Research Engineer Intern

GenBio AI; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

An innovative start-up is seeking talented individuals to join their team in advancing the field of biology and medicine through generative AI. This role involves conducting pioneering research, improving AI models, and collaborating with experts in machine learning and computational biology. As part of a forward-thinking organization, you will have the opportunity to work on state-of-the-art biology foundation models and make a significant impact in healthcare. If you are passionate about AI and eager to contribute to transformative solutions, this is the perfect opportunity for you.

Qualifications

• Strong coding skills in C/C++ and Python required.
• Experience with deep learning frameworks like PyTorch and Hugging Face.

Responsibilities

• Conduct cutting-edge research in AI and computational biology.
• Collaborate on large-scale experiments and analyze complex datasets.

Skills

C/C++

Python

Deep Learning

Statistical Techniques

CUDA

Machine Learning

AI Accelerators

Education

Master's in Computer Science

PhD in Computer Science

Tools

PyTorch

Hugging Face

Megatron-LM

DeepSpeed

Job description

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Description:

• You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
• Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI’s state-of-the-art biology foundation models and drive the research agenda to generate impact.

Qualification:

• Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States).
• A strong coder with excellent skills in C/C++ and Python.
• Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc.
• Have a solid understanding of GPU, CPU, or other AI accelerator architectures.
• Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters).
• Have experience improving ML accuracy using low-precision formats.
• Have 1+ years of relevant industry experience.
• Derive a great deal of satisfaction from every percentage point of performance improvement.
• Have experience writing and optimizing compute kernels using CUDA or similar languages.

Nice to Have:

• Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems.
• Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.
• Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks.
• Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN).
• Knowledge of performance profiling and optimization tools for HPC and deep learning.

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.