Research Scientist, Vision Intelligence

About Bitdeer:

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

About AI Lab:

Bitdeer AI Lab is a frontier AI lab under Bitdeer, a global-leading computing power solutions provider. Guided by long-termism, we are committed to exploring the frontiers of artificial intelligence with the ambition, courage, and determination to build technologies that can truly change the world.

We believe that transformative breakthroughs in AI require both long-horizon thinking and relentless execution. Our mission is twofold: first, to effectively transform energy into intelligence; second, to push the limits of intelligence by rethinking AI systems and architectures that can learn more efficiently, reason more deeply, and scale more effectively.

Our vision is to create intelligence that learns more like humans do: efficiently, adaptively, and recursively, turning finite parameters and finite compute into unbounded potential. We pursue this work with a deep sense of purpose, believing that the most meaningful advances in AI will not only push the frontier of research, but also reshape the future of the world.

Our lab is equipped with thousands of cutting-edge GPUs dedicated to AI research, and we are committed to continuously investing in and expanding our computational infrastructure to support world-class research and engineering in artificial intelligence.

What you will be responsible for:

• Explore vision foundation models, taking charge of core algorithm design and model optimization in areas such as data construction, instruction tuning, and preference alignment.
• Dive deep into cutting-edge research and development in the fields of Computer Vision (CV), Machine Learning (ML), and Artificial General Intelligence (AGI).
• Continuously track and explore state-of-the-art technologies in AIGC and multimodal domains, responsible for the design and R&D of core algorithms for image generation, editing, and control.
• Explore novel methods in text-to-image, image-to-image, and Vision-Language Models (VLM), address pain points in existing generative models, and produce high-quality technical patents or top-tier conference papers.

How you will stand out:

• Fresh graduates (Bachelors, Masters, PhD) from all disciplines and/or candidates with up to 2 years of related work experience.
• Solid foundation in Computer Vision and Machine Learning, familiar with core technical fields such as CV, AIGC, NLP, and Reinforcement Learning (RL).
• Excellent fundamental algorithm and coding skills, proficient in C/C++ or Python programming languages.
• In-depth research experience in one or more areas such as multimodal and AIGC; deep understanding of and familiarity with mainstream generative technical routes (e.g., Diffusion, Autoregressive, GANs).
• Good communication and collaboration skills, proactive at work, able to cooperate harmoniously with the team to explore new technologies and drive technical progress.

What you will experience working with us:

• A culture that values authenticity and diversity of thoughts and backgrounds;
• An inclusive and respectable environment with open workspaces and exciting start-up spirit;
• Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
• Ability to contribute directly and make an impact on the future of the digital asset industry;
• Involvement in new projects, developing processes/systems;
• Personal accountability, autonomy, fast growth, and learning opportunities;
• Attractive welfare benefits and developmental opportunities such as training and mentoring.