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Entry Level Natural Language Processing Engineer Jobs

... natural language processing systems and technologies. YOUR RESPONSIBILITIES As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the ...

Software Engineer, NLP

Cambridge, MA · On-site

$125.10K - $150.30K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a ... Bachelor's degree in a relevant subject area (e.g., computer science, electrical engineering ...

Lead projects requiring collaboration across engineering and product teams. Deliverables are ... Requirements: * 6+ of software industry experience in Data Science or Natural Language Processing ...

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...

Senior NLP Engineer

Boston, MA · On-site

$113.90K - $156.40K/yr

Senior Natural Language Processing (NLP) Engineer Would you like to contribute creatively to a large, meaningful mission? We are in the processing of transforming healthcare. In particular, we are ...

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Entry Level Natural Language Processing Engineer information

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$30K

$69.4K

$118K

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

As of Jun 4, 2026, the average yearly pay for entry level natural language processing engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Natural Language Processing Engineer jobs? The most popular types of Natural Language Processing Engineer jobs are:
Data Scientist

Full-time

Posted 12 days ago


Job description

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on!
Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.
YOUR RESPONSIBILITIES
As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.
JOB REQUIREMENTS
  • Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
  • Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
  • Training in deep learning approaches and natural language processing
  • Advanced proficiency with Python for data analysis
  • Must be fluent in either keras or tensorflow
  • Experience with large data sets (10 million+ rows)
  • Ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience working in an agile methodology

EDUCATION
Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills & Requirements Qualifications