Intern/ Junior/ Senior - AI Engineer for Robotics

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 compete at the top level-because humanoids are a global race.
Why Physical Robotics
Core team impact: your work contributes to the AI capability that defines the humanoid platform
Real-world focus: models must survive reality, not just benchmarks
Competitive salary + incentive option program
Work at the intersection of robotics, hardware, ML, and deployment
A chance to help build technology the world will copy
Apply
If you're driven by hard problems and high standards, apply-even if you're not sure you qualify. If you can solve, learn, and ship, we want to talk.
Send your CV to [protected info]
Subject: Junior AI Engineer - Humanoid Robotics - [Your Name]