Mid Level Applied AI Scientist Jobs
Mid level applied ai scientist jobs go to practitioners ready to own model development end to end, drive design decisions with limited oversight, and mentor junior teammates on applied research workflows. 67% of openings are remote or hybrid across Fintech, Science & Research, and Technology & Software, with employers like Figma, Amazon, and JPMorganChase hiring at this level now.
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As a scientist on this team, you will:
- understand in depth the technical and scientific issues related to RAI, including controllability, security, privacy, safety, veracity, robustness, fairness, explainability, transparency, and governance
- help define the strategies, priorities and metrics for RAI
- solve open problems in RAI to unblock traditional, generative and/or agentic AI use cases and solutions, publishing as appropriate
- help develop our team
- liase with internal and external stakeholders, including the academic community, on issues related to RAI
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
PREFERRED QUALIFICATIONS
- Experience prioritizing and delivering projects on time in a fast-moving environment
- Passion for responsibly building and operating complex AI/ML systems, with consideration for controllability, privacy, security, safety, veracity, robustness, fairness, explainability, transparency, and governance.
- Excellent verbal and written communication skills, with demonstrated ability to synthesize large amounts of complex data and communicate complex concepts effectively to internal and external stakeholders.
- Publication record on issues in responsible AI or related to responsible AI
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.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
As a scientist on this team, you will:
- understand in depth the technical and scientific issues related to RAI, including controllability, security, privacy, safety, veracity, robustness, fairness, explainability, transparency, and governance
- help define the strategies, priorities and metrics for RAI
- solve open problems in RAI to unblock traditional, generative and/or agentic AI use cases and solutions, publishing as appropriate
- help develop our team
- liase with internal and external stakeholders, including the academic community, on issues related to RAI
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
PREFERRED QUALIFICATIONS
- Experience prioritizing and delivering projects on time in a fast-moving environment
- Passion for responsibly building and operating complex AI/ML systems, with consideration for controllability, privacy, security, safety, veracity, robustness, fairness, explainability, transparency, and governance.
- Excellent verbal and written communication skills, with demonstrated ability to synthesize large amounts of complex data and communicate complex concepts effectively to internal and external stakeholders.
- Publication record on issues in responsible AI or related to responsible AI
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.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
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Mid Level Applied AI Scientist Jobs: Frequently Asked Questions
How do I get a mid level applied ai scientist job?
Position your existing work around ownership and impact, not just contribution. Highlight projects where you led the modeling approach, made architectural decisions, or improved a production system measurably. Tailor your resume to show depth in a specific domain, such as NLP, computer vision, or reinforcement learning, and be ready to discuss trade-offs you navigated without close supervision.
Which companies hire mid level applied ai scientists?
Companies hiring mid level applied ai scientists right now include Figma, Amazon, and JPMorganChase, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from both large technology firms building in-house AI capabilities and growth-stage companies scaling their first applied research teams.
Are there remote mid level applied ai scientist jobs?
Yes, remote and hybrid roles are common at this level. About 67% of mid level applied ai scientist openings are remote or hybrid as of November 2026, reflecting strong employer demand for experienced practitioners who can work independently and collaborate across distributed teams without close daily oversight.
How do I move up to a mid level applied ai scientist role?
Moving from entry level to mid level takes deliberate depth-building over your first few years. Focus on owning a project through its full lifecycle, from problem framing to deployed solution, and document the measurable outcomes. Develop a specialization, whether in a modeling domain or an application area, and seek out opportunities to mentor peers or lead small initiatives to demonstrate scope beyond individual contribution.
Which industries hire the most mid level applied ai scientists?
Mid Level applied ai scientist roles concentrate in Fintech, Science & Research, and Technology & Software, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in applied AI because they have both the data infrastructure and the product complexity that makes mid level practitioners, who can operate with autonomy, especially valuable.