Research Scientist (Научный сотрудник)
Вакансия № 27389078 в населенном пункте (городе) Москва, Россия от компании "Пану Ольга Германовна" на сайте Электронный Центр Занятости Населения (ЦЗН) Москвы.
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Обязательное требование к опыту работы искомого сотрудника: 3–6 лет.
График работы: удаленная работа.
Тип занятости: полная занятость.
Вакансия № 27389078 добавлена в базу данных: Пятница, 5 сентября 2025 года.
Дата обновления этого объявления: Суббота, 27 сентября 2025 года.
| Рейтинг вакансии: 16,92 из 100 баллов |
Работодатель может предложить примерно следующую оплату труда: от 3500 USD на вакантной должности "Research Scientist (Научный сотрудник)".
The company develops a system capable of semantic processing of programming code, e.g., code analysis, transformation, and synthesis, as well as operating a computational environment. The approach combines explicit knowledge representation in discrete structures with ML-assisted algorithms to manipulate those structures. The system we design should be able to follow the reasoning trajectory and examine the internal logic; identify a lack of information and interact with external sources; incorporate new knowledge at later stages equally inexpensive as at the initial ones.
What we need help with
1. Ideas. Share and present your own ideas on the agenda. Help others with their ideas by structuring and challenging them.
2. Agenda. Push the research agenda forward. Explore new directions and new points of view on known problems.
3. Investigate. Learn and survey state of the art techniques and theoretical frameworks in AI-related fields.
4. Knowledge Management. Structure the information and keep records of the various ideas.
5. Formalisation. Make scientifically rigorous and grounded statements from vague concepts and thoughts.
Who we are looking for
1. Experience in at least one of these areas: Discrete Knowledge Representation, Statistical Learning Theory, Formal Systems, Formal Logic, Natural Language Processing, Entity Detection and Resolution, Subgraph Matching, Dialogue Systems, Knowledge Extraction, Ontology Building, Automated Reasoning, Category Theory.
2. PhD in Applied Math or Computer Science.
3. English C1 or higher.
A strong advantage would be
1. Agile Experience. We use a management approach that is close to Agile. Among others, we use guided continuous improvement, task prioritisation, sprints, value delivery, and focus on commitment.
2. The ability to hold thought-leading presentations will help colleagues to understand new concepts and plan their further work.
3. Understanding how to lead the research group.
4. Infrastructure Tools like Notion, Slack, Zotero, Shortcut, Miro.
Not just an ML
People tend to think that AI is solely Machine Learning, like ChatGPT (or DALL-E 2, or Microsoft Bing, or ChatSonic). We are building our solution on an alternative architecture which incorporates ML as a part.
Going beyond
We put much effort into profound research and development of new underlying technologies rather than reusing existing ones. We like to explore unfairly neglected and non-conventional approaches to AI.
Safety and Alignment
We want to be responsible in our research and development. We don't turn our noses up at AI safety research and take the issue of alignment seriously.
Good Salary
That is, of course, a very basic condition. We want our colleagues to be healthy, happy and recreated.
Hybrid Remote
Our team members work from both the office and homes all around the world. We are OK with that. However, we like to gather sometimes at the office to get on the same page.
Flexible Schedule
Outside scheduled team meetings, teammates are free to work on their tasks independently. When to work is a personal choice. Just do not overwork – that is inefficient.
Low Bureaucracy
What we value most are performance and results, not a strict process following. However, metrics, processes, and documentation are important too. We just keep their priorities low.
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