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Remote Amazon Research Scientist Jobs (NOW HIRING)

MindSource

Research Scientist

Seattle, WA · Remote

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for designing and implementing robust processes ...

MindSource

Research Scientist

Seattle, WA · Remote

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for designing and implementing robust processes ...

JD Power

Research Scientist

$90K - $100K/yr

Remote - USA, Canada Reports to: Managing Director, Research Science Vacancy : New vacancy The Role: As a Scientist in Research Science, you will analyze and interpret the results of survey research ...

JD Power

Research Scientist

$90K - $100K/yr

Remote - USA, Canada Reports to: Managing Director, Research Science Vacancy : New vacancy The Role: As a Scientist in Research Science, you will analyze and interpret the results of survey research ...

YO AI Labs

Biology Research Scientist - Remote

Dallas, TX · Remote

$50 - $70/hr

Biology Research Scientist Job Type: Contractor Location: Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced ...

YO AI Labs

Biology Research Scientist - Remote

Boston, MA · Remote

$50 - $70/hr

Biology Research Scientist Job Type: Contractor Location: Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced ...

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Remote Amazon Research Scientist information

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$50.5K

$130.1K

$174K

How much do remote amazon research scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote amazon research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a Remote Amazon Research Scientist do?

A Remote Amazon Research Scientist conducts cutting-edge research to solve complex problems relevant to Amazon’s business, such as improving machine learning algorithms, natural language processing, or supply chain optimization. Working remotely, they design experiments, analyze large datasets, and collaborate with engineering teams to implement their findings. The role often involves publishing research, staying current with scientific advancements, and translating theoretical work into practical solutions that drive Amazon’s products and services.

What are some common challenges faced by a Remote Amazon Research Scientist, and how can they be addressed?

One common challenge for Remote Amazon Research Scientists is maintaining effective collaboration with cross-functional teams across different time zones. To address this, it’s essential to leverage communication tools like Slack and Amazon Chime, schedule regular virtual check-ins, and document research progress thoroughly. Another challenge is staying updated on evolving project priorities and technologies; participating in virtual workshops, engaging in Amazon’s internal knowledge-sharing forums, and setting aside time for personal learning can help overcome this. Building strong relationships with colleagues and proactively seeking feedback also contribute to success in a remote research environment.

What are the key skills and qualifications needed to thrive as a Remote Amazon Research Scientist, and why are they important?

To thrive as a Remote Amazon Research Scientist, you need a strong background in computer science, statistics, or a related field, often with a PhD or equivalent experience in machine learning, data science, or artificial intelligence. Mastery of programming languages such as Python or Java, familiarity with AWS cloud services, and experience with data analysis tools and machine learning frameworks are typically required. Exceptional problem-solving skills, effective remote communication, and a collaborative mindset help professionals excel in distributed teams. These skills are crucial for driving innovation, developing scalable solutions, and ensuring successful research outcomes in Amazon's fast-paced, data-driven environment.
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Remote Amazon Research Scientist jobs near you
Infographic showing various Remote Amazon Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Machine Learning Research Scientist (Remote)

San Diego, CA • Remote

GroupSolver
Marketing Research • 11 - 50 employees
Learn more about GroupSolverexternal

Full-time

Re-posted 6 days ago

Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon. 

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices. 

Basic Qualifications: 

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field. 
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis 
  • Algorithm and model development experience for large-scale applications 
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java 
  • Comfortable working with teams in different time zones, (USA, Europe) 
  • Good communication skills, ability to explain technical concepts to non-technical audiences. 

Preferred Qualifications: 

  • Strong understanding of Transformer architecture and Attention mechanisms. 
  • 2 years of experience in NLP 
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning 
  • Knows the difference between RNN, CNN, LSTM, GANs. 
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.