1X Technologies AS Research Engineer interview questions & guide 2026

Expect that your interview questions will be representative of the types of challenges you will face at 1X Technologies AS. They are designed to assess both your technical competencies and your problem-solving capabilities. Below are some common categories and example questions:

Technical / Domain Knowledge

This category evaluates your expertise in relevant fields such as machine learning, robotics, and software engineering.

• Explain the differences between supervised and unsupervised learning.
• Describe a project where you implemented a reinforcement learning algorithm. What challenges did you face?

Preparation is key to succeeding in your interviews with 1X Technologies AS. Understanding the evaluation criteria will help you focus your studies and practice effectively.

Role-related knowledge – You should demonstrate a solid understanding of the key concepts and technologies relevant to the role, such as machine learning algorithms, robotics principles, and software engineering practices. Interviewers will assess your depth of knowledge and ability to apply it in real-world scenarios.

Problem-solving ability – Be prepared to showcase your analytical skills. Interviewers look for how you approach challenges, structure your thoughts, and arrive at solutions. Use the STAR (Situation, Task, Action, Result) method to articulate your thought process clearly.

Culture fit / values – 1X Technologies AS values collaboration, innovation, and integrity. Be ready to discuss how your values align with the company’s mission and how you contribute positively to team dynamics.

The interview process at 1X Technologies AS is designed to rigorously evaluate both technical skills and cultural fit. Typically, candidates undergo an initial technical phone interview, which covers various topics, including machine learning, robotics, and software engineering fundamentals. This stage is followed by a coding round, where you will solve algorithmic challenges and potentially design questions focusing on reinforcement learning.

Throughout the process, expect a collaborative atmosphere where your problem-solving approach and communication skills are assessed alongside your technical abilities. The company emphasizes data-driven decision-making and values candidates who can articulate their reasoning and contribute to team discussions.

This visual timeline shows the typical stages of the interview process, including technical screens and on-site interviews. Use it to plan your preparation and manage your energy effectively across the different stages. Be mindful that the process may vary slightly based on the specific role or team.

Technical Knowledge

Technical knowledge is fundamental for a Research Engineer at 1X Technologies AS. Interviewers assess your understanding of algorithms, systems, and the specific technologies you will be using.

• Machine Learning Concepts – Understand the core principles of machine learning, including supervised and unsupervised learning, reinforcement learning, and model evaluation.
• Robotics Fundamentals – Familiarize yourself with the basics of robotics, including kinematics, control systems, and sensor integration.
• Software Engineering Practices – Be prepared to discuss software design patterns, testing methodologies, and version control systems.

Example questions:

• What are the differences between LSTM and GRU?
• How do you implement a PID controller in a robotic system?
• Describe your experience with cloud services for deploying machine learning models.

Problem-Solving Skills

Your ability to tackle complex problems is critical in this role. Interviewers will evaluate how you approach challenges logically and creatively.

• Analytical Thinking – Show how you break down problems into manageable parts and develop structured solutions.
• Creativity in Solutions – Be ready to demonstrate innovative thinking and how you have applied it in past projects.
• Case Study Discussions – You may be presented with hypothetical scenarios to evaluate your problem-solving approach.

Example questions:

• Given a dataset with missing values, how would you handle it?
• Discuss a time when you had to troubleshoot a failing system.

Collaboration and Communication

Successful collaboration and communication are essential for driving projects forward. Interviewers will evaluate your ability to work effectively with others and articulate your ideas clearly.

• Team Dynamics – Be prepared to discuss how you have contributed to team success and managed conflict.
• Technical Communication – You should be able to explain complex concepts to diverse audiences, both technical and non-technical.

Example questions:

• How do you keep stakeholders informed during a project?
• Describe a situation where you had to influence a decision without direct authority.

As a Research Engineer at 1X Technologies AS, your day-to-day responsibilities will include designing and implementing algorithms for machine learning and robotics projects, collaborating with cross-functional teams to deliver innovative solutions, and conducting experiments to validate hypotheses. You will also be expected to document your findings and present them to stakeholders, contributing to the continuous improvement of processes and technologies.

You will work on projects that span various applications, such as developing reinforcement learning models for dynamic environments or optimizing data infrastructure for large-scale analysis. Collaborating closely with teams in engineering and product will ensure that your research translates into actionable insights and effective product enhancements.

To be a competitive candidate for the Research Engineer position at 1X Technologies AS, you should possess the following qualifications:

• Must-have skills:

  • Strong foundation in machine learning and statistical analysis.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Experience with robotics frameworks (e.g., ROS).
  • Knowledge of algorithms and data structures.

• Nice-to-have skills:

  • Familiarity with cloud computing platforms (e.g., AWS, Azure).
  • Experience with containerization technologies (e.g., Docker).
  • Advanced degrees (Masters or Ph.D.) in relevant fields.

Q: How difficult are the interviews? The interviews are designed to challenge your technical knowledge and problem-solving abilities. Candidates typically prepare for several weeks to feel confident.

Q: What differentiates successful candidates? Successful candidates demonstrate a strong balance of technical expertise, problem-solving skills, and effective communication. They also align closely with the company's values.

Q: What is the culture like at 1X Technologies AS? The culture emphasizes collaboration, innovation, and integrity. Engineers are encouraged to think creatively and share ideas openly.

Q: What is the typical timeline from the initial screen to an offer? The timeline can vary, but candidates usually receive feedback within a few weeks after the final interview round.

Q: Are there remote work options? While some positions may allow for remote work, most roles encourage collaboration in person, especially for research-focused positions.

• Practice coding regularly: Regular coding practice will help you perform well in technical assessments and improve your problem-solving speed.
• Engage with the community: Participate in forums or local meetups related to machine learning and robotics to build your network and stay current with trends.
• Prepare for behavioral questions: Reflect on your past experiences and be ready to discuss how they relate to the company's culture and values.
• Clarify questions during interviews: Don’t hesitate to ask clarifying questions if you do not understand a problem prompt; it shows your willingness to engage and ensures you provide a thoughtful response.

The Research Engineer position at 1X Technologies AS is a challenging yet rewarding opportunity that allows you to contribute to groundbreaking technologies in machine learning and robotics. As you prepare, focus on the evaluation themes, question patterns, and the specific skills needed for the role. Your technical expertise, problem-solving capabilities, and ability to collaborate will be key to your success.

Remember that thorough preparation can significantly enhance your performance. Leverage the insights provided here and consider exploring additional resources available on Dataford for more interview tips and strategies. You have the potential to excel in this role and make a meaningful impact at 1X Technologies AS.