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Nlp Engineer Jobs in Michigan (NOW HIRING)

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

... NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering * Data Engineering : Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering * Cloud & Big Data Platforms ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

... NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering * Data Engineering : Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering * Cloud & Big Data Platforms ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

... NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering * Data Engineering : Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering * Cloud & Big Data Platforms ...

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Nlp Engineer information

See Michigan salary details

$31.8K

$93.5K

$119.8K

How much do nlp engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for nlp engineer in Michigan is $93,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $118,500.00 per year, depending on experience, location, and employer.

What does an NLP engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

What are typical projects or responsibilities for an NLP engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the NLP engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

How much do NLP engineers make?

NLP engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and natural language processing tools can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and data analysis. It is considered a growing field with strong demand due to the increasing use of AI and language-based applications in various industries.

What are popular job titles related to Nlp Engineer jobs in Michigan?

For Nlp Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Nlp Engineer jobs in Michigan look for?

The top searched job categories for Nlp Engineer jobs in Michigan are:

What cities in Michigan are hiring for Nlp Engineer jobs?

Cities in Michigan with the most Nlp Engineer job openings:

Nlp Engineer jobs near you
Infographic showing various Nlp Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $93,506 per year, or $45 per hour.

Intelligent Automation Developer

Auto Owners Insurance Company

Lansing, MI • On-site

Full-time

Retirement, PTO

Re-posted 6 days ago

Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.

Job Description

We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.

Please note that we are not currently hiring fully remote positions. All candidates must have the ability to work in one of our tech offices. Our tech office for this position is in Lansing, Michigan.

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated individual to join our IT Division as an Intelligent Automation Developer. Responsibilities include developing, maintaining, and supporting software applications for new and existing systems. The position requires the person to:

  • Define, develop, test, analyze, and maintain new and pre-existing software programs and applications.
  • Actively participate in code/design reviews and brainstorming sessions.
  • Develop program and system documentation.
  • Analyze and fix software errors in a timely and accurate fashion.
  • Consult with users, architects, project leaders, and management to resolve problems and suggest alternatives.

Desired Skills and Experience

  • Bachelor's degree in Computer Science, Information Systems, Information Technology, a related field, or equivalent experience is required.
  • Experience with any of these development technologies is a plus: RPA, Machine Learning, NLP, OCR/ICR, Data Analysis and Java.
  • Identify innovations in OCR, text analytics and NLP leveraging ML/AI and deep learning to help advance automation, knowledge discovery, decision-making and insights, and streamline business processes or enable new capabilities in document understanding and knowledge extraction from text and unstructured data.
  • The aptitude and desire for software development while demonstrating initiative.
  • Knowledge of Agile software development principles, process, and tools.
  • Must be able to learn and effectively use tools and software development techniques as practiced, acquired, or adopted within the IT Division.

Benefits

Auto-Owners offers a wide range of career opportunities, and we are seeking talent that will help us continue our long tradition of success. We offer a friendly work environment, structured training program, employee mentoring and an excellent compensation/benefits package. Along with a competitive base salary, matched 401(k), fully-funded pension plan (once vested), and bonus programs, Auto-Owners also provides generous paid time off including holidays, vacation days, personal time, and sick leave. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!

Equal Employment Opportunity

Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.

*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

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