全职 Robotics Software Engineer, Robot Learning and Manipulation 工作, 薪水, Ability Robotics 公司招聘中 - Ricebowl

About Us:

Phridom AI - Ability Robotics is an early-stage robotics and AI company building the core systems behind embodied intelligence. Our technologies help robots understand the physical world, learn intelligent behaviours, and operate reliably in real environments. We’  re still in stealth, but we’  re already working with a select group of partners to validate our systems in high-impact robotics applications. If you're excited to build foundational technologies for the next generation of robotics and want meaningful ownership over hard technical problems, we'd love to hear from you.

Role Overview:

As a Robot Learning Engineer, you'll develop learning-based systems that enable robots to acquire and execute intelligent behaviors in the real world. You'll work across data, perception, learning, and deployment, building pipelines that transform observations into robust robot actions. Your work will directly improve how embodied robots learn, adapt, and operate in real- world environments, helping bridge the gap between machine learning research and reliable robotic systems.

What you'll work on

1. Design and implement learning-based pipelines that map perception and data to robot behaviors

2.  Train, evaluate, and iterate on robot learning systems using real-world or realistically collected data

3.  Work with perception and systems engineers to define clean interfaces between learning components and upstream/downstream modules

4. Debug learning failures by analyzing data, model behavior, and system interactions

5.  Support deployment of learned behaviors on real robotic platforms, considering stability, safety, and system constraints

6. Improve learning workflows to make experimentation, evaluation, and iteration more reliable over time

Technical Requirements

Must Have

1. Bachelor’  s or Master’  s degree in Robotics, Computer Science, Machine Learning, 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 robot learning methods, such as reinforcement learning, imitation learning, or data-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 to maintain and iterate on non-trivial learning code bases

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, or hybrid data pipelines

3. Experience working with experiment tracking, evaluation tooling, or reproducible learning workflows

4. Understanding of safety, stability, or latency considerations in robot learning systems

5. Prior collaboration with perception, systems, or infrastructure teams in a robotics setting

6. Good English proficiency (spoken and written)

Your Impact

1. Your work will enable robots to learn and perform increasingly capable behaviors in real- world environments, not just controlled research settings.

2. You'll help transform data and perception into deployable robot intelligence by building learning systems that are robust, reliable, and scalable.

3. You'll improve how quickly the team can experiment, evaluate, and iterate on robot behaviors, accelerating the path from ideas to deployment.

4. You'll play a key role in bringing modern robot learning techniques into production systems that operate on real robotic platforms.

Join us at an early stage and help build the core software infrastructure behind humanoid and

embodied robotic systems heading toward real-world deployment. We move fast, ship often,

and give engineers meaningful ownership__so you'll learn quickly, tackle high-impact challenges, and see your work running on real robots outside the lab. With active business across China and beyond, you'll gain unique exposure to global robotics ecosystems, customers, and partners as the company scales.

Location

This role is based in either Singapore, or Shenzhen, China, working closely with the engineering team and robotic systems.

How to Apply

Send your resume and a brief introduction outlining your relevant experience and interest in the role.

We'd also love to see examples of simulation environments, robotics projects, synthetic data pipelines, or other work you're proud of.