Job Description

Locations

• Seattle, Washington, United States
• Santa Clara, California, United States
• New York, New York, United States

Salary

Skills Required

• patentsintermediate

Required Qualifications

• PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience (experience, 10 years)
• 5+ years of hands-on large scale training experience (experience, 5 years)
• Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
• Experience programming in C++, Python or related language (experience)

Preferred Qualifications

• Prior experience at training or inference large scale models (experience)
• Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow 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. (experience)

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 agentic RL training recipes 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 conferences (NeurIPS, ICML, ICLR )
• Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems

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