Senior Robot Learning Engineer

**Location**
- Singapore, Central Singapore**Job Type**
- Permanent**Salary**
- $8,000 - $14,000 Per Month**Date Posted**
- 2 hours agoAdditional Details

**Job ID**
- 95679**Job Views**
- 1Roles & Responsibilities

**About us**
This is an opportunity to drive Dyson's ambitious robotics research programme forward by planning, designing, and developing cutting-edge robotics perception & localization systems to solve problems in real world robotics. The role involves the research and development of systems for Dyson’s future autonomous and intelligent products. You will be working in a highly multidisciplinary team covering topics including Computer Vision, Machine Learning, Robot Control, Mechatronics and Electronics, Human-Robot Interaction, all with the backdrop of friendly and multi-cultural work environment. Advanced robotics will change the world of engineering for good. At Dyson, we’ve been developing robot technology for over 20 years - 200 engineers, 420 patents and £28m has already gone into our first robot vacuum. But this is just the start of the domestic robotics revolution. The team is advancing the systems that make our robots more intelligent, adaptable and physically capable.

**About the role**
Dyson seeks applicants who have first-hand experience of applied robotics and a portfolio of robotics projects. We seek people with initiative, creativity, and the ability to learn fast, along with a cross-section of skills that will make a contribution to the company.
- Be good communicators capable of explaining complex concepts clearly and succinctly.
- Work in a tightly coupled, cross-functional and multi-cultural team environment.
- Work autonomously under limited supervision to achieve big-picture goals.
- Design, implement and evaluate novel perception solutions for Dyson’s next generation robotic platforms, to address real world robotic challenges.
- Prototype solutions in simulation and in hardware to perform thorough quantitative evaluation to assess suitability and robustness.
- Seek out, understand and resolve the challenging edge cases that arise when operating in real-world domestic environments.
- Work within multidisciplinary team to design systems that take into account the physical, computational and cost constraints of the target platform.
- Develop software in C++ and Python and deploy & test on prototype/target hardware.
- Maintain awareness of emerging technologies within robotics, and keep up to date with industry best practices and trends.

**About you**
- Master/PhD degree (or equivalent industrial experience) in computer vision/robotics or related disciplines, applied to practical robotics sensing and perception problems.
- Experience with various computer vision algorithms such as object identification, object tracking, point cloud registration, and image segmentation
- Have experience and solid understanding of 2D and 3D vision systems
- Able to integrate perception modules with the wider prototype robotics systems
- Self-motivated and an ability to work in an interdisciplinary team.
- Experience with robotics simulation (e.g. Gazebo, PyBullet)
- Proficiency in C++, Python, and ROS (Robot Operating System) and other open-source libraries and tools.
- Experience developing and deploying software in a Linux environment using modern development practices.

Desirable:

- 3+ year applied robotics experience.
- Experience working with highly articulated mobile robots operating within complex real-world environments.

**Benefits**:
- Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.Tags

senior

robot

learning

engineer

perception