Machine Learning Engineer II , AGI Customization

Amazon.com Inc

Boston, MA

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Code Reviews, Communication Skills, Computer Science, Machine Learning, Mentoring, Modeling Languages, Software Development, Software Engineering, Team Player
LOCATION
Boston, MA
POSTED
30+ days ago

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

As a SDE 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 team work, 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.

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.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles