software engineering skills and a creative mindset for ML-focused problem-solving. 


What you'll do here:

  • 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.


What you'll learn:

  • Work on systems that affect millions of users daily, scaling machine learning systems with billions of data points and millions of inferences per second.
  • Gain experience in architecting and scaling advanced ML solutions for real-world challenges, moving beyond standard approaches from research papers.
  • Have the opportunity to define technical strategy, contribute to significant ML advancements, and guide the future direction of ML systems at scale.


What we are looking for:

  • 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.

Our tech stack includes Python, Kubernetes, Clickhouse, Argo, Kafka.


What we offer:

  • Fully remote position with flexible working hours.
  • An inspiring team of colleagues spread all over the world.
  • Pleasant, modern development and deployment workflows: ship early, ship often.
  • High impact: lots of users, happy customers, high growth, and cutting edge R&D.
  • Flat organization, direct interaction with customer teams.

We celebrate diversity and are committed to creating an inclusive environment for all members of our team.

Join us as we transform cyber security, user privacy, and machine learning online!

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Lead ML Potential: Insight & Career Growth Guide


Real-time Lead ML Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Lead ML in Kraków, Poland, highlighting market share and opportunities for professionals in Lead ML roles.

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Are You Looking for Lead ML Engineer Job?

Great news! is currently hiring and seeking a Lead ML Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Intuition Machines, Inc. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Poland laws and regulations

What Is the Average Salary Range for Lead ML Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Kraków. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Lead ML Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead ML Engineer Job Success

Intuition Machines, Inc. interview tips for Lead ML Engineer

Here are some tips to help you prepare for and ace your Lead ML Engineer job interview:

Before the Interview:

Research: Learn about the Intuition Machines, Inc.'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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To prepare for your Lead ML Engineer interview at Intuition Machines, Inc., research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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