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Amazon Nlp Jobs (NOW HIRING)

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Experienced in using Google, Amazon NLP APIs to parse data and analyse output * Experienced in using Amazon dockers to develop and deploy the solution * Proficient in JAVA & Python programming

Factspan Inc

Machine Learning Engineer

Seattle, WA

Experienced in using Google, Amazon NLP APIs to parse data and analyse output * Experienced in using Amazon dockers to develop and deploy the solution * Proficient in JAVA & Python programming

Amazon

Applied Scientist II, Amazon Search

Seattle, WA · On-site

Amazon Search is reinventing how customers find products through natural-language and semantic ... NLP) or related applications PREFERRED QUALIFICATIONS - Experience in machine learning, data mining ...

Amazon

Senior Applied Scientist , Amazon Ads

Seattle, WA · On-site

$104K - $142K/yr

At Amazon Ads, we're not just running ads. We're re-inventing the entire advertising experience ... Ranking, personalization, NLP, computer vision, LLMs - it's all on the table. Your ideas ship This ...

Amazon

Senior Applied Scientist , Amazon Ads

Seattle, WA · On-site

$104K - $142K/yr

At Amazon Ads, we're not just running ads. We're re-inventing the entire advertising experience ... Ranking, personalization, NLP, computer vision, LLMs - it's all on the table. Your ideas ship This ...

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How much do amazon nlp jobs pay per year?

As of Sep 4, 2026, the average yearly pay for amazon 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 an Amazon NLP specialist?

An Amazon NLP (Natural Language Processing) specialist is a professional who works with Amazon's AI and machine learning tools to analyze, understand, and process human language data. They develop and improve algorithms that allow machines to interpret text and speech, supporting features like Alexa voice recognition, product recommendations, and customer service chatbots. These specialists typically have expertise in linguistics, data science, and programming. Their work helps Amazon enhance user experiences by enabling more natural and accurate interactions between humans and technology.

What are the key skills and qualifications needed to thrive as an Amazon NLP specialist?

To thrive as an NLP Specialist at Amazon, you need a strong background in computer science, machine learning, and linguistics, often supported by advanced degrees and experience with NLP research. Proficiency with Python, deep learning frameworks (like PyTorch or TensorFlow), AWS services, and NLP libraries such as SpaCy or Hugging Face is typically required. Outstanding problem-solving abilities, collaboration, and communication skills help you translate complex language data into scalable solutions. These skills are essential for developing innovative language technologies that power Amazon's products and improve customer experiences.

How does an Amazon NLP specialist typically collaborate with other teams within the organization?

As an Amazon NLP specialist, collaboration with cross-functional teams such as software engineers, data scientists, product managers, and UX designers is a key part of the role. You will regularly participate in meetings to define project requirements, discuss data annotation strategies, and integrate NLP models into larger product pipelines. Effective communication is essential for aligning on business goals and ensuring that NLP solutions are scalable and meet user needs. Additionally, you'll often contribute to code reviews and share best practices to enhance the overall quality of deployed NLP systems.

Are Amazon NLP engineers in demand?

Amazon NLP engineers are in high demand due to the company's focus on natural language processing technologies for products like Alexa and customer service automation. Skills in machine learning, deep learning, and tools such as Python and TensorFlow enhance job prospects in this field. The demand for NLP expertise is expected to grow as companies increasingly rely on AI-driven language solutions.
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Amazon Nlp jobs near you
Infographic showing various Amazon Nlp job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Machine Learning Engineer

Factspan Inc

Seattle, WA • On-site

Full-time

Re-posted 5 days ago

Job description

Company Description
Factspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors.
Job Description
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
  • Conduct end-to-end analysis that includes data gathering from various data storage platforms and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi
  • Requires a diversified technical person who can setup environments on AWS and integrate different pieces of solution.
  • Develop data pipelines to integrate different data sources
  • Experienced in using Google, Amazon NLP APIs to parse data and analyse output
  • Experienced in using Amazon dockers to develop and deploy the solution
  • Proficient in JAVA & Python programming
  • Understanding of topic modelling, supervised & unsupervised machine learning
  • Plan the project milestones, resourcing and work distribution
  • Execute project in a timely manager, analyse risks and mitigate them
  • Able to lead a technical team of data scientist and engineers
  • Communicate the project progress, challenges, results and next action items to stake holders

Qualifications
  • 3-8 years of experience
  • Bachelor's/Master's Degree in Engineering, Statistics, Mathematics
  • Excellent hands-on working knowledge in R, Python, advanced predictive modelling, SQL, AWS

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply