NLP Engineer with Visa Sponsorship

🏢 IBM📍 Stamford, CT, USA💼 Full-Time💻 Hybrid🏭 Information Technology & Services💰 120000-180000 per year

About the Company

IBM is a global technology and consulting company headquartered in Armonk, New York, with operations in over 170 countries. Renowned for its innovation in areas like artificial intelligence, cloud computing, and quantum computing, IBM continues to lead the industry in developing cutting-edge solutions for businesses worldwide. With a commitment to diversity and inclusion, IBM fosters an environment where employees can thrive and contribute to transformative projects that impact the future.

Job Description

IBM is seeking a highly skilled and motivated NLP Engineer to join our innovative AI research and development team in Stamford, Connecticut. This is a unique opportunity for talented individuals requiring visa sponsorship to contribute to groundbreaking projects at the forefront of natural language processing and artificial intelligence. You will be instrumental in designing, developing, and deploying advanced NLP models and systems that tackle complex real-world problems. Our team is dedicated to pushing the boundaries of AI, and we are looking for someone passionate about creating intelligent solutions that empower our clients and users.

Key Responsibilities

  • Design, develop, and implement state-of-the-art NLP models and algorithms for various applications, including information extraction, text classification, sentiment analysis, and machine translation.
  • Collaborate with data scientists, machine learning engineers, and domain experts to integrate NLP solutions into larger AI systems and products.
  • Conduct extensive research and experimentation with new NLP techniques, deep learning architectures, and pre-trained models (e.g., Transformers, BERT, GPT) to improve model performance and robustness.
  • Develop robust data pipelines for NLP tasks, including data collection, cleaning, annotation, and feature engineering.
  • Evaluate and benchmark NLP models, ensuring high accuracy, efficiency, and scalability.
  • Participate in code reviews, contribute to documentation, and maintain best practices for software development and MLOps.
  • Stay updated with the latest advancements in NLP, machine learning, and AI research.

Required Skills

  • Ph.D. or Master's degree in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.
  • 3+ years of professional experience in Natural Language Processing.
  • Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
  • Strong understanding of machine learning fundamentals and deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with various NLP tasks and techniques (e.g., text classification, named entity recognition, topic modeling, neural machine translation).
  • Familiarity with cloud platforms (e.g., IBM Cloud, AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

  • Experience with large-scale data processing and distributed computing frameworks (e.g., Spark).
  • Publications in top-tier NLP or AI conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML).
  • Experience deploying NLP models into production environments.
  • Knowledge of MLOps practices and tools.
  • Prior experience with conversational AI or chatbot development.

Perks & Benefits

  • Comprehensive health, dental, and vision insurance.
  • Competitive salary and performance-based bonuses.
  • 401(k) plan with company match.
  • Generous paid time off and holidays.
  • Visa sponsorship and relocation assistance.
  • Professional development opportunities and tuition reimbursement.
  • Access to cutting-edge AI research and technology.
  • Flexible hybrid work model.
  • Employee wellness programs.

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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