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engineering opportunity

Machine Learning Engineer, Amazon Ads Identity

You will design, develop, and maintain scalable machine learning pipelines and online serving systems for high-volume advertising identity products. You will collaborate with applied scientists to optimize model performance and drive technical innovation across Amazon's global ad-tech infrastructure.

Palo Alto, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Amazon?

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
  • [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
  • [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

Which skills does this role require?

Machine learningDistributed systemsAdtechJavaC++C#PerlSystem architectureScalable systemsData-driven decision makingObject oriented designAWSIdentity resolutionPerformance optimizationMachine LearningAmazon AdsAdTechIdentity ResolutionDistributed SystemsSoftware Development EngineerScalabilityLatencyObject Oriented DesignSystem ArchitectureData-DrivenProduct ManagementInfrastructureProduction ValidationMulti-threadedEmbedded SystemsBuild ProcessesInnovationAdvertisingREST APIs

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