Machine Learning Engineer, Amazon Ads Identity (Advertising)

Amazon Inc.

Palo Alto (CA)

On-site

USD 165,000 - 224,000

Full time

4 days ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Health insurance
RSUs
Employee stock options

Job summary

Amazon Ads Identity is seeking a Machine Learning Engineer to help build identity building and resolution for an ID-less world at internet scale. You will design, code, and optimize ML pipelines that operate with extremely low latency across Ads workflows and collaborate with scientists to innovate.

You will own end-to-end solution delivery, mentor others, and work across product, engineering and partner teams to drive measurable impact on Amazon's advertising identity capabilities.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture 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.
  • 1+ years of Object Oriented Design experience.
  • Experience programming with at least one software programming language.

Responsibilities

  • In this role, you will build ML based solutions & infra that handle supremely high scale.
  • You’ll collaborate with scientists who have years of experience building ML models and experiment in production.
  • Solve distributed systems and ad-serving problems that manifest only at supremely high scale.
  • Peer with senior engineers and scientists to develop new and innovative ad identity products.
  • Work closely with Product management, business development, scientists and partner teams about new ideas, technical design and project plans.
  • Make data-driven decisions to inform product prioritization.

Skills

C++
Java
Perl
OO design
Distributed systems
Architecture

Education

Bachelor's degree in Computer Science or equivalent

Job description

Machine Learning Engineer, Amazon Ads Identity

Are you interested in working with the core Amazon Advertising teams and collaborating with ad tech partners to spearhead innovation and deliver Identity solutions for our customers? Do you want to have direct and immediate impact on millions of customers every day? Do you want to closely work with our experienced scientists to build Machine Learning identity based innovations? We are building the next generation of Identity products and services that will fuel the growth of Amazon’s advertising business. We are looking for self-driven and talented engineers to revel in designing, developing machine learning based identity building and resolution which operates for extremely high volume (internet-scale), low latency systems to drive revenue to Amazon.

Our systems and algorithms operate on internet scale serving advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with scientists to come up with novel solutions that deliver highly relevant ads. We consistently strive to improve the identity building and resolution in the ID-less world. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of Amazon Ads world wide. This is an opportunity to make a significant impact on the future of the Amazon Ads vision.

As a Software Development Engineer in Machine Learning at Amazon, you will contribute to the technical direction of our offerings and solutions, working with many different technologies across Ads workflows (40+ systems) world wide that integrate with AIP. 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.

Key job responsibilities
  • In this role, you will:
  • You’ll build ML based solutions & infra that (1) handles supremely high scale (2) uses known models or optimized modes by collaborating with scientists (3) functions with our highly distributed components and (4) validate them in production WW
  • You’ll also have an opportunity to partner with our scientists who have years of experience building ML models and experiment in production.
  • Solve distributed systems and ad-serving problems that manifest only at supremely high scale.
  • Peer with senior engineers and scientists to develop new and innovative ad identity products.
  • Work closely with Product management, business development, scientists and partner teams about new ideas, technical design and project plans
  • Make data-driven decisions to inform product prioritization.
  • Be an early adopter of emerging AWS technologies for AdTech use cases.
  • Think out of the box!
A day in the life

You will work collaboratively both within and outside of the Advertising team. As a Software Engineer, you would spend most of your time architecting, designing and coding and the rest in collaboration and discussion. Since our team is in US East and West coast, we also like to have fun by taking time to celebrate each other and to spend time with remote happy hours.

About the team

Joining this team, you’ll experience the benefits of working in a dynamic, fast-paced environment, while leveraging the resources of Amazon.com (AMZN). We provide a highly customer-centric, team-oriented environment. AdTech Identity Program (AIP) team is spearheading innovation for the existential challenges in AdTech today: The need for reliably establishing customer identity in a IDless world without 3P cookies or Device identifiers.

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
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 .

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually

USA, NY, New York - 158,100.00 - 213,800.00 USD annually

Based on your recent activity, you may be interested in:

Posted: July 16, 2026 (Updated 2 months ago)

Posted: October 31, 2025 (Updated 12 months ago)

Location: ES, Community of Madrid, Madrid

Posted: February 6, 2026 (Updated 5 months ago)

Posted: December 11, 2025 (Updated about 1 month ago)

Location: ES, Community of Madrid, Madrid

Posted: September 11, 2026 (Updated about 1 month ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Machine Learning Engineer, Amazon Ads Identity
Machine Learning Engineer, Amazon Ads Identity

Amazon • New York (NY)

On-site
USD 158,000 - 214,000
Software Development Engineer, Sponsored Products and Brands (Advertising)
Software Development Engineer, Sponsored Products and Brands (Advertising)

Amazon Inc. • Palo Alto (CA)

On-site
USD 165,000 - 224,000
Applied Scientist II, Ads AI & Brand Insights
Applied Scientist II, Ads AI & Brand Insights

Amazon Inc. • Seattle (WA)

Hybrid
USD 143,000 - 193,000
Senior Applied Scientist , Amazon Ads
Senior Applied Scientist , Amazon Ads

Amazon • Berwick

On-site
USD 183,800 - 248,700
Sr. Applied Scientist, Sponsored Products and Brands (Advertising)
Sr. Applied Scientist, Sponsored Products and Brands (Advertising)

Amazon Inc. • New York (NY)

On-site
USD 184,000 - 249,000
Senior Applied Scientist, Agentic Ad AI & Growth
Senior Applied Scientist, Agentic Ad AI & Growth

Amazon • Seattle (WA)

Hybrid
USD 167,000 - 226,000
Senior Software Development Engineer, Ads Nova
Senior Software Development Engineer, Ads Nova

Amazon Inc. • New York (NY)

On-site
USD 185,000 - 250,000
Health insurance
401(k) matching
Paid time off
+1
Sr. Applied Scientist , Amazon Ads
Sr. Applied Scientist , Amazon Ads

Amazon Inc. • Seattle (WA), Northern (KY)

Hybrid
USD 167,000 - 226,000
Health insurance
401(k) matching
Paid time off
+1
Senior Applied Scientist , Amazon Ads
Senior Applied Scientist , Amazon Ads

Amazon • Bellevue (WA)

On-site
USD 167,000 - 260,000
Health insurance
401(k) matching
Paid time off
+1
AI/ML Engineer, Gateway
AI/ML Engineer, Gateway

Amazon • Seattle (WA)

On-site
USD 144,000 - 194,000
Health insurance
401(k) matching
Paid time off
+2