Sr. Applied Scientist, Trust CX Innovations&AI Policy
Worldwide
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AI Compliance Specialist, Amazon Customer Service
Worldwide
$82.7k - $129.8k
Amazon
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Open Positions at Amazon
2
Full Time
$120,000 - $180,000*
4 months ago
Worldwide
Job Description
Alexa+ is Amazon’s next-generation, AI-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa+.
A Senior Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies. We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases.
You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.
Key job responsibilities
• Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities
• Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning
• Pioneer new methods for AI safety, alignment, and responsible AI development
• Design and execute sophisticated experiments to evaluate model performance and behavior
• Lead the development of production-ready AI solutions that scale efficiently
• Collaborate with product teams to translate research innovations into practical applications
• Guide engineering teams in implementing AI models and systems at scale
• Author technical papers for top-tier conferences
• File patents for novel AI technologies and applications
A day in the life
You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our trust-preserving experiences. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.
About the team
Who We Are:
Trust CX Innovations is a strategic innovation team within Amazon Devices & Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering and customer-centric design.
Basic Qualifications: - 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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.
A Senior Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies. We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases.
You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.
Key job responsibilities
• Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities
• Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning
• Pioneer new methods for AI safety, alignment, and responsible AI development
• Design and execute sophisticated experiments to evaluate model performance and behavior
• Lead the development of production-ready AI solutions that scale efficiently
• Collaborate with product teams to translate research innovations into practical applications
• Guide engineering teams in implementing AI models and systems at scale
• Author technical papers for top-tier conferences
• File patents for novel AI technologies and applications
A day in the life
You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our trust-preserving experiences. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.
About the team
Who We Are:
Trust CX Innovations is a strategic innovation team within Amazon Devices & Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering and customer-centric design.
Basic Qualifications: - 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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.
Requirements
- Lead research initiatives in generative AI
- Develop innovative approaches for model optimization
- Pioneer new methods for AI safety, alignment, and responsible AI development
- Design and execute sophisticated experiments to evaluate model performance and behavior
- Lead the development of production-ready AI solutions that scale efficiently
- Collaborate with product teams to translate research innovations into practical applications
- Guide engineering teams in implementing AI models and systems at scale
- Author technical papers for top-tier conferences
Benefits
- 401k Matching
- Certification Support
- Company Retreats
- Conference Budget
- Coworking Space
- Dental Insurance
- Employee Assistance Program
- Employee Discounts
Skills
Generative AI LLMs prompt engineering Multimodal models Few-shot learning Efficient fine-tuning Natural Language Understanding Dialog ManagementFull Time
$82.7k - $129.8k
5 months ago
Worldwide
Job Description
Our team is seeking a compliance specialist to conduct AI compliance assessments and develop regulatory documentation for Customer Service (CS) AI systems, supporting EU AI Act compliance, privacy requirements, and internal compliance standards.
Key job responsibilities
AI Assessment & Risk Analysis
- Conduct AI risk assessments for CS AI systems, determining risk classification under EU AI Act framework
- Perform technical reviews of AI/ML models including bias testing analysis and fairness evaluations
- Assess AI systems for privacy compliance (GDPR, CCPA) and accessibility requirements
- Evaluate AI transparency and explainability mechanisms
- Collaborate with technical teams to identify and document AI-specific risks
Regulatory Documentation & Compliance
- Draft technical documentation for AI systems including system specifications, data governance, and risk management measures
- Prepare conformity assessment documentation supporting EU AI Act compliance
- Develop compliance documentation communicating risk analyses and recommendations
- Maintain AI system records in GRC framework (Archer/SIM)
Consultation & Guidance
- Consult with CS builder teams on AI compliance requirements during system development
- Provide guidance on compliance requirements for new AI implementations
- Develop guidance materials and documentation templates for teams deploying AI systems
- Respond to compliance questions and support troubleshooting of compliance issues
- Support remediation efforts for identified compliance gaps
Monitoring & Continuous Improvement
- Monitor emerging AI regulations and risks
- Track internal control effectiveness for AI systems
- Support AI compliance program improvement initiatives
- Assist with regulatory intelligence and translation of requirements into actionable steps
- Support AI compliance projects as assigned
About the team
The CS Risk Mitigation organization provides assurance to Customer Service leadership that operational and reputational risks are effectively identified and addressed. Our team champions a proactive approach to risk management across Amazon by building mechanisms to validate that processes and controls are in place before issues arise. We combine deep risk expertise with technological innovation to protect our customers and business while enabling operational excellence.
Basic Qualifications: - Experience with AI/ML technologies
- Experience coordinating between technical teams, peers and business stakeholders
- Experience working in a fast-paced and highly cross-functional organization
- Familiarity with GDPR, CCPA, and emerging AI regulations (EU AI Act)
- Ability to conduct assessments and create clear documentation
- AIGP certification or willingness to work towards achieving this. Preferred Qualifications: - Experience with technology risk, IT security audit, compliance and/or relevant regulatory knowledge
- Knowledge of SQL or Python
- Experience in data analysis and reporting
- Experience with written and verbal communication and presentation
- Experience handling ambiguous or undefined challenges through strong problem solving abilities
- Relevant certifications such as CIPT, CIPP/E, CIPP/US, or AWS certifications
- Exposure to bias testing, model explainability, or AI governance concepts
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.
USA, WA, Seattle - 82,700.00 - 129,800.00 USD annually
Key job responsibilities
AI Assessment & Risk Analysis
- Conduct AI risk assessments for CS AI systems, determining risk classification under EU AI Act framework
- Perform technical reviews of AI/ML models including bias testing analysis and fairness evaluations
- Assess AI systems for privacy compliance (GDPR, CCPA) and accessibility requirements
- Evaluate AI transparency and explainability mechanisms
- Collaborate with technical teams to identify and document AI-specific risks
Regulatory Documentation & Compliance
- Draft technical documentation for AI systems including system specifications, data governance, and risk management measures
- Prepare conformity assessment documentation supporting EU AI Act compliance
- Develop compliance documentation communicating risk analyses and recommendations
- Maintain AI system records in GRC framework (Archer/SIM)
Consultation & Guidance
- Consult with CS builder teams on AI compliance requirements during system development
- Provide guidance on compliance requirements for new AI implementations
- Develop guidance materials and documentation templates for teams deploying AI systems
- Respond to compliance questions and support troubleshooting of compliance issues
- Support remediation efforts for identified compliance gaps
Monitoring & Continuous Improvement
- Monitor emerging AI regulations and risks
- Track internal control effectiveness for AI systems
- Support AI compliance program improvement initiatives
- Assist with regulatory intelligence and translation of requirements into actionable steps
- Support AI compliance projects as assigned
About the team
The CS Risk Mitigation organization provides assurance to Customer Service leadership that operational and reputational risks are effectively identified and addressed. Our team champions a proactive approach to risk management across Amazon by building mechanisms to validate that processes and controls are in place before issues arise. We combine deep risk expertise with technological innovation to protect our customers and business while enabling operational excellence.
Basic Qualifications: - Experience with AI/ML technologies
- Experience coordinating between technical teams, peers and business stakeholders
- Experience working in a fast-paced and highly cross-functional organization
- Familiarity with GDPR, CCPA, and emerging AI regulations (EU AI Act)
- Ability to conduct assessments and create clear documentation
- AIGP certification or willingness to work towards achieving this. Preferred Qualifications: - Experience with technology risk, IT security audit, compliance and/or relevant regulatory knowledge
- Knowledge of SQL or Python
- Experience in data analysis and reporting
- Experience with written and verbal communication and presentation
- Experience handling ambiguous or undefined challenges through strong problem solving abilities
- Relevant certifications such as CIPT, CIPP/E, CIPP/US, or AWS certifications
- Exposure to bias testing, model explainability, or AI governance concepts
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 - 82,700.00 - 129,800.00 USD annually
Requirements
- Experience with AI/ML technologies
- Experience coordinating between technical teams, peers and business stakeholders
- Experience working in a fast-paced and highly cross-functional organization
- Familiarity with GDPR, CCPA, and emerging AI regulations (EU AI Act)
- Ability to conduct assessments and create clear documentation
- AIGP certification or willingness to work towards achieving this
Benefits
- 401k Matching
- Certification Support
- Flexible Hours
- Health Insurance
- Paid Time Off
- Remote Work
- Training Budget
