About the Company
Samsung is a global leader in technology, constantly innovating across diverse fields including consumer electronics, mobile communications, and advanced component solutions. Our commitment to cutting-edge research and development drives progress in AI, IoT, and next-generation technologies. We foster a culture of creativity and collaboration, empowering our engineers to solve complex challenges and shape the future of intelligent systems.
Job Description
We are seeking a highly skilled and motivated Natural Language Processing Engineer to join our innovative R&D team in Guildford. This role offers an exciting opportunity to contribute to the development of advanced AI-powered products and services that impact millions worldwide. The successful candidate will play a key role in designing, implementing, and deploying state-of-the-art NLP models, working on challenges ranging from semantic understanding to generative AI. Visa sponsorship is available for outstanding international candidates.
Key Responsibilities
- Design, develop, and evaluate advanced NLP models and algorithms for various applications, including text classification, named entity recognition, sentiment analysis, machine translation, and question answering.
- Implement robust and scalable NLP solutions using frameworks like PyTorch or TensorFlow.
- Conduct research and stay up-to-date with the latest advancements in NLP, machine learning, and AI.
- Collaborate with cross-functional teams, including ML engineers, data scientists, and product managers, to integrate NLP capabilities into new and existing products.
- Optimize NLP models for performance, accuracy, and efficiency on diverse hardware platforms.
- Prepare detailed documentation, reports, and presentations on research findings and system designs.
- Participate in code reviews, contribute to architectural discussions, and mentor junior engineers.
Required Skills
- Strong proficiency in Python and relevant NLP/ML libraries (e.g., NLTK, spaCy, Hugging Face Transformers, scikit-learn).
- Extensive experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Solid understanding of various NLP techniques, including tokenization, parsing, embeddings (Word2Vec, BERT, GPT), sequence-to-sequence models, and attention mechanisms.
- Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Experience with version control systems (e.g., Git).
- Excellent problem-solving skills and ability to conduct independent research.
- Fluent in English, both written and verbal communication.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
Preferred Qualifications
- Ph.D. in a relevant field.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Knowledge of distributed computing frameworks (e.g., Spark).
- Publications in top-tier NLP or AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Experience with large-scale data processing and big data technologies.
- Familiarity with agile development methodologies.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and dental insurance.
- Generous paid time off and public holidays.
- Pension scheme with company contributions.
- Relocation assistance and visa sponsorship for eligible international candidates.
- Opportunities for professional development, training, and conference attendance.
- Access to state-of-the-art research facilities and cutting-edge technologies.
- Employee discount programs on Samsung products.
- Vibrant and inclusive company culture with regular social events.
- Hybrid work model promoting work-life balance.
How to Apply
Interested candidates are invited to submit their application by clicking the "Apply Now" button below. To ensure your application is considered, please include the following:
- A current resume
- A cover letter outlining your suitability for the role and your motivation for applying.
We review applications on a rolling basis and will contact shortlisted candidates for an interview.
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