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Machine Learning Nlp Jobs (NOW HIRING)

Black Rock Group

Machine Learning Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Phoenix, AZ (Onsite) Required Skills Machine Learning, Python, SQL, APIs, NLP, NoSQL, Spark / PySpark, CI/CD We are looking for a strong Machine Learning Engineer with hands-on experience in ...

Avoma Inc

ML Engineer - NLP

Palo Alto, CA

$120K - $140K/yr

At least 2+ years of experience with Machine Learning & NLP in a production environment * Experience developing and debugging in Python * Experience working with GPT, Claude, Gemini, or other similar ...

Avoma Inc

ML Engineer - NLP

Palo Alto, CA · On-site

$120K - $140K/yr

At least 2+ years of experience with Machine Learning & NLP in a production environment * Experience developing and debugging in Python * Experience working with GPT, Claude, Gemini, or other similar ...

k1x

Machine Learning Engineer

Manhattan, NY · Remote

The ideal candidate will have a strong background in natural language processing (NLP) and ... As a Machine Learning Engineer, you will play a critical role in developing and implementing ...

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How much do machine learning nlp jobs pay per year?

As of Jun 3, 2026, the average yearly pay for machine learning nlp in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning NLP job?

A Machine Learning NLP job involves developing algorithms and models that enable machines to understand, process, and generate human language. Professionals in this role work with large datasets, train models on text data, and fine-tune natural language processing techniques such as sentiment analysis, text classification, and language translation. They often use machine learning frameworks like TensorFlow, PyTorch, and NLP libraries such as spaCy or Hugging Face Transformers. The goal is to build intelligent applications, including chatbots, search engines, and automated content analysis systems.

What are the key skills and qualifications needed to thrive in the Machine Learning Nlp position, and why are they important?

To thrive as a Machine Learning NLP professional, you need a strong background in machine learning, natural language processing, data analysis, and proficiency in programming languages such as Python, typically supported by a relevant degree in computer science or related field. Familiarity with NLP libraries (like spaCy, NLTK, or Hugging Face), machine learning frameworks (such as TensorFlow or PyTorch), and experience with cloud platforms are highly valued, and certifications can enhance your profile. Strong problem-solving skills, effective communication abilities, and adaptability are important soft skills in this role. These competencies enable you to build sophisticated language models and efficiently collaborate on cross-functional projects in a rapidly evolving technical landscape.

What are the typical daily responsibilities of a Machine Learning NLP specialist?

As a Machine Learning NLP specialist, your daily responsibilities often include designing and implementing NLP models, cleaning and preprocessing large text datasets, and experimenting with algorithms to improve model performance. You may also evaluate model results, collaborate with software engineers and data scientists, and stay updated on the latest research in the field. Frequent code reviews, participation in team meetings, and contributing to documentation are also common. This role combines hands-on technical work with collaborative problem-solving to develop language-based AI solutions for real-world applications.
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Machine Learning Nlp jobs near you

Machine Learning / NLP Research Scientist

Tech Stars Group LLC

Atlanta, GA • Remote

Full-time

Posted 10 days ago

Job description

Machine Learning / NLP Research ScientistAbout the job Machine Learning / NLP Research ScientistMachine Learning / NLP Research Scientist - (REMOTE)(multiple opportunities at various levels)Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized. We are in search of research scientists who are proficient in machine learning and natural language processing to join our innovative team. The ideal candidate will possess a deep understanding of foundation models, a keen interest in healthcare applications, and the ability to think critically and solve complex problems.

Our work is deeply rooted in research, with every member of our team contributing to the development of real-world applications that significantly benefit healthcare professionals.What You'll DoPush the boundaries of medical NLP research, focusing on conversation summarization, evidence extraction, outcome prediction, and developing new evaluation techniques and experimental approaches.Engage with the broader research community by disseminating original research findings and insights.Tackle significant challenges, set benchmarks, innovate state-of-the-art methodologies, and integrate them into practical applications.Utilize feedback from healthcare professionals to drive continuous improvement and innovation in our solutions.Approach ambiguous challenges and uncertain results with a results-driven mindset.What You'll BringA solid research foundation, evidenced by publications and an advanced degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or a related field.Contributions to leading AI conferences (CL, NeurIPS, ICML, ICLR) through high-impact publications.Demonstrated real-world impact via open source contributions and the deployment of technologies.Proficient programming skills and experience in developing, prototyping, and implementing machine learning solutions in a production environment.Familiarity with deep learning frameworks (PyTorch, Jax, TensorFlow), experience with multi-GPU training, and a strong capability in statistical analysis of both observational and experimental data.J-18808-Ljbffr

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