Machine Learning Engineer, Gen AI Innovation Center, AWS

Amazon; Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer in the Generative AI Innovation Center. This role offers the chance to drive the development of custom Large Language Models (LLMs) and optimize AI models for deployment on cutting-edge technology. You'll collaborate with a multidisciplinary team to innovate and deliver high-impact AI solutions that transform business opportunities. With a culture that values work-life harmony and continuous learning, this position is ideal for those looking to make a significant impact in the field of AI while enjoying a supportive work environment.

Qualifications

• 3+ years of software development experience with a focus on AI and ML.
• Hands-on experience with generative AI technologies and deep learning methods.

Responsibilities

• Design and implement distributed training pipelines for LLMs.
• Collaborate with customers to develop tailored generative AI solutions.

Skills

Software Development

Deep Learning

Machine Learning

Generative AI

Full Stack Development

Programming

System Design

Education

Bachelor's degree in Computer Science

Graduate degree (MS or PhD) in related field

Tools

AWS Neuron SDK

DeepSpeed

Fully Sharded Data Parallel (FSDP)

Job description

Machine Learning Engineer, Gen AI Innovation Center, AWS

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 Software Development Engineer (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.

A day in the life

As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:

• Build high-impact Gen AI solutions to deliver to our large customer base.
• Participate in design discussions, code review, and communicate with internal and external stakeholders.
• Work cross-functionally to help drive business solutions with your technical input.
• Work in a startup-like development environment, where you’re always working on the most important stuff.

About the team

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to 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.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped 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.

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.

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.

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.

Basic Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience programming with at least one software programming language.
• Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine-tuning, and inference).
• Hands-on experience with generative AI technology.
• 3+ years of full stack development experience.
• Bachelor's degree in computer science or equivalent.
• Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field.
• 1+ years of hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework.

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.