Natural Language Processing Intern

Key Skills

Algorithms, C++, ChatGPT, Data science techniques, Effective communication skills, HuggingFace, Java Programming, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, Python Programming, PyTorch, spaCy, TensorFlow

Job Description

Conduct research on the latest advancements and techniques in Natural Language Processing (NLP), as well as assisting in the design, development, and implementation of NLP algorithms and models. The role involves collecting, preprocessing, and analyzing textual data for NLP tasks, collaborating closely with the team to evaluate and enhance existing NLP models and systems. Additionally, the candidate will have the opportunity to explore and experiment with various NLP frameworks, libraries, and tools. Active participation in team meetings and discussions to contribute ideas and insights is expected. Furthermore, the candidate will contribute to software development efforts by constructing deployable NLP systems and infrastructure.

Required Skills:

• Strong understanding of NLP concepts, algorithms, and techniques.
• Proficient in at least one major coding language (e.g., Python, Java, C++) and machine learning framework (e.g., PyTorch, TensorFlow).
• Familiarity with NLP libraries and frameworks such as NLTK, spaCy, HuggingFace.
• Solid understanding of traditional NLP techniques, such as semantic parsing, named entity recognition, part-of-speech tagging, syntactic parsing, and information extraction.
• Knowledge of the latest developments in Large Language Models (LLMs) like GPT-3, GPT-4, or similar models.
• Strong communication and teamwork abilities.
• Understanding of common challenges and limitations of existing NLP techniques and the ability to propose innovative solutions.
• Ability to optimize and develop lightweight LLMs for deployment in resource-constrained environments.
• Publications in top-tier research conferences and journals.

Required Education:

Currently pursuing a M.S. or Ph.D. in Computer Science, Data Science, Network Science, Applied Math, Statistics, EE or related fields.

Compensation:

The pay range for this position $35 - $50 per hour.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires for the position. Within the range, individual pay is determined by work location and additional factors, including job-related 

This position must meet Export Control compliance requirements, therefore a U.S. Person as defined by 22 C.F.R. § 120.15 is required. U.S. Person includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.

HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.