Machine Learning Engineer

Amazon is hiring a Machine Learning Engineer in Seattle, United States. It pays $158k-$214k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this machine learning engineer role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include NLP.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

nlp

Build the machine learning pipelines and online serving systems that match shoppers with advertised products across one of the world's largest product catalogs, with a high relevance bar and strict latency limits. Your work will directly shape the ads hundreds of millions of customers see in Amazon search results and on detail pages around the world.

You'll work closely with machine learning and NLP research scientists to optimize model performance and ML infrastructure, from training pipelines to real-time serving. You'll deliver solutions end to end, then run them to the operational standards needed for services that are always on and used around the globe.

Key job responsibilities
- Design, develop and support scalable ML pipelines and online serving systems that deliver highly relevant sponsored ads under strict latency limits
- Partner with applied and research scientists to optimize ML model performance and infrastructure, and take models from experimentation into production
- Deliver ML features end to end: system design, implementation, testing, deployment and operations
- Identify problems, propose solutions and use performance metrics to track system health and model quality
- Run production services to a high bar for operational excellence (24x7x365) for products used by hundreds of millions of customers
- Work with Product, UX, QA and other engineers to build the right product for customers
- Mentor peers and share technical knowledge through design and code reviews

About the team
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.

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
- 1+ years of software development engineer or related occupational experience
- 1+ 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
- 1+ years of Object Oriented Design 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually

How we rate this

Machine Learning Engineer at Amazon rates 6 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.