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Senior NLP Engineer
hace 2 meses
Logically is a pioneering company that combines artificial intelligence with expert analysts to tackle harmful and manipulative content at speed and scale. Our mission is to reduce the individual, institutional, and societal damage caused by misleading and deceptive online discourse.
Our TeamWe are a team of exceptional data scientists working on machine learning-based capabilities in the space of disinformation and misinformation. We take ownership of individual ML capabilities, working collaboratively with the Product team and Technical Programme Manager.
Job DescriptionWe are seeking a highly skilled NLP Specialist to join our team. As an NLP Specialist, you will be crucial for the development and advancement of Logically's AI platform, which is the core technology behind our tools and products to identify and tackle harmful and manipulative content at speed and at scale.
Responsibilities- Research and Innovation: Stay up-to-date with the latest advancements in NLP and AI research, and actively contribute to the development of novel solutions and applications.
- Machine Learning Algorithms: Apply machine learning and deep learning algorithms to solve NLP-related problems, including text classification, language modeling, and information retrieval.
- NLP Model Development: Develop, implement, and fine-tune NLP models, including but not limited to clustering, sentiment analysis, named entity recognition, topic modeling, and text summarization.
- Collaboration: Work closely with cross-functional teams, including software developers, product managers, and domain experts, to integrate NLP solutions into our products and services.
- Mentorship: Mentor junior engineers regarding coding standards through code reviews and feedback sessions.
- Bachelor's or Master's degree in a numeric discipline (e.g., Statistics, Machine Learning, Computer Science, Engineering, Physics).
- Strong analytical and problem-solving skills.
- Good understanding of Data Structures (Hashmap, Graphs, Linked Lists).
- Fluent in English.
- Good understanding and work experience with ML techniques like PCA, Clustering, Anomaly detection, etc.
- Experience with delivering multiple ML models driven capabilities end-to-end.
- Good experience in core NLP and text analytics tasks and application areas (e.g. Social network analysis, text classification, topic detection, information extraction, Named Entity recognition, entity resolution, Question-Answering, multilingual NLP, sentiment analysis, event detection, language modeling).
- Scientific expertise and real-world experience in Deep Learning, especially with hands-on experience in hyper-parameter tuning and deep construction/distribution (e.g., architecture design of transformers and other deep learning networks, attention mechanisms, parameter initialization, activation, normalization, and optimization) ideally with Pytorch or Tensorflow.
- Working knowledge of productionising models and code: Git version control, unit tests.
- The ability to engage with business stakeholders (with excellent oral and written communication).
- Ability to work independently and deliver high-quality results.
- Experience with creating and working with APIs in any 1 (Django, Flask, FastAPI) or any steaming architecture.
- Experience and understanding in model serving (MLFlow, TFserving, Torchserving, ONNX).
- Unlimited Holidays
- Company Performance related Bonus
- Private Medical
- A remote-first working location policy
- Ability to work from anywhere in the world for up to 8 weeks of the year
- Pension
- £250 work from home package to improve your home working environment
- Mental Health Aid
- L&D Perks
- Social Budgets