Applied Scientist II, AWS Agentic AI

Socket.dev; Santa Clara (CA); On-site; USD 171,600 - 222,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon AWS Agentic AI is seeking a passionate scientist to advance Agent optimization/learning for foundational models and RL-based fine-tuning, with an emphasis on scalable context optimization for AWS customers.

You will help shape the research roadmap and translate science into production by collaborating with product and engineering teams to bring innovations to customer-facing AWS services.

Qualifications

• PhD or Master’s degree with 4+ years in CS, CE, ML or related field.
• Publications or patents at top-tier conferences or journals.
• Proficient in Java, C++, and Python.

Responsibilities

• Develop short-term and long-term science roadmap for Agent optimization/learning.
• Develop concrete science plan, implement and validate research ideas.
• Collaborate with product and engineering to transfer innovations to AWS services.

Skills

Java

C++

Python

Research

Education

PhD

Master's degree

Job description

Amazon is looking for a passionate and inventive scientist to advance thescience in foundational models and Agentic AI. Specifically, as part of ourscience team in Amazon AWS Agentic AI, you will lead the research anddevelopment of techniques for efficient and effective Agentoptimization/learning, through various techniques ranging from model fine-tuning(e.g. RL) to context optimization, as a foundational layer for AWS customers tobuild reliable and performant Agents.

You will have the opportunity to take a product from zero to one by influencingdirectly the product and science roadmap, and impact millions of our customers.You will also gain hands on experience with Amazon’s large-scale computingresources to accelerate advances in foundation models.

Key job responsibilities

• Develop short-term and long-term science roadmap for research in the broadarea of Agent optimization/learning, which could range from RL reward shaping,training efficiency optimization, to automatic prompt optimization andtechniques to learn from agent memory.
• Develop concrete science plan, implement and validate research idea beforemoving it to production
• Collaborate across product and engineering teams to transfer scienceinnovations into AWS customer facing product.

About the team

Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of thequalifications and skills listed in the job description, we encourage candidatesto 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 AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adoptedcloud platform. We pioneered cloud computing and never stopped innovating —that’s why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-ledaffinity groups foster a culture of inclusion that empower us to be proud of ourdifferences. Ongoing events and learning experiences, including ourConversations on Race and Ethnicity (CORE) and AmazeCon) conferences, inspire usto never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’sBest Employer. That’s why you’ll find endless knowledge-sharing, mentorship andother career-advancing resources here to help you develop into a better-roundedprofessional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at theexpense of sacrifices at home, which is why we strive for flexibility as part ofour working culture. When we feel supported in the workplace and at home,there’s nothing we can’t achieve in the cloud.

Basic Qualifications:

• 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 orjournals
• Experience programming in Java, C++, Python or related language

Preferred Qualifications:

• Experience with techniques like RLVR, reward modeling, inference optimization, agent task/environment synthesis.

Amazon is an equal opportunity employer and does not discriminate on the basisof protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safelyand cooperatively with other employees, supervisors, and staff; adhere tostandards of excellence despite stressful conditions; communicate effectivelyand respectfully with employees, supervisors, and staff to ensure exceptionalcustomer service; and follow all federal, state, and local laws and Companypolicies. Criminal history may have a direct, adverse, and negative relationshipwith some of the material job duties of this position. These include the dutiesand responsibilities listed above, as well as the abilities to adhere to companypolicies, exercise sound judgment, effectively manage stress and work safely andrespectfully with others, exhibit trustworthiness and professionalism, andsafeguard business operations and the Company’s reputation. Pursuant to the LosAngeles County Fair Chance Ordinance, we will consider for employment qualifiedapplicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for ourcustomers. If you have a disability and need a workplace accommodation oradjustment during the application and hiring process, including support for theinterview or onboarding process, please visithttps://amazon.jobs/content/en/how-we-hire/accommodations[https://amazon.jobs/content/en/how-we-hire/accommodations] for moreinformation. If the country/region you’re applying in isn’t listed, pleasecontact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon packagewill include sign-on payments and restricted stock units (RSUs). Finalcompensation will be determined based on factors including experience,qualifications, and location. Amazon also offers comprehensive benefitsincluding health insurance (medical, dental, vision, prescription, Basic Life &AD&D insurance and option for Supplemental life plans, EAP, Mental HealthSupport, Medical Advice Line, Flexible Spending Accounts, Adoption and SurrogacyReimbursement coverage), 401(k) matching, paid time off, and parental leave.Learn more about our benefits at https://amazon.jobs/en/benefits[https://amazon.jobs/en/benefits].

USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually