Applied Scientist Jobs
Applied Scientist jobs are open across technology, e-commerce, healthcare, and financial services, from new-grad to principal and staff levels, with specializations in machine learning, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
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Showing 5 of 391+ Applied Scientist jobs
DESCRIPTION
Are you a PhD interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
Key job responsibilities
Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.
For more information on the Amazon Science community please visit https://www.amazon.science.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $142,800.00 - $193,200.00 USD annually
DESCRIPTION
Are you a PhD interested in machine learning, natural language processing, computer vision, automated reasoning, robotics, or quantum technologies? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
Key job responsibilities
Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.
For more information on the Amazon Science community please visit https://www.amazon.science.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $142,800.00 - $193,200.00 USD annually
See All 391+ Applied Scientist Jobs
Jump back to the full list of openings and apply to any applied scientist role that fits.
Find Applied Scientist JobsApplied Scientist Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Amazon181
- Amazon Web Services20
- TikTok19
- Apple18
- Thomson Reuters15
Top Industries Hiring
- Technology & Software93
- Consulting & Professional Services28
- Electronics & Hardware28
- Distribution & Wholesale25
- E-Commerce & Online Marketplaces15
What Employers Look For
The qualifications that appear most often in applied scientist jobs.
- Master's or PhD in computer science, statistics, machine learning, or a related quantitative field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Hands-on experience designing and deploying machine learning models in production environments
- Strong foundation in statistical modeling, experimentation design, and A/B testing methodology
- Experience working with large-scale distributed data systems using tools like Spark or SQL
- Ability to communicate model design decisions and trade-offs clearly to non-technical stakeholders
Tips for Your Applied Scientist Job Search
Show model impact with concrete metrics
Applied scientist resumes get cut when they describe experiments instead of outcomes. Reframe every project around what the model improved, reduced, or enabled in production, even if your contribution was one component of a larger pipeline.
Tailor your GitHub to the posting
Hiring teams for applied scientist roles read code, not just bullet points. Pin repositories that match the domain in the job description, whether that's recommendation systems, forecasting, or ranking, and keep README files detailed enough to stand alone.
Apply early to roles that fit
Migrate Mate lists applied scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by modeling stack not title
Job titles vary wildly across companies. Search by tools like PyTorch, SageMaker, or Spark to surface roles that match your actual work, then confirm the title and level in the job description before applying.
Prepare a research narrative for system design rounds
Applied scientist interviews often include a system design component alongside coding. Practice explaining how you scoped a modeling problem, chose an approach, and handled failure modes, not just how you tuned hyperparameters.
Negotiate scope alongside compensation
Applied scientist offers frequently include discretion over research direction or product ownership. When you reach the offer stage, ask specifically what percentage of time maps to applied research versus feature delivery so expectations are explicit before you start.
Applied Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most applied scientists?
The companies hiring the most applied scientists right now include Amazon, Amazon Web Services, and TikTok, with the largest share of openings in Washington, California, and New York, based on current listings on Migrate Mate as of June 2026. Demand is concentrated at technology platforms, e-commerce companies, and healthcare systems building internal ML capabilities.
How many applied scientist jobs are remote?
About 21% of applied scientist openings are fully remote or hybrid as of June 2026, making it one of the more flexible roles in the technology sector. Natural language processing and recommendation systems roles tend to skew most remote, while computer vision and robotics positions more often require on-site access to hardware or lab infrastructure.
How do you become an applied scientist?
Most applied scientists build a foundation through a graduate degree in machine learning, statistics, or computer science, followed by hands-on project work in a specific domain. Publish or contribute to open-source work that demonstrates you can take a model from research to production. Internships or research roles at technology companies help bridge academic experience with applied engineering expectations hiring managers look for.
Can you get an applied scientist job with little experience?
Entry-level applied scientist roles exist, but they typically expect a strong graduate-level research background even without industry experience. Demonstrating a complete project, from problem framing through deployed model, carries more weight than coursework alone. Focus on domains where your academic research overlaps with commercial applications, such as search, fraud detection, or demand forecasting, and apply to roles explicitly labeled as new-grad or university hire.
What does the applied scientist interview process look like?
Applied scientist interviews typically include a phone screen covering machine learning fundamentals, a coding round focused on data manipulation and algorithm implementation, and a technical presentation where you walk through a past project in depth. Later rounds often include a system design session focused on ML architecture and a cross-functional interview assessing how you collaborate with engineers and product managers to ship models.
Where can I find and apply to applied scientist jobs?
You can find and apply to applied scientist jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your specialization and experience level, then apply directly to each listing that fits.
See All 391+ Applied Scientist Jobs
Jump back to the full list of openings and apply to any applied scientist role that fits.
Find Applied Scientist Jobs