AI Research Scientist

FACEBOOK SINGAPORE PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology company in Singapore is seeking a Research Scientist focusing on embodied artificial intelligence. The ideal candidate will conduct pioneering research, develop machine learning algorithms, and work closely with a diverse team of engineers and scientists. Applicants are expected to have a Bachelor's degree in a relevant field and be pursuing a PhD. This role offers the opportunity to shape future technologies beyond traditional digital connection.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• Currently pursuing a PhD in Artificial Intelligence, Robotics, or relevant area.
• Experience in robotics or machine learning research.

Responsibilities

• Conduct research in embodied artificial intelligence.
• Develop algorithms for machine learning and neural networks.
• Collaborate with scientists and engineers on novel prototypes.

Skills

Robotics

Machine Learning

Deep Learning

Computer Vision

Reinforcement Learning

Data Analysis

Education

Bachelor's degree in Computer Science or relevant technical field

PhD in Artificial Intelligence or related field

Tools

PyTorch

TensorFlow

Python

Job description

The ideal Research Scientist candidate will use their skills in system design and modeling and possess knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.

Responsibilities

• Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
• Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
• Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
• Develop algorithms based on state-of-the-art machine learning and neural network methodologies
• Define, build and benchmark new functionalities needed for the next generation of AI
• Conduct research towards long-term product goals while identifying intermediate milestones
• Plan and execute novel research based on long-term objectives of the organization

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
• Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
• Experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI

Preferred Qualifications

• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
• Experience working with robot simulations and real-world hardware
• Experience working and communicating cross functionally in a team environment
• 2+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
• Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
• Experience building systems based on machine learning and/or deep learning methods
• Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.