Senior Applied Scientist, LLM Code Agents, Kiro Science

Amazon; Austin (TX); Hybrid; USD 150,400 - 260,000; Full time

Benefits offered by this job

Health and wellness benefits

Flexible work arrangements

Stock options and bonuses

Job summary

A leading cloud computing firm is looking for a Machine Learning Scientist in Austin, Texas. You will work on AI-driven development tools, employing cutting-edge methodologies to innovate in the field of software development. The ideal candidate has extensive machine learning experience and a strong background in programming, with opportunities for both remote and on-site work. Competitive compensation and benefits are provided.

Qualifications

• 3+ years of experience building machine learning models.
• PhD or Master's with 6+ years of applied research.
• Experience programming in Java, C++, or Python.
• Knowledge of neural deep-learning and machine learning.

Responsibilities

• Push boundaries of reinforcement learning for large language models.
• Invent machine learning solutions at Amazon scale.
• Deploy products impacting workflows of millions.

Skills

Machine learning model development

Programming in Java

Programming in C++

Programming in Python

Neural deep-learning methods

Education

PhD or Master's degree

Job description

Amazon Web Services (AWS) is assembling an elite team of world‑class scientists and engineers to pioneer the next generation of AI‑driven development tools. Join the Amazon Kiro LLM‑Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape.

Key Responsibilities

• Push the boundaries of reinforcement learning and post‑training methodologies for large language models specialized in code intelligence
• Invent and implement state‑of‑the‑art machine learning solutions that operate at unprecedented Amazon scale
• Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide
• Break new ground in AI and machine learning, challenging what’s possible in intelligent code assistance
• Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP)
• Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems

The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We’re leveraging the latest advances in AI to transform how engineers work from IDE environments to web‑based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency.

Broadly, AWS Utility Computing (UC) provides product innovations—from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IOT), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

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

Here at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

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, mentorship, and other career‑advancing resources here to help you develop into a better‑rounded professional.

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

We value innovation and recognize that this sometimes requires uninterrupted time to focus on a build. We also value in‑person collaboration and time spent face‑to‑face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.

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

• First author publications at Tier‑1 ML conferences

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

Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 Amazon Hiring Accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. For more information, please visit Amazon Employee Benefits.