Sr. Machine Learning Engineer, Generative AI Innovation Center

Amazon; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a cutting-edge team at the forefront of AI innovation, where you will develop and fine-tune large language models for diverse applications. This role offers the chance to work with state-of-the-art AI technologies and collaborate with enterprise customers to create tailored generative AI solutions. As part of a multidisciplinary team, you will drive the development of scalable training pipelines and optimize models for high-performance deployment. If you're passionate about AI and eager to tackle complex challenges, this position is your opportunity to make a significant impact in the industry.

Qualifications

• 5+ years of software development experience with a focus on AI.
• Hands-on experience with deep learning and machine learning methods.

Responsibilities

• Design and implement distributed training pipelines for LLMs.
• Optimize AI models for deployment on AWS custom accelerators.

Skills

Software Development

Deep Learning

Machine Learning

Programming Languages

Mentoring

System Design

Generative AI Solutions

Education

Bachelor's Degree in Computer Science

Tools

DeepSpeed

AWS Inferentia

AWS Trainium

AWS Neuron SDK

Job description

Sr. Machine Learning Engineer, Generative AI Innovation Center

Job ID: 2925579 | Amazon Web Services, Inc.

The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.

As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.

Key job responsibilities

1. Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency.
2. LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF).
3. Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance.
4. Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions.

BASIC QUALIFICATIONS

• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software programming language experience.
• Experience as a mentor, tech lead or leading an engineering team.
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference).
• Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies.

PREFERRED QUALIFICATIONS

• Bachelor's degree in Computer Science or equivalent.
• Hands-on experience with at least one ML library or framework.
• 2+ years of experience in developing, deploying or optimizing ML models.
• 5+ years of experience in the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.