Lead Gen AI Scientist for Production AI Systems

Socket.dev; Bellevue (WA); Hybrid; USD 167,000 - 226,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Web Services (AWS) seeks a Senior Applied Scientist to lead innovation in Gen AI, building production grade systems that scale across AWS services. You will define science vision, mentor engineers, and guide research roadmaps while collaborating with business teams to translate problems into actionable ML solutions.

You will work on agentic AI, continual learning, and large-scale NLP/DL techniques, delivering real world applications, from idea to prototype to live production, with a

Qualifications

• PhD or Master's degree with 6+ years of applied research experience.
• 3+ years building machine learning models for business applications.
• Knowledge of programming languages such as C/C++, Python, Java or Perl.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Deliver real world production systems at AWS scale.
• Work closely with the business to understand the problem space and opportunities.
• Use machine learning, data mining, statistical techniques, Generative AI to create scalable solutions.
• Analyze and extract relevant information from large amounts of data.
• Work with software engineering teams to deliver production systems with ML models.
• Establish scalable, automated processes for large scale data analyses, model development, validation and implementation.

Skills

ML modeling

Deep learning

Python

C/C++

Java

Perl

Technology leadership

Education

PhD in a related field

Master's degree in a related field

Tools

Profiling tools

Distributed computing

Job description

Amazon Web Services (AWS) seeks a Senior Applied Scientist to lead innovation in Gen AI, building production grade systems that scale across AWS services. You will define science vision, mentor engineers, and guide research roadmaps while collaborating with business teams to translate problems into actionable ML solutions.

You will work on agentic AI, continual learning, and large-scale NLP/DL techniques, delivering real world applications, from idea to prototype to live production, with a