About Us:
Phridom AI - Ability Robotics is an early-stage robotics and AIcompany building the core systems behind embodied intelligence. Ourtechnologies help robots understand the physical world, learn intelligentbehaviours, and operate reliably in real environments. We’re still in stealth,but we’re already working with a select group of partners to validate oursystems in high-impact robotics applications. If you're excited to buildfoundational technologies for the next generation of robotics and wantmeaningful ownership over hard technical problems, we'd love to hear from you.
Role Overview:
As a Robot Learning Engineer, you'll develop learning-based systemsthat enable robots to acquire and execute intelligent behaviors in the realworld. You'll work across data, perception, learning, and deployment, buildingpipelines that transform observations into robust robot actions. Your work willdirectly improve how embodied robots learn, adapt, and operate in real-worldenvironments, helping bridge the gap between machine learning research andreliable robotic systems.
What you'll work on
1. Design and implement learning-based pipelines that map perception anddata to robot behaviors
2. Train, evaluate, and iterate on robot learning systems usingreal-world or realistically collected data
3. Work with perception and systems engineers to define clean interfacesbetween learning components and upstream/downstream modules
4. Debug learning failures by analyzing data, model behavior, and systeminteractions
5. Support deployment of learned behaviors on real robotic platforms,considering stability, safety, and system constraints
6. Improve learning workflows to make experimentation, evaluation, anditeration more reliable over time
Technical Requirements
Must Have
1. Bachelor’s or Master’s degree in Robotics, Computer Science, MachineLearning, or a related technical field
2. 3+ years of hands-on experience building learning-based systems for robotics or embodied agents
3. Practical experience with robotlearning methods, such as reinforcement learning, imitation learning, ordata-driven control
4. Experience training and evaluating models using real-world or noisy data, not only clean offline benchmarks
5. Solid understanding of how learning systems interact with perception,control, and system constraints
6. Strong programming skills in Python (and/or C++), with the ability tomaintain and iterate on non-trivial learning codebases
7. Ability to debug learning failures by reasoning across data, models,and system behavior
Nice to Have
1. Experience deploying learned behaviors on real robotic platforms
2. Familiarity with simulation-based training, sim-to-real transfer, orhybrid data pipelines
3. Experience working with experiment tracking, evaluation tooling, orreproducible learning workflows
4. Understanding of safety, stability, or latency considerations inrobot learning systems
5. Prior collaboration with perception, systems, or infrastructure teamsin a robotics setting
6. Good English proficiency (spoken and written)
Your Impact
1. Your work will enable robots to learn and perform increasinglycapable behaviors in real-world environments, not just controlled researchsettings.
2. You'll help transform data and perception into deployable robotintelligence by building learning systems that are robust, reliable, andscalable.
3. You'll improve how quickly the team can experiment, evaluate, anditerate on robot behaviors, accelerating the path from ideas to deployment.
4. You'll play a key role in bringing modern robot learning techniquesinto production systems that operate on real robotic platforms.
Why Join Us
Join us at an early stage and help build the core softwareinfrastructure behind humanoid and embodied robotic systems heading towardreal-world deployment. We move fast, ship often, and give engineers meaningfulownership—so you'll learn quickly, tackle high-impact challenges, and see yourwork running on real robots outside the lab. With active business across Chinaand beyond, you'll gain unique exposure to global robotics ecosystems,customers, and partners as the company scales.
Location
This role is based on-site in Singapore, working closely with theengineering team and robotic systems.
Occasional international travel to China and other regions may berequired for training, customer engagements, deployments, and partnercollaborations.
How to Apply
Send your resume and a brief introduction outlining your relevantexperience and interest in the role to info@phridom.com.
We'd also love to see examples of simulation environments, roboticsprojects, synthetic data pipelines, or other work you're proud of.
