AI Modeling Engineer

AI Modeling Engineer

Experience with supervised, unsupervised, and reinforcement learning models. Understanding of computer vision algorithms

Making History

How will humanoid robots transform the world in the future? Are you confident to be one of the first 10 talents in our Physical Robotics team?

We are looking for candidates who are genuinely passionate about robotics/AI and have a strong desire to innovate. They should be excited about the opportunity to work on cutting-edge technology and demonstrate a track record of creative problem-solving.

The candidates should have experience in electronics design, as well as a deep understanding of the field's technical challenges and advancements. They should be able to see opportunities where others might see only challenges and devise innovative solutions to problems.

Vision of the Company

Physical Robotics AS is a start-up company based in Norway. The company is backed by a top VC in Norway and local industries and investors in the Oslo-Viken region. We are at the forefront of humanoid robot development, creating robots that can perform physical tasks with dexterity similar to humans for jobs that humans do not want to do.

The company participates in the race to develop robot hardware and physical intelligence, competing with big players such as Tesla, Figure, Boston Dynamics, Toyota, Xiaomi, and 1X Technologies. We expect to catch the trend of humanoid robot applications in manufacturing and industries by 2027-2028.

Educational Background

• Field of Study: Pursuing a degree in Computer Science, Robotics, Artificial Intelligence, Machine Learning, Electrical Engineering, Mechanical Engineering, or a related field.
• Academic Level: Bachelor's (final year), Master's, or Ph.D. students, depending on the complexity of the role.

Technical Skills

1. Programming Proficiency:
   • Python, C++, or MATLAB (commonly used in robotics and AI).
   • Familiarity with frameworks such as TensorFlow, PyTorch, or ROS (Robot Operating System).
2. Machine Learning and AI:
   • Experience with supervised, unsupervised, and reinforcement learning models.
   • Understanding of computer vision algorithms (e.g., for facial recognition, gesture detection).
   • Knowledge of NLP (Natural Language Processing) if the humanoid robot interacts conversationally.
3. Mathematical and Analytical Skills:
   • Strong foundation in linear algebra, calculus, probability, and statistics.
   • Familiarity with optimization techniques.
4. Robotics-Specific Skills:
   • Kinematics and dynamics modeling of robotic systems.
   • Sensor integration and data fusion.
   • Real-time control systems.
5. Simulation and 3D Modeling:
   • Proficiency in simulation tools like Gazebo, Simulink, or Unity.
   • Experience with CAD tools (e.g., SolidWorks) for robotics hardware modeling.

Soft Skills

• Problem Solving: Ability to break down complex challenges into manageable tasks.
• Team Collaboration: Comfortable working in multidisciplinary teams (mechanical, electrical, AI, etc.).
• Communication: Effective at documenting and presenting work progress and findings.
• Adaptability: Willingness to learn and explore emerging AI/robotics techniques.

Experience

• Relevant projects in coursework or extracurricular settings, such as:
  • Building small-scale robots.
  • Developing machine learning models or AI-based systems.
  • Working on robotics competitions (e.g., RoboCup, DARPA Robotics Challenge).
• Internship or research experience in robotics or AI (optional but preferred).

Portfolio

• A strong portfolio showcasing:
  • Relevant academic projects.
  • Personal or team projects (GitHub repository, if available).
  • Papers or presentations related to AI and robotics.

Company-Specific Preferences

• Interest Alignment: Passion for humanoid robots or AI-driven technologies.
• Availability: Commitment to a specific internship duration (e.g., 3–6 months).
• Location: Willingness to relocate if the position isn't remote.

Benefits

1. Career Growth Opportunities: Opportunities to grow professionally by leading financial strategies for an innovative company at the forefront of humanoid robotics.
2. Innovative and Dynamic Work Environment: Be part of a fast-paced, high-tech industry, contributing to groundbreaking technological advancements.
3. Networking and Exposure: Interaction with top-tier investors, board members, industry leaders, and key stakeholders.
4. Professional Development and Learning: Access to ongoing education, training, and cutting-edge financial tools.
5. Work-Life Balance Flexibility: Flexible work arrangements, including remote work options, to maintain a balanced lifestyle.
6. Impact on Global Innovation: Contribute to shaping the future of robotics, transforming industries, and improving lives globally.

Interview Process

• Recruiter screening with Giang Pham (COO)
• Technical Deep-Dive conversation with Phuong Nguyen (CEO/CTO)
• Expectation management with Phuong Nguyen, Giang Pham, and others

If you're excited about this role but unsure if you qualify, apply anyway using the form at the top of this page and send your CV to giang@physicalrobotics.com! You may be just the right candidate for this or other roles. We're excited to have you on board!