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Amazon Research Scientist Jobs (NOW HIRING)

AI Research Scientist

San Francisco, CA · On-site

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ... About the Role We're looking for an AI Research Scientist to push the boundaries of how advanced AI ...

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ... About the Role We're looking for an AI Research Scientist to push the boundaries of how advanced AI ...

... buying with options ranging from Amazon Fresh & Sun Basket to GrubHub & Compass Cafes ... We are looking for an outstanding Clinical Research Scientist with strong human subjects research ...

AMAZON.COM SERVICES LLC Offered Position: Applied Scientist II Job Location: New York, New York Job ... Research and implement novel ML and statistical approaches to add value to the business. Mentor ...

Amazon Business Data Insights and Analytics team is looking for a Data Scientist to lead the ... You will be responsible for researching, experimenting and analyzing predictive and optimization ...

We focus on high quality research science informed by practical problems. BASIC QUALIFICATIONS - 3+ ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

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Amazon Research Scientist information

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$50.5K

$130.1K

$174K

How much do amazon research scientist jobs pay per year?

As of Jun 17, 2026, the average yearly pay for 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 research scientist do at Amazon?

A research scientist at Amazon conducts advanced research to develop new algorithms, models, and technologies that improve products and services. They often work with large datasets, utilize machine learning and AI tools, and collaborate with cross-functional teams to implement innovative solutions.

What does a typical day look like for an Amazon Research Scientist?

A typical day for an Amazon Research Scientist involves designing and running experiments, analyzing large datasets, developing and deploying machine learning models, and collaborating with product and engineering teams. You’ll spend part of your day reading the latest research and brainstorming innovative solutions to complex problems faced by Amazon’s business units. Regular meetings with cross-functional teams are common, where you’ll discuss project progress and share insights. This dynamic environment allows you to see the real-world impact of your research and gives you opportunities to continuously expand your technical and collaborative skills.

What is an Amazon Research Scientist job?

An Amazon Research Scientist is responsible for conducting cutting-edge research to develop innovative solutions in areas such as machine learning, artificial intelligence, operations research, and data science. They apply advanced statistical and analytical techniques to solve complex business problems, improve algorithms, and enhance customer experiences. Research Scientists at Amazon collaborate with engineering, product, and business teams to deploy research-driven insights into real-world applications. Their work influences decision-making, optimizes processes, and drives advancements in technologies used across Amazon's services and products.

What is the salary of research scientist 2 in Amazon?

The salary of a Research Scientist II at Amazon typically ranges from $120,000 to $160,000 per year, depending on experience, location, and performance. Compensation may also include bonuses, stock options, and benefits, reflecting Amazon's competitive pay structure for research roles in AI and machine learning.

What is the highest paid research scientist?

The highest paid research scientists are often those working in specialized fields such as pharmaceuticals, biotechnology, or technology, with senior roles like principal scientists or research directors earning salaries exceeding $150,000 annually. Compensation varies based on industry, experience, location, and advanced degrees, with some top-tier professionals earning significantly more through bonuses and stock options.

How much does a research scientist make at Amazon?

Research scientists at Amazon typically earn between $100,000 and $160,000 annually, depending on experience, education, and location. Compensation may also include bonuses, stock options, and benefits, with senior roles earning higher salaries.

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

To thrive as an Amazon Research Scientist, you need a deep foundation in quantitative fields such as machine learning, computer science, statistics, or related disciplines, typically demonstrated by a PhD or extensive research experience. Proficiency in programming languages (such as Python, Java, or Scala), experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools are often expected. Strong analytical thinking, creativity, and the ability to collaborate across multidisciplinary teams are valuable soft skills in this role. These skills are crucial for driving innovative solutions, leveraging Amazon’s vast datasets, and making impactful business decisions.

More about Amazon Research Scientist jobs
What cities are hiring for Amazon Research Scientist jobs? Cities with the most 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 Amazon Research Scientist jobs? States with the most job openings for Amazon Research Scientist jobs include:
Infographic showing various Amazon Research Scientist job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

AI Research Scientist

Collate

San Francisco, CA • On-site

$150K - $350K/yr

Full-time

Posted 5 days ago


Job description

About Collate
Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development-from concept to market.
Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders.
We're an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale.
About the Role
We're looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You'll explore new modeling approaches, design novel architectures, and prototype capabilities that don't exist yet - always with an eye toward how they can be translated into safe, reliable, and impactful products.
This is not a pure research role. At Collate, research is directly tied to deployment. You'll work side by side with engineers, product, and Life science experts to ensure that breakthroughs in the lab become real solutions in the world.
What You'll Do
  • What You'll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning.
  • Prototype and validate AI capabilities that expand Collate's product roadmap.
  • Collaborate with engineering, product, and design to bring research into production.
  • Develop evaluation frameworks to measure safety, reliability, and fairness.
  • Share findings with the broader AI community through publications and open collaboration.
  • Help shape the long-term research agenda at Collate.

What We're Looking For
  • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience.
  • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science.
  • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation.
  • Experience in translation is an added bonus
  • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow).
  • Ability to bridge theory and practice - from new research ideas to real-world deployments.
  • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities.
  • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.
  • Excitement to work in an early-stage environment where you help define not just the research, but the product and company direction.

Why Join Collate?
Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes.
Ownership: Shape both our product experience and our engineering culture from the start.
Learning: Collaborate with a uniquely interdisciplinary team-AI researchers, healthcare leaders, and experienced startup builders.
Upside: Join a company early enough to have meaningful equity and career-defining impact.
The base salary range for this role is $150,000-$350,000 USD annually, depending on experience and level (Tier 1, San Francisco)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.