Software Development Engineer (ML), AGI Customization

Amazon; Boston (MA); On-site; USD 90,000 - 140,000; Full time

Job summary

An innovative company is seeking a passionate ML Engineer to join their Artificial General Intelligence team. In this role, you will lead the development of cutting-edge LLM training techniques, collaborating with applied scientists to leverage vast data sources and computing resources. Your work will focus on creating high-performance AI products in a dynamic environment that values mentorship and career growth. This is a unique opportunity to contribute to the advancement of generative AI solutions while maintaining a healthy work-life balance. If you thrive in a collaborative setting and are eager to tackle complex challenges, this position is perfect for you.

Benefits

Flexible working hours

Mentorship opportunities

Work-life balance support

Qualifications

• 3+ years of software development experience, with strong ML background.
• Experience in design patterns, reliability, and scaling systems.

Responsibilities

• Investigate design approaches and prototype new technology.
• Optimize machine learning models and scale data processing.

Skills

Machine Learning

Software Development

Agile/Scrum

Communication Skills

Education

Bachelor's degree in Computer Science

Tools

Programming Languages

Job description

Software Development Engineer (ML), AGI Customization

Job ID: 2931602 | Amazon.com Services LLC

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive ML Engineer with a strong machine learning background, to build customization capabilities such as fine tuning and distillation.

As a ML engineer with the AGI team, you will be responsible for leading the development of novel LLM training techniques and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions.

Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.

Responsibilities:

1. Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
2. Work closely with Applied scientists to process data and scale machine learning models while optimizing.
3. Will work in an Agile/Scrum environment to deliver high quality software.

About the team

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Work/Life Balance
Our team puts a high value on work-life balance. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

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

PREFERRED QUALIFICATIONS

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

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.