Machine Learning Engineer (Reinforcement Learning)

Прямой работодатель  Evolwe ( evolwe.ai )
США
Миддл
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 (RL).

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:

  • Design and implementation of algorithms for virtual agents and Metaverse applications.
  • Development of RL-related components for NLP solutions.

📌 Qualifications:

  • Have a degree in Computer Science, Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics, Mathematics, or a related field.
  • Have 2+ year experience in ML engineering, defining research problems and identifying possible solutions.
  • Have recent experience in some combination of the following programming languages and tools: Python, PyTorch, TensorFlow, OpenAI Gym, C++, MATLAB.
  • Have excellent written and oral communication skills and fluency in English.
  • Have familiarity with the cloud servers environment (AWS).
  • Have at least basic knowledge in the field of conversational AI and NLP.

📌  Nice to have:

  • experience with NLP engineering
  • experience with robotics applications

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