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Full Time Amazon Research Scientist Jobs (NOW HIRING)

DatologyAI

Research Scientist

Redwood City, CA · On-site

$180K - $300K/yr

Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and ... About the Role We're looking for a Research Scientist to investigate how intervening on training ...

Anduril Industries

Research Scientist

Huntsville, AL · On-site

$165K - $218K/yr

ABOUT THE TEAM Anduril's Research Scientists excel at developing state-of-the art algorithms and ... Highly competitive equity grants are included in the majority of full time offers; and are ...

Anduril Industries

Research Scientist

Broomfield, CO · On-site

$126K - $167K/yr

ABOUT THE TEAM Anduril's Research Scientists excel at developing state-of-the art algorithms and ... Highly competitive equity grants are included in the majority of full time offers; and are ...

Anduril Industries

Research Scientist

Fort Collins, CO · On-site

$165K - $218K/yr

ABOUT THE TEAM Anduril's Research Scientists excel at developing state-of-the art algorithms and ... Highly competitive equity grants are included in the majority of full time offers; and are ...

State of South Carolina

Research Scientist

Columbia, SC

$76K - $96K/yr

Job Responsibilities Research Scientist Department: CAS Biological Sciences Advertised Salary Range ... Part/Full Time: Full Time About UofSC From the Upstate to the Lowcountry, the University of South ...

Redfish Recruiting

Research Scientist

Menlo Park, CA · On-site

Research Scientist We are seeking a dedicated Research Scientist to join our team. In this role ... This is a full-time position. While the salary is based on a standard work week, our startup ...

State of South Carolina

Research Scientist

Columbia, SC · On-site

FTE - Full-Time Job Number: 7288728 Agency: University of South Carolina Opening Date: 07/06/2026 ... Job Responsibilities Research Scientist Department: CAS Biological Sciences Advertised Salary Range:

Anysphere, Inc

Research Scientist

New York, NY · On-site

Engineering • Full-time • San Francisco; New York Apply Our mission is to automate coding. The ... Research Scientist Cursor is building the future of coding. We train frontier coding agents and ...

3M HEALTHCARE

Research Scientist

Boston, MA · On-site

Dormont Manufacturing Co is looking for a Senior Research Scientist, specializing in Machine ... This full-time role involves designing and optimizing ML algorithms across various applications ...

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All JobsAmazon Research Scientist JobsFull Time Amazon Research Scientist Jobs

Full Time Amazon Research Scientist information

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$130.1K

$174K

How much do full time amazon research scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time 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 is the difference between Full Time Amazon Research Scientist vs Full Time Amazon Data Scientist?

AspectFull Time Amazon Research ScientistFull Time Amazon Data Scientist
Required CredentialsAdvanced degree in CS, ML, or related fields; research experienceDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, experimental projects, innovation focusData analysis, modeling, business insights
Employer & Industry UsagePrimarily R&D teams at Amazon, academic collaborationsBusiness units, product teams, analytics departments

Full Time Amazon Research Scientists focus on innovative research and developing new algorithms, often working in labs or research settings. In contrast, Amazon Data Scientists analyze data to inform business decisions and optimize operations. Both roles require strong technical skills, but their core objectives and work environments differ.

More about Full Time Amazon Research Scientist jobs
What cities are hiring for Full Time Amazon Research Scientist jobs? Cities with the most Full Time Amazon Research Scientist job openings:
What are the most commonly searched types of Amazon Research Scientist jobs? The most popular types of Amazon Research Scientist jobs are:
What states have the most Full Time Amazon Research Scientist jobs? States with the most job openings for Full Time Amazon Research Scientist jobs include:
What job categories do people searching Full Time Amazon Research Scientist jobs look for? The top searched job categories for Full Time Amazon Research Scientist jobs are:
Full Time Amazon Research Scientist jobs near you
Infographic showing various Full Time Amazon Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist

DatologyAI

Redwood City, CA • On-site

$180K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

About the Company
Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.
At DatologyAI, we've built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling (BeyondWeb) and pretraining with domain-specific data (The Finetuner's Fallacy).
We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.
This role is based in Redwood City, CA. We are in office 4 days a week.
About the Role
We're looking for a Research Scientist to investigate how intervening on training data can improve the quality and shape the behavior of deep learning models. You'll source and implement ideas from the literature, conduct research grounded in real customer needs, and collaborate closely with engineers and product teams to turn findings into tangible impact. This role requires strong scientific judgment, fluency with the deep learning literature, and the drive to work autonomously in a fast-moving startup environment.
What You'll Work On
  • The research literature is vast, rife with ambiguity, and constantly evolving. You'll source, vet, implement, and improve promising ideas from the literature and your own thinking.
  • Our research is guided by concrete customer needs and product outcomes, not conference benchmarks. You'll have clear context on why your work matters and who it serves.

How You'll Work
  • We believe researchers do their best work with autonomy. You'll have the freedom to pursue problems in the way that works best for you, with the resources and context to back it up.
  • We expect Research Scientists to collaborate closely with engineers, talk to customers, and shape the product vision.

About You
  • 3+ years of deep learning research experience
  • Strong fundamentals in deep learning
  • Practical experience and/or publications in one or more of the following areas:
    • Data pruning and curation
    • Curriculum learning
    • Synthetic data generation
    • Dataset distillation
    • Effects of training data on model behavior
    • Embedding models and semantic search
    • Training large vision (including video), language, or multimodal models
    • Efficient ML
  • Enough software engineering and PyTorch experience (or willingness to learn) to run large-scale experiments and build production prototypes
  • A demonstrated track record in deep learning research, whether through papers, tools, or other artifacts

Nice to have:
  • Experience with distributed data processing tools like Spark or Snowflake
  • Experience building and shipping ML products

Candidates do not need a PhD or extensive publications. Some of the best researchers we've worked with have no formal training in machine learning, and obtained all of their experience working in industry and building products. We believe adaptability, combined with exceptional communication and collaboration skills, are the most important ingredients for successful research in a startup environment.
Compensation
At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $180,000 to $300,000.
  • Starting pay is based on job-related skills, experience, qualifications, and interview performance.

Our benefits are built to support your well-being and growth:
  • 100% covered health benefits (medical, vision, and dental).
  • 401(k) plan with a generous 4% company match.
  • Unlimited PTO policy
  • Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.
  • Annual $2,000 wellness stipend.
  • Annual $1,000 learning and development stipend.
  • Daily lunches and snacks are provided in our office!
  • Relocation assistance for employees moving to the Bay Area.

Apply