11 Campaign Optimization jobs in the United States

2 days ago Be among the first 25 applicants About At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! We're seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You will develop models and systems that improve our platform across the board, develop production code to generate high quality ad recommendations and work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You will also drive strategic outcomes through meaningful innovation in multiple fields by owning the development and application of sophisticated techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will partner with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of innovative capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning or optimization algorithms, ideally within the ads space, recommendations, or search relevance. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a great teammate under potentially tight constraints is key to success. About At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! We're seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You will develop models and systems that improve our platform across the board, develop production code to generate high quality ad recommendations and work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You will also drive strategic outcomes through meaningful innovation in multiple fields by owning the development and application of sophisticated techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will partner with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of innovative capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning or optimization algorithms, ideally within the ads space, recommendations, or search relevance. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a great teammate under potentially tight constraints is key to success. Description In this role, you'll design and build scalable solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads. You will have the opportunity to build the next generation solutions for budget and bid optimization that enable driving optimal campaign performance and advertiser experience. You will work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grown. You will have the opportunity to apply your ability to move the state of the art techniques in a fast growing business that positively impacts publishers, developers and Apple users at global scale. Minimum Qualifications 3+ years of experience building machine learning and quantitative optimization capabilities, across many different product areas at scale Experience in machine learning, quantitative methods, control systems, or reinforcement learning Ability to apply and implement research concepts, ultimately in production quality code Experience defining clear, testable research hypotheses, including intended impact on the business Deep knowledge of design of experiments, online experimentation approaches, preferably at scale Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management Experience contributing and/or reviewing research for top conferences and publications Deep fluency in Java or Python Experience with Spark, Hadoop or other distributed frameworks BS, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems Preferred Qualifications 5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $64,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Nice-to-have skills Machine Learning Java Python Spark Hadoop Cupertino, California Work experience Machine Learning NLP Search Applications Product Owner / Product Manager Languages English Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Research, Analyst, and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at TieTalent by 2x Get notified about new Scientist jobs in Cupertino, CA . Foster City, CA 135,000 - 185,000 2 weeks ago San Francisco Bay Area 65,000 - 75,000 2 weeks ago Milpitas, CA 115,900 - 197,000 2 weeks ago Sunnyvale, CA 87,000 - 131,000 2 weeks ago Palo Alto, CA 60,000 - 85,000 1 month ago San Jose, CA 160,000 - 220,000 2 weeks ago Scientist II or Senior Scientist: Mass Spectrometry Santa Cruz, CA 125,000 - 172,000 1 week ago San Jose, CA 123,500 - 212,850 4 days ago We’re unlocking community knowledge in a new way. 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In this role, you'll design and build scalable solutions that enable advertisers to optimize their campaign goals and performance on Apple Ads. You will have the opportunity to develop next-generation solutions for budget and bid optimization, driving optimal campaign performance and enhancing the advertiser experience. Collaborating with cross-functional business partners, you'll set strategies and implement end-to-end solutions that scale as we grow. This role offers the chance to apply advanced techniques in a fast-growing business that benefits publishers, developers, and Apple users globally.

• 3+ years of experience in building machine learning and quantitative optimization capabilities across various product areas at scale
• Experience in machine learning, quantitative methods, control systems, or reinforcement learning
• Proficiency in translating research concepts into production-quality code
• Experience in defining clear, testable research hypotheses with business impact
• Deep understanding of experimental design and online experimentation at scale
• Ability to communicate R&D objectives and results effectively to cross-functional teams, including executive leadership and product management
• Experience with research contributions to top conferences and publications
• Fluency in Java or Python
• Experience with distributed frameworks such as Spark or Hadoop
• Bachelor's degree or equivalent in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning, or related fields, with experience in building production systems

• 5+ years of experience in building machine learning and optimization solutions across multiple product areas at scale
• MS or PhD in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning, or related fields, with experience in production systems

At Apple, compensation includes base pay within a range, with opportunities for growth based on skills and experience. The pay range for this role is $143,100 to $264,200, depending on individual qualifications and location.

Employees may participate in stock programs, receive benefits such as medical and dental coverage, retirement plans, discounts, educational reimbursement, and potential bonuses or relocation support. Learn more about Apple Benefits.

Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant.

Senior Machine Learning Manager Ads Campaign Optimization

**Cupertino, California, United States**

**Machine Learning and AI**

**Summary**

Posted: **Apr 21, 2025**

Weekly Hours: **40**

Role Number: **200600660**

At Apple, we strive every day to create products that enrich peoples lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking an adventurous and strategic leader to drive innovation in Ads Campaign Optimization. This role requires a deep understanding of Ad network behavior and the ability to develop and prioritize an innovation roadmap that spans multiple technical domains. You'll lead a team that designs, develops, and delivers innovative capabilities, differentiating Apples Ad Platforms and driving key business outcomes.

**Description**

As a Machine Learning (ML) Manager, you'll be responsible for building products and solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads Platforms. In addition, you will have the opportunity to play a critical role in influencing the roadmap and technical strategy in allied areas like auction optimization, advertiser recommendations, response prediction etc all of which are critical for delivering enhanced experience for the advertisers on our platform.

- Define and implement the technical strategy for building solutions like budget and bid optimization for optimizing campaign performance and advertiser experience

- Play a critical role in shaping the strategy and roadmap for allied areas like auction optimization, advertiser recommendations, response prediction etc to deliver an optimal end to end experience for advertisers

- Leverage innovative research and technology to deliver these capabilities at scale

- Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant

- Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness.

- Work closely with Engineering and Business teams to scale innovations, improving user experience and monetization potential across Apples advertising platform.

- Operate at utmost scale, ensuring efficient and reliable model deployment and execution.

- Develop and implement ad algorithms, optimization solutions, and marketplace data analyses within an ad network.

- Architect and scale intelligence systems, addressing operational concerns and performance optimizations.

**Minimum Qualifications**

+ 7+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets.

+ Track record of leading engineering teams from design to implementation, ensuring scalability and reliability.

+ Deep mathematical understanding of modern ML techniques, including linear algebra and statistics.

+ Experience working with operational teams on deployment, monitoring, and system management.

+ Strong analytical skills, ability to investigate multiple streams of ad quality data, draw insights, and recommend actionable solutions.

+ Experience in one or more of the following domains: Algorithms, Architecture, AI, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, Quantitative Analysis, or Systems Software implementation.

+ Hands-on experience with Python or Java in a production environment.

+ Proficiency in databases, SQL, and scripting languages for data processing and model deployment.

+ BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field

**Preferred Qualifications**

+ 10+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets.

+ MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.

+ Previous experience with online advertising domain highly preferred.

**Pay & Benefits**

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $190,700 and $329,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Senior Machine Learning Manager – Ads Campaign Optimization Cupertino, California, United States Machine Learning and AI Description As a Machine Learning (ML) Manager, you'll be responsible for building products and solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads Platforms. In addition, you will have the opportunity to play a critical role in influencing the roadmap and technical strategy in allied areas like auction optimization, advertiser recommendations, response prediction etc., all of which are critical for delivering enhanced experience for the advertisers on our platform. Define and implement the technical strategy for building solutions like budget and bid optimization for optimizing campaign performance and advertiser experience. Play a critical role in shaping the strategy and roadmap for allied areas like auction optimization, advertiser recommendations, response prediction etc. to deliver an optimal end-to-end experience for advertisers. Leverage innovative research and technology to deliver these capabilities at scale. Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant. Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness. Work closely with Engineering and Business teams to scale innovations, improving user experience and monetization potential across Apple’s advertising platform. Operate at utmost scale, ensuring efficient and reliable model deployment and execution. Develop and implement ad algorithms, optimization solutions, and marketplace data analyses within an ad network. Architect and scale intelligence systems, addressing operational concerns and performance optimizations. Minimum Qualifications 7+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets. Track record of leading engineering teams from design to implementation, ensuring scalability and reliability. Deep mathematical understanding of modern ML techniques, including linear algebra and statistics. Experience working with operational teams on deployment, monitoring, and system management. Strong analytical skills, ability to investigate multiple streams of ad quality data, draw insights, and recommend actionable solutions. Experience in one or more of the following domains: Algorithms, Architecture, AI, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, Quantitative Analysis, or Systems Software implementation. Hands-on experience with Python or Java in a production environment. Proficiency in databases, SQL, and scripting languages for data processing and model deployment. BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field. Preferred Qualifications 10+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets. MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field. Previous experience with online advertising domain highly preferred. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $190,700 and $329,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr

Description

Campaign Measurement & Optimization (CMO) org's mission is to maximize global marketing ROI through actionable measurement results and insights for global marketing investment decisions. Our long-term objective is to measure the incremental impact of all Amazon's marketing investments on consumer perceptions, actions, and sales. This requires measuring Amazon's marketing comparably and consistently across channels, business teams and countries using a comprehensive approach that integrates all Paid, Owned and Earned marketing activity. As the experts on marketing performance, we will lead the Amazon worldwide marketing community by providing critical global insights that can power marketing best practices and tenets globally.

Are you passionate about Deep Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at scale? Be part of a team of industry leading experts that operates one of the most challenging big data and deep learning stacks at Amazon. Amazon is leveraging its highly unique data and applying the latest deep learning and big data technologies to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on many billions of events in near real time.

You'll be confronting some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactual and predicting the success of advertising strategies for omni-channel campaign measurement. Working with a cross-functional team of product managers, business development managers, engineering, and science (ML scientists, research science, economists ), you will build automatic scale software solutions to enable state of the art causal learning, deep learning, and predictive techniques which empower marketers understand the performance of their omni-channel campaigns and optimize their spends.

Key job responsibilities

• Experience with full life-cycle of software development / MLOps solutions from beginning to production launch.

• Deliver with independence on challenging large-scale problems with complexity and ambiguity.

• Independently own the tech solutions to ingest, standardize and scale marketing data from external and internal data sources that feed MLOps systems.

• Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.

• Write code in languages like Scala, Java or Python. Support and improve what you and your team built.

• Mentor and guide other engineers to develop the right system.

A day in the life

Key job responsibilities

Lead the technical solution including design, develop, launch and maintain measurement systems at scale that help estimate the incremental impact of Amazon cross channel marketing for various Amazon business units. Partner within the team and across to design, build, scale and launch new automatic solutions in productions. Work with peers to understand limitations and scope solutions and develop most efficient ways of handling it.

About the team

CMO (Campaign measurement and Optimization) owns a new challenging domain in CBA (Customer Behavior Analytics). As the experts on marketing performance, we will lead the Amazon worldwide marketing community by providing critical global insights that can power marketing best practices and tenets globally.

Basic Qualifications

• Bachelor's degree or equivalent

• 3+ years of non-internship professional software development experience

• 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Software Development Engineer, Campaign Measurement & Optimization Join to apply for the Software Development Engineer, Campaign Measurement & Optimization role at Amazon Software Development Engineer, Campaign Measurement & Optimization 1 day ago Be among the first 25 applicants Join to apply for the Software Development Engineer, Campaign Measurement & Optimization role at Amazon Description Campaign Measurement & Optimization (CMO) org’s mission is to maximize global marketing ROI through actionable measurement results and insights for global marketing investment decisions. Our long-term objective is to measure the incremental impact of all Amazon’s marketing investments on consumer perceptions, actions, and sales. This requires measuring Amazon’s marketing comparably and consistently across channels, business teams and countries using a comprehensive approach that integrates all Paid, Owned and Earned marketing activity. As the experts on marketing performance, we will lead the Amazon worldwide marketing community by providing critical global insights that can power marketing best practices and tenets globally. Description Campaign Measurement & Optimization (CMO) org’s mission is to maximize global marketing ROI through actionable measurement results and insights for global marketing investment decisions. Our long-term objective is to measure the incremental impact of all Amazon’s marketing investments on consumer perceptions, actions, and sales. This requires measuring Amazon’s marketing comparably and consistently across channels, business teams and countries using a comprehensive approach that integrates all Paid, Owned and Earned marketing activity. As the experts on marketing performance, we will lead the Amazon worldwide marketing community by providing critical global insights that can power marketing best practices and tenets globally. Are you passionate about Deep Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at scale? Be part of a team of industry leading experts that operates one of the most challenging big data and deep learning stacks at Amazon. Amazon is leveraging its highly unique data and applying the latest deep learning and big data technologies to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on many billions of events in near real time. You'll be confronting some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactual and predicting the success of advertising strategies for omni-channel campaign measurement. Working with a cross-functional team of product managers, business development managers, engineering, and science (ML scientists, research science, economists ), you will build automatic scale software solutions to enable state of the art causal learning, deep learning, and predictive techniques which empower marketers understand the performance of their omni-channel campaigns and optimize their spends. Key job responsibilities Experience with full life-cycle of software development / MLOps solutions from beginning to production launch. Deliver with independence on challenging large-scale problems with complexity and ambiguity. Independently own the tech solutions to ingest, standardize and scale marketing data from external and internal data sources that feed MLOps systems. Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed. Write code in languages like Scala, Java or Python. Support and improve what you and your team built. Mentor and guide other engineers to develop the right system A day in the life Key job responsibilities Lead the technical solution including design, develop, launch and maintain measurement systems at scale that help estimate the incremental impact of Amazon cross channel marketing for various Amazon business units. Partner within the team and across to design, build, scale and launch new automatic solutions in productions. Work with peers to understand limitations and scope solutions and develop most efficient ways of handling it. About The Team CMO (Campaign measurement and Optimization) owns a new challenging domain in CBA (Customer Behavior Analytics). As the experts on marketing performance, we will lead the Amazon worldwide marketing community by providing critical global insights that can power marketing best practices and tenets globally. Basic Qualifications 3+ years of non-internship professional software development experience 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence Bachelor's degree 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $23,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site. Company - Amazon.com Services LLC Job ID: A2987560 Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Consulting, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Get notified about new Software Engineer jobs in Seattle, WA . 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Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr