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Senior Natural Language Processing Engineer Jobs in Roxana, IL

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

Senior Data Engineer

Hazelwood, MO ยท On-site

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... natural language processing * 3+ years of experience in SQL or NoSQL Database Languages

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... natural language processing * 3+ years of experience in SQL or NoSQL Database Languages

Collaborate with subject matter experts to understand engineering domain knowledge and incorporate ... natural language processing * 3+ years of experience in SQL or NoSQL Database Languages

Collaborate with subject matter experts to understand engineering domain knowledge and incorporate ... natural language processing * 3+ years of experience in SQL or NoSQL Database Languages

Collaborate with subject matter experts to understand engineering domain knowledge and incorporate ... natural language processing * 3+ years of experience in SQL or NoSQL Database Languages

AI Engineer

O Fallon, IL ยท On-site

$82K - $172K/yr

... natural language processing (NLP) and computer vision Familiarity with DevOps practices and tools Experience with agile development methodologies 10+ years of experience in a lead Software ...

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Senior Natural Language Processing Engineer information

See Roxana, IL salary details

$71.9K

$116.1K

$163.5K

How much do senior natural language processing engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior natural language processing engineer in Roxana, IL is $116,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $129,000.00 per year, depending on experience, location, and employer.

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.

Infographic showing various Senior Natural Language Processing Engineer job openings in Roxana, IL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $116,147 per year, or $55.8 per hour.

Voice Recognition Engineer

3B Staffing LLC

Saint Louis, MO โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Title: Voice Recognition Engineer

*Local to MO

Description:

Skills for this job

  • design and implement speech-driven interfaces - work seamlessly across major browsers
  • alternative speech processing frameworks beyond Web Speech API (e.g., Kaldi, DeepSpeech)
  • extending Web Speech APIs and related technologies to deliver accurate, responsive, and user-friendly voice recognition experiences
  • improve speech recognition speed, accuracy, and noise resilience
  • speech recognition for noisy environments
  • multilingual voice recognition and configurable speech duration features
  • building accessible and inclusive voice-driven interfaces
  • Expertise natural language processing (NLP) or machine learning techniques for speech

We're seeking a Voice Recognition Engineer to design and implement speech-driven interfaces that work seamlessly across major browsers. This role focuses on tailoring and extending Web Speech APIs and related technologies to deliver accurate, responsive, and user-friendly voice recognition experiences. You'll help us unlock natural voice interaction for our products, ensuring accessibility, speed, and reliability across platforms. Will be contract only, starting out as 6 months could be longer,

The Voice Recognition Engineer will design and optimize browser-based speech interfaces, focusing on cross-browser compatibility and accuracy. They will collaborate with product teams to enhance accessibility and user experience, leveraging and extending Web Speech APIs to deliver reliable voice interactions across platforms.

2. Required Skills and Experience

  • Experience applying voice recognition technologies across multiple browsers (Chrome, Edge, Safari, Firefox, and others)
  • Proficiency in tailoring and customizing Web Speech API and related frameworks
  • Demonstrated ability to improve speech recognition speed, accuracy, and noise resilience
  • Strong understanding of cross-device compatibility for desktops, laptops, tablets, and smartphones
  • Collaborative experience working with product, design, and technical teams to integrate voice features
  • Proven track record in optimizing speech recognition for real-world, noisy environments
  • Ability to support multilingual voice recognition and configurable speech duration features

3. Desired Skills and Experience

  • Knowledge of alternative speech processing frameworks beyond Web Speech API (e.g., Kaldi, DeepSpeech)
  • Experience in building accessible and inclusive voice-driven interfaces
  • Familiarity with performance benchmarking and model refinement for voice recognition
  • Certifications or training in speech recognition, AI, or related fields
  • Domain expertise in natural language processing (NLP) or machine learning techniques for speech

4. Preferred Qualifications

  • Demonstrated adaptability to various collaboration environments and Agile workflows
  • Passion for innovation in voice interaction technologies
  • Strong problem-solving and troubleshooting skills in browser compatibility

5. Required Education

  • Bachelor's degree in Computer Science, Electrical Engineering, Human-Computer Interaction, or related field