Intern/ Junior/ Senior - AI Engineer

**Physical Robotics Norway (Oslo–Viken) Core Team Make History**

We’re not hiring “an AI intern.” We’re recruiting a championship-minded AI engineer.

Humanoid robots will become the next industrial revolution: a new labor layer that can do real work in factories, logistics, and environments humans avoid. Most teams will build demos. A few will ship reliable humanoids in the real world and that requires AI that works under real constraints: imperfect sensors, domain shift, limited data, latency, and safety.

We’re building that team.

Small team. High standards. Big ambition.

If you want a career where you can point to a new chapter in the humanoid industry and say “I helped build that”- this is it.

The mission

Physical Robotics is a Norway-based humanoid robotics company founded by Dr. Phuong Nguyen (ex–cofounder of 1X Technologies) and backed by Skyfall Ventures together with leading Norwegian industrial partners and investors. Our objective is to build a world-class humanoid by unifying high-performance hardware with physical intelligence-the capability to perceive, plan, and act robustly in real-world environments.

We are building for the next inflection point: broad industrial deployment of humanoids in manufacturing and operations. We expect adoption to accelerate in 2027–2028, and our strategy is to arrive at that wave with a platform that is production-grade, scalable, and operationally reliable-not a lab prototype. We benchmark ourselves against the strongest global players-Tesla, Figure, Boston Dynamics, Toyota, Xiaomi, 1X Technologies-and we intend Physical Robotics to become a reference name the field follows.

At Physical Robotics, AI is not a research island. It is part of a system that touches reality: hardware, sensors, timing, compute limits, and safety. As a Junior AI Engineer, you will help build models, data pipelines, and evaluation systems that move us from experiments to deployable capability.

What you will own

• Data → model pipeline: preprocessing, dataset building, labeling strategy support, reproducible training runs
• Model evaluation: metrics that reflect reality, ablation discipline, error analysis, stress testing under domain shift
• Deep learning implementation: training and finetuning models in PyTorch / TensorFlow / JAX
• Applied ML domains: contribute to CV / NLP / signal processing components depending on project needs
• LLM post-training: exposure to SFT and post-training workflows for real tasks (not just demos)
• Engineering discipline: clean experiments, versioned configs, documentation, and results that others can reproduce

“Make History” tasks you might contribute to

• Build evaluation pipelines that tell the truth-so the robot improves fast, not just “looks good”
• Help ship perception / language / signal models that are robust in real environments
• Reduce iteration time: better data pipelines, faster training loops, smarter experiments
• Turn prototype notebooks into engineering-grade ML code that can scale with the company
• Contribute to embodied/robotics-facing AI where failure cases matter more than benchmarks

Required (must-have)

• Strong background in Mathematics, Computer Science (DSA, OOP, OS) and AI/ML fundamentals.
• Strong coding skill in Python/C++.
• Familiar with deep learning frameworks: PyTorch / TensorFlow / JAX.
• Experience in CV, NLP, or signal processing.
• Familiarity with data preprocessing and model evaluation.
• Familiar with LLM post-training and SFT.
• Experience in handling noisy dataset and time series dataset processing.
• High learning velocity: willingness to learn new techniques and execute fast.

Preferred (high-leverage)

• Top ranking in Kaggle (competitions, notebooks, rankings)
• Medal or track records in competitive programming (Codeforces, AtCoder, etc.) is a plus
• Hands-on experience in training models from scratch (not just doing fine-tuning on pretrained models).
• Publications in top tier conferences such as Neurips/ICLR/ICML/ICRA/ICCV/CVPR/ACL/BMVC is a plus.
• Interest in robotics or embodied AI

The mindset we’re recruiting

You are:

• Competitive by nature: you want to win, improve, and raise the bar
• Comfortable being measured by outcomes, not effort
• Obsessed with clean experiments and honest evaluation
• Fast to learn, fast to iterate, hard to discourage
• Excited to work in a small team where impact is direct and responsibility is real

This role is for people who want to co…