Machine Learning Engineer (NLP)

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.