Machine Learning Engineer, Ad Response Prediction

Amazon • Seattle, WA

10d

About The Position

The Sponsored Products and Brands team at Amazon Ads is re-imagining the
advertising landscape through industry leading generative AI technologies,
revolutionizing how millions of customers discover products and engage with
brands across Amazon.com and beyond. We are at the forefront of re-inventing
advertising experiences, bridging human creativity with artificial intelligence
to transform every aspect of the advertising lifecycle from ad creation and
optimization to performance analysis and customer insights. We are a passionate
group of innovators dedicated to developing responsible and intelligent AI
technologies that balance the needs of advertisers, enhance the shopping
experience, and strengthen the marketplace. If you're energized by solving
complex challenges and pushing the boundaries of what's possible with AI, join
us in shaping the future of advertising.

Our systems and algorithms operate on one of the world's largest product
catalogs, matching shoppers with advertised products with a high relevance bar
and strict latency constraints. We work hand-in-hand with Machine Learning and
NLP research scientists to come up with novel solutions that deliver highly
relevant ads. We consistently strive to improve the customer search and detail
page experiences. You will drive appropriate technology choices for the
business, lead the way for continuous innovation, and shape the future of
e-commerce. This is an opportunity to make a significant impact on the future of
the Amazon vision.

As a Machine Learning Engineer at Amazon, you will drive the technical direction
of our offerings and solutions, working with many different technologies across
the sponsored products organization. You will design, code, troubleshoot, and
support scalable machine-learning pipelines and online serving systems. You will
work closely with applied scientists to optimize the performance of
machine-learning models and infrastructure, and implement end-to-end solutions.
What you create is also what you own.

The business and technical challenges are significant. Fortunately, we have a
broad mandate to experiment and innovate, and a seemingly endless range of new
opportunities to build a big, sustainable business that helps Amazon
continuously delight our customers.

We're looking for curious and customer-obsessed software engineers who can help
us take our products to the next level. We embrace leaders with a startup
mentality — those who seek a disruptive yet clear mission and purpose, have an
unambiguous owner's mindset, and are relentlessly obsessed with delivering
amazing products.

You'll own significant products and features from design through launch, and
will work with product managers, scientists and other engineers to make your
efforts successful. If this sounds like your sort of challenge, come and join
our team.

Requirements

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• 3+ years of non-internship professional software development experience
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• Knowledge of machine learning model architecture and inference

Nice To Haves

• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
• Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
• 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
• Demonstrated track record of innovative AI solution development

Responsibilities

• Own technical vision and direction: You identify problems and develop solutions; you embrace performance metrics and measurement techniques because they help you assess how well system-related services are running.
• Build and grow your team: You'll be a key contributor on an engineering team that delivers results. This means you'll wear a lot of hats -- from software design, implementation, project management, operations, working with business partners, and so on. You'll be an example of Amazon's leadership principles and work to grow more leaders within your group.
• Collaborate on product direction: You’ll build and maintain strong relationships between engineering and partner disciplines (Product, User Experience, QA) to ensure that we're focused on delivering the right product for customers.
• Lead beyond your team: You will be a key part of a small but growing community of engineering leaders who support their teams and contribute to the overall growth of our product development organization. You'll share your experience and technical acumen in order to drive technology decisions across our organization.
• Own your own shop: Our products reach hundreds of millions of customers around the world. We run operations 24x7x365 and the services your team delivers must meet high standards for operational excellence. Our teams own and operate the systems we build.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level