Machine Learning Engineer (NLP)

Прямой работодатель  Evolwe ( )
Аналитика, Data Science, Big Data • Data scientist • Инженер • Разработчик • Data Science • Machine Learning • Python • ML/AI • Natural Language Processing (NLP)
24 января
Удаленная работа
Опыт работы любой
Работодатель  Evolwe
Описание вакансии

Evolwe ​ - a startup creating empathic artificial intelligence technology, is expanding its team and is looking for an experienced Machine Learning Engineer (NLP).

We are creating a conversational AI platform for Web3 companies.

The company is constantly engaged in the research and development of advanced AI solutions.

🟨 Evolwe now

  • AI platform launched in July 2022;
  • A team of 15 people, 2 senior NLP engineers;
  • Own solution for emotions and psychological recognition;
  • The team and advisors include experts with a background in Google, Doordash, Alibaba, and Stanford.

Why it’s great to work with us:

  • Immersion in the field of data science and machine learning.
  • Collaboration with an experienced development team.
  • An innovative corporate culture focused on freedom and creativity.
  • The company is a combination of a software startup (mobile app) and a research team (psychologists, linguists, mathematicians and data scientists), we create disruptive technologies.
  • Salary is negotiable depending on your skills and experience.
  • Remote office.

📌 Responsibilities:

  • Experience with modern deep learning techniques in NLP including Transformers, BERT, GPT, etc.
  • Experience with text-based information retrieval technologies and semantic search.
  • Demonstrable proficiency in more than one applicable programming languages is a plus.

📌 Qualifications:

  • Solid fundamentals in mathematics, statistics, and machine learning theory.
  • Minimum 2 years of commercial experience (or equivalent) in natural language processing, understanding, or generation.
  • Demonstrable proficiency in at least one programming language such as Python, C/C++, Java, etc.
  • Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialogue systems.
  • Proficiency in machine learning tools such as PyTorch, TensorFlow, Keras, etc.
  • English fluency.
  • Excellent written and verbal communication skills.

📌 Nice to have:

  • Degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics.
  • Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, etc.

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