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careers

ML Engineer (NLP)

Who we're looking for

OpenMinds is seeking a highly skilled ML Engineer with expertise in designing and implementing machine learning models for semantic search, sentiment analysis, text clustering, and text summarisation tasks.

The ideal candidate should possess a strong background in machine learning, natural language processing, and deep learning techniques, along with proficiency in Python and experience with popular ML libraries/frameworks such as TensorFlow, PyTorch, or Keras.

In the position, you will:

— Design, develop, and implement machine learning models and algorithms for semantic search, sentiment analysis, text clustering, and text summarisation tasks;

— Train and fine-tune large language models 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 summarisation tasks;

— Utilise techniques such as graph-based ranking, attention mechanisms, and sequence-to-sequence models for text summarisation;

— Ensure scalability of ML models by leveraging cloud computing platforms like Google Cloud Platform (GCP).

We are a perfect match if you have:

— 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 Keras;

— 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;

— Solid understanding of contextual word embeddings and their applications in NLP tasks;

— Familiarity with data preprocessing techniques like tokenisation, stemming, lemmatisation, 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.

We offer:

— Work in a fast-growing startup with proprietary AI technologies, solving the most difficult problems in the domains of social behaviour analytics and national security;

— Modern A+ class office in Kyiv;

— Competitive market salary and equity incentive plan;

— Opportunity to present your work on tier 1 conferences, panels, and briefings behind closed doors;

— Work face-to-face with world-leading experts in their fields, who are our partners and friends;

— Flexible work arrangements, including adjustable hours, location, and remote/hybrid options;

— Unlimited vacation and leave policies;

— 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.

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