AI Modeling Engineer

Physical Robotics; Oslo fylke; Hybrid; NOK 201,000 - 268,000; Full time

Benefits offered by this job

Career growth

Remote work options

Networking opportunities

Professional development

Work-life balance

Job summary

Physical Robotics AS in Norway invites a motivated student to join the Physical Robotics team as an AI Modeling Engineer internship. Work on cutting-edge humanoid robotics, prototyping algorithms, and ML-based perception in a collaborative environment.

You will contribute to electronics-oriented design discussions and explore innovative AI-driven solutions with a multidisciplinary team. A strong portfolio and relevant coursework are expected.

Qualifications

• Field of Study: Computer Science, Robotics, AI, Machine Learning, Electrical or Mechanical Engineering.
• Academic level: Bachelor’s (final year), Master’s or PhD student.
• Hands-on projects in robotics and AI.

Responsibilities

• Assist in robotics prototyping and experimentations.
• Develop ML models and AI-based systems for robots.
• Collaborate with cross-functional teams in RoboCup/DARPA contexts.

Skills

Python

C++

MATLAB

ROS

TensorFlow

PyTorch

Computer Vision

NLP

Machine Learning

Linear Algebra

Education

Bachelor's/Master/PhD student

Tools

ROS

Git

Job description

AI Modeling Engineer

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

• Programming Proficiency:some textPython, C++, or MATLAB (commonly used in robotics and AI).Familiarity with frameworks such as TensorFlow, PyTorch, or ROS (Robot Operating System).
• Python, C++, or MATLAB (commonly used in robotics and AI).
• Familiarity with frameworks such as TensorFlow, PyTorch, or ROS (Robot Operating System).
• Machine Learning and AI:some textExperience 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.
• 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.
• Mathematical and Analytical Skills:some textStrong foundation in linear algebra, calculus, probability, and statistics.Familiarity with optimization techniques.
• Strong foundation in linear algebra, calculus, probability, and statistics.
• Familiarity with optimization techniques.

  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:some textBuilding small-scale robots.Developing machine learning models or AI-based systems.Working on robotics competitions (e.g., RoboCup, DARPA Robotics Challenge).
  • 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:some textRelevant academic projects.Personal or team projects (GitHub repository, if available).Papers or presentations related to AI and robotics.
  • 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

  • Career Growth Opportunities:Opportunities to grow professionally by leading financial strategies for an innovative company at the forefront of humanoid robotics.
  • Innovative and Dynamic Work Environment:Be part of a fast-paced, high-tech industry, contributing to groundbreaking technological advancements.
  • Networking and Exposure:Interaction with top-tier investors, board members, industry leaders, and key stakeholders.
  • Professional Development and Learning:Access to ongoing education, training, and cutting-edge financial tools.
  • Work-Life Balance Flexibility:Flexible work arrangements, including remote work options, to maintain a balanced lifestyle.
  • 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