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Senior Natural Language Processing Engineer Jobs in Illinois

Senior Platform Developer

Chicago, IL · On-site +1

$130K - $150K/yr

  • Retirement

Job Summary The Senior Platform Developer designs, develops, and maintains the firm's SharePoint ... natural language processing and document automation. Data & API Integration: Integrate Power ...

Senior Staff Data Scientist

Westchester, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role The Senior Staff Engineer - Data Science will serve as a technical leader in ... Strong hands-on experience in Natural Language Processing (NLP) and computer vision applications

Senior Staff Data Scientist

Westchester, IL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role The Senior Staff Engineer - Data Science will serve as a technical leader in ... Strong hands-on experience in Natural Language Processing (NLP) and computer vision applications

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

AI Data Engineer Location: Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key ... Knowledge of AI-specific data workflows, including data preparation for natural language processing ...

UI Developer

Chicago, IL · On-site

$51.50 - $67/hr

Understanding of Natural Language Processing (NLP) concepts and prompt engineering is a plus. (nice to have) * Experience with frontend build tools like Webpack, Vite, or similar bundlers for ...

GenAI Architect

Chicago, IL · On-site

$65 - $85.50/hr

Architect end-to-end AI solutions that leverage machine learning, natural language processing, computer vision, and other AI technologies to solve complex business problems. * Work closely with ...

Showing results 41-60

Senior Natural Language Processing Engineer information

What does a senior natural language processing engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a senior natural language processing engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.

What are some common challenges faced by senior natural language processing engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Illinois?

The most popular types of Natural Language Processing Engineer jobs in Illinois are:

What are popular job titles related to Senior Natural Language Processing Engineer jobs in Illinois?

For Senior Natural Language Processing Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Senior Natural Language Processing Engineer jobs in Illinois look for?

The top searched job categories for Senior Natural Language Processing Engineer jobs in Illinois are:

What cities in Illinois are hiring for Senior Natural Language Processing Engineer jobs?

Cities in Illinois with the most Senior Natural Language Processing Engineer job openings:

Supply Chain Applied AI Engineering Intern

Motorola Solutions, Inc.

Chicago, IL • On-site

$18.50 - $25/hr

Full-time

Posted 11 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

19th of 157 rated electronics manufacturers


Job description

Company Overview
At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
The Supply Chain AI & Data team drives the strategic transformation of our operations in alignment with Vision 2030. We are building the next evolution of data on AI-moving beyond traditional analytics to architect an intelligent, autonomous supply chain ecosystem. As the strategic engine behind critical initiatives like Project Falcon, our mission is to fundamentally redefine how the business operates, turning complex logistical challenges into proactive, resilient, and forward-looking capabilities.
Job Description
About the Role
As a Supply Chain Applied AI Engineering Intern, you will embed directly with our engineering team to help build the future of intelligent supply chain operations. Tailored for students currently pursuing their Bachelor's degree, this internship offers hands-on experience developing practical AI applications. You will contribute to high-impact projects, specifically focusing on advancing our conversational AI interfaces and assisting in the development of autonomous AI agents. Under the mentorship of senior engineers, you will gain real-world experience turning operational challenges into AI-driven solutions.
Key Responsibilities
  • Conversational AI Development: Assist in building, testing, and refining Large Language Model (LLM) tools (such as chatbots and RAG systems) that allow supply chain teams to query complex data using natural language.
  • Agentic AI Support: Help prototype and experiment with AI agents designed to automate specific supply chain tasks and workflows.
  • Data Preparation: Use Python and SQL to extract, clean, and format operational data, ensuring our AI models and LLMs have access to high-quality information.
  • Collaborative Engineering: Participate in daily stand-ups, code reviews, and brainstorming sessions, learning modern software engineering and AI deployment best practices.
  • Project Presentation: End your internship by presenting your project outcomes and technical learnings to team leadership and key stakeholders.

Preferred Qualifications
  • Generative AI Exposure: Experience tinkering with LLM APIs (like OpenAI) or a basic understanding of prompt engineering.
  • Development Tools: Familiarity with code versioning (Git/GitHub) and working in IDEs like VS Code or Jupyter Notebooks.
  • Supply Chain Curiosity: An interest in understanding how global logistics, inventory, and operations function.
  • Programming Foundations: Proficient in Python through coursework or personal projects, with a basic understanding of data manipulation (e.g., Pandas, dictionaries, lists).
  • Database Basics: Foundational knowledge of SQL and how to query relational databases.
  • AI/ML Interest: A strong, demonstrated interest in artificial intelligence, machine learning, or Natural Language Processing (NLP) via academic coursework, hackathons, or personal portfolio projects.
  • Problem Solving: A proactive, curious mindset with a willingness to learn new frameworks quickly and tackle open-ended problems.
  • Rising Junior or Senior preferred

Basic Requirements
  • Education: Currently enrolled in a Bachelor's degree program in Computer Science, Data Science, Software Engineering, or a related technical field with a graduation date no late then Dec. 2030.

Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Intern
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

What Motorola Solutions employees say

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Benefits

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Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928