Planning and Behaviour Research Engineer

2 weeks ago

Bukit Timah, Singapore Moovita Full time

**Do work that matters**
- You are empowered to change how the world moves in the near future at MooVita. This is where imaginative individuals come together to build something purposeful for the world. We build upon a purpose that, in return, drives profits.**We are Powered by Our People**

“Here, mentors challenge and develop you, enriching your professional career experience. We invest in you, who grow together as a company. We build you a purpose-led career further than you ever thought possible. And we believe in a better you.”
- Derrick Loh, Co-Founder, and CEO, MooVita**Our Values**

**Trust**
- We believe that trust and respect are essential for teamwork**Caring**
- We believe in being friendly, helpful and kind to all employees in all circumstances**Fairness**
- We are committed to dealing fairly with all stakeholders (clients, suppliers, partners and employees)**Now is the perfect time to join us**

Natalie Lim, Marketing Manager, MooVita
- At MooVita, we work together as a big family, each holding an equal position and responsibility. We keep each other in check, ensuring no one is left behind. I am genuinely thankful that I am given many opportunities to develop myself professionally.

Xin Yi, HR Executive
- I love that MooVita gives me high autonomy in the tasks I am given. There are many opportunities to work collaboratively with other teams. I have a lot of support from my team whenever needed, which is why I don’t feel that work is not fun Not only that, there is flexibility in working to provide a healthy work-life balance.

Planning and Behaviour Research Engineer

**Responsibilities**:

- Research, develop, and translate methods at the frontier of learning, prediction, and planning to improve MooVita’s current behaviour and decision-making stack
- Develop rigorous performance evaluation of developed intelligent behaviour modules and benchmarking with existing best-in-class methods
- Work with team on efficient implementation, testing and validation of developed algorithms in AV simulation environments and on real vehicle

**Requirements**:

- Master or PhD degree in Computer Science, Engineering or related field
- Deep knowledge and practical experience with AI and learning based approaches (e.g. deep learning, reinforcement learning, transformer) for prediction, planning, or decision-making
- Excellent C/C++ and/or python programming skills
- Knowledge of Linux, and development on Linux systems

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