Role at a glance
- Job function
-
AI & Data Machine Learning Engineering
- Salary
- Not Disclosed
- Location
- Palo Alto, California, United States New York, New York, United States
- Work arrangement
- On-site
- Employment
- Internship
- Education
- Bachelor's
Spotted an issue?
We’ll check it against the original posting.
Qualifications
Required
- 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
- 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
About the role
Original posting provided by 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.
- 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
- 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.
USA, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
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.
USA, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.