2 часа назад
Senior Tensor AI Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Tensor AI Scientist (Tensor Networks/Deep Learning): Advancing tensor network research and developing efficient machine learning architectures, training methods, and optimisation algorithms with an accent on large-scale deep learning, model compression, and mathematical modelling. Focus on designing and validating new algorithms, running distributed training on GPU and HPC platforms, applying methods to real-world problems, and mentoring junior researchers.
Location: Germany — Hybrid
Company
develops quantum technologies and quantum-as-a-service solutions combining quantum computing with high-performance classical computing for machine learning, optimisation, simulation, and security.
What you will do
- Advance and scale tensor network research beyond the current state of the art.
- Develop efficient machine learning architectures, training methods, optimisation algorithms, and model compression techniques.
- Design and train modern deep learning models, including transformers, with a focus on efficient large-scale training.
- Take research ideas from concept through algorithm development and validated results, applying them to challenging real-world problems.
- Collaborate with scientists and engineers to run methods efficiently on modern computing platforms.
- Contribute to patents and publications, represent the company at conferences, structure research activities, and mentor junior colleagues.
Requirements
- More than 5 years of relevant post-PhD experience, or equivalent experience after an MSc, in machine learning, applied mathematics, computer science, or a related field.
- Strong mathematical foundations in linear algebra, numerical methods, optimisation, probability, and machine learning optimisation.
- Hands-on experience training transformers or other modern deep learning models using PyTorch or JAX, including efficient large-scale training and fine-tuning.
- Experience with low-rank methods, quantisation, distillation, sparsity, GPU and HPC environments, distributed training, and Python software engineering.
- A record of publications or patents and the ability to independently lead research from concept to result.
- Strong communication and organisational skills, with the ability to guide and develop junior colleagues.
Nice to have
- Knowledge of tensor networks and related numerical and optimisation methods.
- Experience in finance, chemistry, or operations.
- Knowledge of C++ and familiarity with quantum computing.
Culture & Benefits
- Work with experts in quantum technologies and an experienced leadership team.
- Exposure to advanced developments in science and engineering.
- Flexible working arrangements and the option to work remotely or from an office space.
- Personal development plan with clear advancement goals.
- Supportive, diverse, and collaborative environment focused on trust, excellence, continuous improvement, innovation, and initiative.
- Competitive salary.
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