ML Engineer (NLP)

Огляд

Open Minds Institute (OMI) is a think & do tank fighting authoritarianism, propaganda, and measuring the effectiveness of counter-influence communication campaigns. The organization is committed to fostering an environment of critical thinking and open-mindedness, to counter the spread of misleading narratives that escalate hatred and conflicts. OMI works closely with the think tanks and government units of Ukraine, EU, USA, UK, and other NATO members. Their research insights and counter-influence communication activities were mentioned by such media as New York Times, The Guardian, and The Atlantic.

Обов'язки

• design, develop, and implement machine learning models and algorithms for semantic search, sentiment analysis, text clustering, and text summarization tasks
• train and fine-tune large language models for Slavic languages using transformer architectures like GPT, BERT, or RoBERTa
• extract and process social media data as a source for training and evaluating NLP models
• build and deploy semantic search systems, sentiment analysis models, text clustering algorithms, and text summarization tasks
• utilize techniques such as graph-based ranking, attention mechanisms, and sequence-to-sequence models for text summarization
• ensure scalability of ML models by leveraging cloud computing platforms like Google Cloud Platform (GCP)

Вимоги

• a strong background in machine learning, natural language processing, and deep learning techniques
• proficiency in programming languages such as Python and experience with ML libraries/frameworks like TensorFlow, PyTorch, or Keras8
• in-depth knowledge of large language models, including transformer architectures like GPT, BERT, or RoBERTa
• familiarity with state-of-the-art NLP libraries and frameworks, such as Hugging Face
• experience in training and fine-tuning language models for Slavic languages
• solid understanding of contextual word embeddings and their applications in NLP tasks
• familiarity with data preprocessing techniques like tokenization, stemming, lemmatization, and named entity recognition
• strong understanding of statistical and mathematical concepts related to machine learning
• proficient in leveraging cloud computing platforms like GCP for ML model development and deployment

Умови

• modern A+ class office in Kyiv
• flexible work arrangements (hours, location, remote/hybrid options)
• competitive market salary
• regular collaborations with esteemed institutions such as Tier 1 universities & think tanks, foreign governments, NATO, and the European Commission
• opportunities for professional development within a multidisciplinary team, boasting experience from academia, tech, and intelligence sectors
• a work culture that values resourcefulness, proactivity, and independence, with a firm stance against micromanagement