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Research Scientist
Исключительная вакансия для ученых: работа в компании-лидере региона EMEA, партнерство с Google DeepMind и NVIDIA, а также возможность влиять на реальные продукты в области биологии. Высокий престиж и сильное научное сообщество.
Сложность вакансии
Высокая сложность обусловлена требованием ученой степени (Ph.D.), наличием публикаций в топовых научных изданиях (ICLR, NeurIPS) и глубоких знаний в области высокопроизводительных вычислений. Роль требует сочетания академической экспертизы и навыков промышленной разработки.
Анализ зарплаты
Зарплата не указана, но для позиции Research Scientist с Ph.D. в Лондоне рыночные показатели значительно выше среднего. InstaDeep как элитный партнер NVIDIA обычно предлагает конкурентоспособные пакеты, соответствующие верхнему эшелону технологического сектора.
Сопроводительное письмо
I am writing to express my strong interest in the Research Scientist position at InstaDeep. With a Ph.D. in a field closely related to Machine Learning and a proven track record of publishing at top-tier conferences like NeurIPS and ICLR, I am eager to contribute to your research efforts in computational biology. My experience in developing scalable deep learning models using JAX and PyTorch, combined with a deep understanding of high-performance computing, aligns perfectly with your team's mission to push the boundaries of AI.
Throughout my academic and professional career, I have focused on bridging the gap between fundamental research and practical application. I am particularly drawn to InstaDeep's collaborative environment and your partnerships with industry giants like BioNTech and Google DeepMind. I am confident that my expertise in neural network optimization and my passion for solving complex scientific problems will allow me to make significant contributions to your Research department and help accelerate the development of cutting-edge AI products.
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Описание вакансии
\\\ This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job posts*
\\\ C'est ici que votre organisation peut créer une introduction cohérente à tous vos emplois, en créant une cohérence dans la voix et la messagerie dans tous les postes.*
Research Scientist in Science
Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London. We are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.
Are you a Research Scientist in Science? You will contribute to knowledge in different fields, and plan and conduct experiments to help expand the canon of the company's scientific knowledge.
If so then keep reading….
As a Research Scientist in Science, you’ll be a part of the Research department,
The Research Scientist in Science must accomplish the following:
- Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
- Engage and assist in the identification of research directions
- Contribute to the design and implementation of models, tools and libraries to accelerate our research effort.
- Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments
- Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing.
- Contribute to the team’s publication efforts.
- Bridge the gap between the research and product teams by integrating new fundamental research into applied projects.
Requirements:
- Ph.D. degree in Computer Science, Machine Learning or a related field.
- Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax.
- Experience in developing and debugging in Python3 or similar languages.
- Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators)
- Experience in planning and conducting research works
- A demonstrated ability to successfully deliver high-quality research, including publishing scientific papers (ICLR, NeurIPS, ICML, etc).
- Excellent communication skills and collaborative spirit.
Nice to haves
- 2-5 years experience
- Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions.
- Reinforcement Learning, Computer Vision, or Natural Language Processing experience.
Our Diversity, Equity, and Inclusion commitments
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this by other than by joining our team?
At present, we operate in a hybrid work model of two days mandatory a week in the office. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.
Right to work: Please note you will require the legal right to work in the location you are applying for.
If you have any further questions please do not hesitate to contact us at: talent@instadeep.com
\\\ Similar to the introduction that can precede all job descriptions, an outro can also be formatted for consistency on all posts*
\\\ Semblable à l'introduction qui peut précéder toutes les descriptions de poste, une outro peut également être formatée pour la cohérence sur tous les messages*
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Навыки
- Python
- PyTorch
- Machine Learning
- JAX
- Computer Vision
- Deep Learning
- TensorFlow
- Ray
- Natural Language Processing
- High Performance Computing
- Reinforcement Learning
- MPI
Возможные вопросы на собеседовании
Проверка опыта публикации в высокорейтинговых журналах и способности доводить исследования до конца.
Расскажите о вашей самой значимой публикации: какую проблему вы решали и каков был ваш личный вклад в методологию?
Вакансия требует навыков работы с суперкомпьютерными архитектурами и параллельными вычислениями.
Какие подходы вы используете для оптимизации и масштабирования обучения нейронных сетей на больших кластерах (например, с использованием Ray или MPI)?
Роль подразумевает работу на стыке ИИ и биологии.
Есть ли у вас опыт применения методов машинного обучения в вычислительной биологии или смежных научных дисциплинах?
Важно уметь превращать теоретические наработки в работающий продукт.
Как вы подходите к процессу интеграции фундаментальных исследований в прикладные проекты и продукты компании?
Проверка владения современным стеком инструментов, упомянутых в вакансии.
В чем, по вашему мнению, основные преимущества и недостатки использования JAX по сравнению с PyTorch для исследовательских задач?
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