AmazonMachine Learning Engineer, Sponsored Products and Brands
Amazon is hiring a Machine Learning Engineer, Sponsored Products and Brands in New York, United States. It pays $158k-$214k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Builds AI ●●●● is how Level rates this machine learning engineer role: the job is building AI systems.
- Tools and skills the posting cites include AI agents.
- 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
Our team builds and runs the ML infrastructure behind those models, end to end:
- Offline feature engineering: a multi-tenant platform used by several ML teams. It runs thousands of daily feature jobs over petabyte-scale data and produces the features that train models in every marketplace we serve.
- Model training: the standard system that retrains CTR and CVR models every day. How fresh these models are directly affects advertiser results and Amazon's revenue.
- Online feature store and feature retrieval: low-latency, high-throughput services that provide features when a model makes a prediction. These predictions feed the scores used in real-time ad ranking.
- Next-generation research platform: a platform that uses AI agents to help scientists explore, test and launch new model ideas faster.
As an SDE II, you'll design, build and run distributed systems that work at very large scale, both in offline batch processing and online serving. You'll work closely with applied scientists and engineers to make models fresher, help scientists try ideas faster, and keep the systems that support ads ranking reliable.
Key job responsibilities
- Design and develop ML infrastructure for advanced recommendation models, from training through real-time inference, that delivers highly relevant ads to shoppers worldwide
- Improve the scalability, automation and efficiency of large-scale training and real-time inference systems
- Work closely with applied scientists to optimize the performance of ML models and infrastructure, and take models from experimentation into production
- Deliver ML solutions end to end: design, implementation, testing, deployment and operations
- Collaborate with engineers and scientists across the team to build systems that serve ads across all Amazon platforms and surfaces
- Participate in design and code reviews and mentor peers
A day in the life
You might start the day checking the health of the overnight feature and training pipelines. Then you'd work with scientists on how to support a new model architecture, and spend the afternoon building a performance improvement for the online feature store. You'll ship often, see your work affect ads served around the world, and influence how ML infrastructure grows across the organization.
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.
We're the team behind the full ML lifecycle for Sponsored Products recommendation models, from raw data to features, training and real-time serving. We value ownership, getting things done, and close collaboration with science partners. We invest in mentorship and in tools that make engineers and scientists more productive, including AI-assisted development.
Basic qualifications
- 3+ years of software development engineer or related occupational experience
- 3+ 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 building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- 1+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- Experience programming with at least one software programming language
Preferred qualifications
- 1+ years of mathematics optimization such as linear programming and nonlinear optimization experience
- Master's degree in Computer Science, Engineering, Mathematics, or a related field
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, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
How we rate this
Machine Learning Engineer, Sponsored Products and Brands at Amazon rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- This job starts at
- $158k
- Typical machine learning engineer job
- $197k
This posting starts 20% below the typical machine learning engineer job. See machine learning engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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