1

Amazon Research Jobs in California (NOW HIRING)

Sr. Applied Scientist, Amazon Ads

San Francisco, CA · On-site

$107K - $147K/yr

Amazon Ads is re-imagining advertising through generative artificial intelligence (AI) technologies ... research and applied scientists, as well as engineering and product teams. This role combines ...

Sr. Applied Scientist, Amazon Ads

San Francisco, CA · On-site

$107K - $147K/yr

Amazon Ads is re-imagining advertising through generative artificial intelligence (AI) technologies ... research and applied scientists, as well as engineering and product teams. This role combines ...

Amazon Ads is re-imagining advertising through generative artificial intelligence (AI) technologies ... research and applied scientists, as well as engineering and product teams. This role combines ...

next page

Showing results 1-20

Amazon Research information

See California salary details

$36.5K

$104.6K

$140.6K

How much do amazon research jobs pay per year?

As of Aug 21, 2026, the average yearly pay for amazon research in California is $104,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $102,600.00 per year, depending on experience, location, and employer.

What is an Amazon Research?

An Amazon Research job involves analyzing data, market trends, and customer behavior to improve Amazon's products, services, or operations. Researchers may work in various domains such as machine learning, supply chain optimization, e-commerce trends, or consumer insights. Their work helps Amazon enhance efficiency, customer experience, and business strategies. The role typically requires strong analytical skills, experience with data analysis tools, and industry-specific expertise.

What are some common challenges faced in an Amazon Research role?

Professionals in Amazon Research often encounter challenges such as managing large datasets, staying updated with the latest market trends, and balancing competing project deadlines. It is common to work in a fast-paced environment where priorities can shift quickly, requiring adaptability and efficient time management. Collaboration with cross-functional teams—such as product managers, engineers, and marketers—is essential for translating research findings into actionable insights. Successfully navigating these challenges helps ensure the research contributes meaningfully to Amazon’s strategic goals.

What are the key skills and qualifications needed to thrive in Amazon Research, and why are they important?

To thrive in an Amazon Research role, you typically need strong analytical capabilities, proficiency in data analysis, and a background in fields such as market research or business analytics. Experience with research platforms, data visualization tools such as Tableau or Power BI, and knowledge of SQL or Python is often required. Strong communication, critical thinking, and attention to detail are standout soft skills for success in this position. These abilities enable effective gathering and interpretation of data, informing business decisions and driving impactful results.

What job categories do people searching Amazon Research jobs in California look for?

The top searched job categories for Amazon Research jobs in California are:

Infographic showing various Amazon Research job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $104,624 per year, or $50.3 per hour.

Machine Learning Research Scientist

GroupSolver

San Diego, CA • On-site, Remote

Part-time

Re-posted 29 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.
Employment Type: PART_TIME