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Machine Learning Natural Language Processing Jobs

Spgi

Senior Machine Learning Engineer

Union City, IN · On-site +1

$95.20K - $130.70K/yr

With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S ... natural language processing, and more. At Kensho, we hire talented people and give them the ...

Apple

Sr Software Engineer, Proactive

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

As part of this group, you'll work with our machine learning, natural language processing, and infrastructure teams; optimize your work to run efficiently across Apple's range of products; and build ...

S&P Global

Senior Machine Learning Engineer

Union City, IN · On-site +1

$95.20K - $130.70K/yr

With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S ... natural language processing, and more. At Kensho, we hire talented people and give them the ...

Closure Technologies

Data Scientist

Chantilly, VA

Experience in working with artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms * Ability to develop persistent monitoring applications for ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

Machine learning, deep learning, natural language processing, computer vision, big data mining and information retrieval - it's all part of the job. The Bing multimedia Relevance Team is looking for ...

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How much do machine learning natural language processing jobs pay per hour?

As of May 31, 2026, the average hourly pay for machine learning natural language processing in the United States is $19.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $21.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Natural Language Processing specialist, and why are they important?

A Machine Learning Natural Language Processing (NLP) specialist needs strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and advanced knowledge in linguistics or computational linguistics, often supported by a relevant degree. Familiarity with NLP libraries (like NLTK, spaCy, or Hugging Face Transformers), experience with machine learning frameworks (such as TensorFlow or PyTorch), and sometimes certifications in data science or AI are typically required. Excellent problem-solving ability, collaboration, and effective communication are crucial soft skills to excel in this field. These skills enable the development of robust NLP models, smooth integration into real-world applications, and effective teamwork on complex projects.

How do professionals in Machine Learning Natural Language Processing typically collaborate with cross-functional teams?

In Machine Learning Natural Language Processing (NLP) roles, collaboration with cross-functional teams is essential. NLP professionals frequently work alongside data engineers to gather and preprocess large datasets, software developers to integrate models into products, and product managers to align technical solutions with business goals. Regular communication, agile methodologies, and collaborative problem-solving sessions are common to ensure that NLP models are both technically sound and user-oriented. This teamwork not only enhances the effectiveness of NLP solutions but also provides opportunities to learn from colleagues with diverse expertise.

What is a Machine Learning Natural Language Processing (NLP) specialist?

A Machine Learning Natural Language Processing (NLP) specialist is a professional who designs, develops, and implements algorithms and models that allow computers to understand, interpret, and generate human language. They use machine learning techniques to work on tasks such as text classification, sentiment analysis, language translation, and speech recognition. NLP specialists often work with large datasets and require strong skills in programming, linguistics, and data science. Their work enables applications like chatbots, virtual assistants, and search engines to better process human language.
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Machine Learning Natural Language Processing jobs near you
Infographic showing various Machine Learning Natural Language Processing job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 90% Full Time, and 9% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $41,370 per year, or $19.9 per hour.

Senior Machine Learning Engineer - Personalization, Horizon

Spotify

Remote

$125.40K - $165.30K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Spotify is a leading music and podcast streaming service, and they are seeking a Senior Machine Learning Engineer to join their Personalization team. This role involves designing and implementing machine learning features that enhance user experience and engagement through personalized recommendations and innovative audio interactions.
Responsibilities:
• Design, build, evaluate, and ship agentic based features and interactive experiences to bring our products to the next level
• Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
• Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
• Promote and role-model best practices of ML systems development, testing, evaluation both inside the team as well as throughout the organization
• Actively contributed to a strong community of machine learning practitioners at Spotify
Qualifications:
Required:
• Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
• Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus
• Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning
• Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
• Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS
Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.

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