aiml - applied ml engineer, data generation & verification

aiml - sr machine learning engineer, data and ml innovation

applied science manager, sponsored products

applied scientist ii, sponsored products and brands

patient transporter (full time and part time)

aiml - applied ml engineer, data generation & verification Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

applied science manager, sponsored products Jobs in Seattle

applied scientist ii, sponsored products and brands Jobs in Seattle

applied scientist, sponsored products Jobs in Seattle

applied scientist, sponsored products

sde ii experience analytics agent experiences data products

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Experience Analytics (EXA) is seeking a Software Development Engineer to help build the tools and experiences that make customer data useful. EXA exists to understand how customers experience AWS and to turn that understanding into products and intelligence that teams across AWS can use. We are building a unified customer lifecycle data platform (Clara), customer experience measurement frameworks, segmentation systems, and AI-powered agents that make customer understanding available on demand.
<br>
<br>
This role sits at the intersection of infrastructure and experience. You will contribute to the core data product builds &mdash; pipelines, APIs, data publishing &mdash; while also prototyping and building the agent interfaces and experiences that make these products accessible. You will help us figure out what a Clara query experience should feel like, how knowledge bases should surface insights, and how AI agents should interact with the people who use them.
<br>
<br>
We are looking for someone who is curious about how people interact with data and AI systems, who can move quickly from idea to working prototype, and who is comfortable building across the stack rather than staying in one layer. You will work alongside applied scientists, data scientists, and researchers &mdash; translating their models and findings into experiences that work. Some weeks you will be deep in infrastructure. Other weeks you will be exploring what an agent interaction should look like. You should be energized by that range, not frustrated by it.
<br>
<br>
The ideal candidate writes clean, production-quality code, thinks carefully about the people who will use what they build, and is comfortable working in spaces where the right approach has not been defined yet.
<br>
<br>
Key job responsibilities<br>
<ul><li>Design, build, and maintain software components across EXA's core data product portfolio &mdash; including data pipelines, APIs, query interfaces, and data publishing infrastructure.
</li></ul><br>
<ul><li>Prototype and build agent experiences and interfaces for Clara and other EXA knowledge bases &mdash; exploring what the right interactions look like and iterating quickly based on what you learn.
</li></ul><br>
<ul><li>Collaborate with applied scientists and data scientists to translate models, frameworks, and analytical outputs into usable tools and experiences.
</li></ul><br>
<ul><li>Contribute to the architecture and design of EXA's agent ecosystem &mdash; how agents surface insights, how they interact with users, and how they connect to underlying data infrastructure.
</li></ul><br>
<ul><li>Write code that meets the Amazon Code Bar: well-written, maintainable, robust, secure, efficient, tested, and operable.
</li></ul><br>
<ul><li>Participate in the full software development lifecycle &mdash; scoping, design, code, testing, deployment, and operational support.
</li></ul><br>
<ul><li>Help the team learn what works by building things, testing them, and sharing what you find.
</li></ul><br>
About the team<br>
Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, has not followed a traditional path, or includes alternative experiences, do not let it stop you from applying.
<br>
<br>
Mentorship and Career Growth We are continuously raising our performance bar as we strive to become Earth's Best Employer. That is why you will find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there is nothing we cannot achieve in the cloud.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Experience building software that interacts with data systems (databases, pipelines, APIs, or data platforms)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building conversational interfaces, agent-based systems, or AI-powered tools</li><li>Experience with front-end development (React or similar frameworks) alongside backend/infrastructure work</li><li>Experience with Python and cloud-based data infrastructure (AWS services preferred)</li><li>Familiarity with ML model serving, NLQ interfaces, or knowledge base architectures</li><li>Experience working in research or analytics teams where requirements emerge from discovery rather than predefined specifications</li><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, NY, New York - 158,100.00 - 213,800.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

SDE II, Experience Analytics (Agent Experiences & Data Products)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Job Summary for SDE II - DynamoDB Capacity and Customer Entitlement Team<br>
<br>
Join the DynamoDB Capacity and Customer Entitlement (CCE) team and help scale one of the world's largest distributed database services, managing massive global infrastructure across AWS regions. As an SDE II, you'll design and build production systems that optimize capacity planning and fleet scaling for DynamoDB's infrastructure, directly impacting millions of customers worldwide.<br>
<br>
In this role, you'll own end-to-end software solutions that balance customer demand with infrastructure efficiency across multiple DynamoDB fleets (Load Balancing, Routing, Storage, Log Propagation, Backup/Restore, Replication). You'll work on challenging distributed systems problems, building automated scaling algorithms, capacity management tools, and operational workflows that enable DynamoDB to maintain its industry-leading performance and availability while optimizing 9-figure infrastructure investment.<br>
<br>
What makes this role exciting:<br>
<br>
<ul><li>Design and develop production systems for capacity automation that directly influence DynamoDB's 9-figure CapEx planning and operational efficiency</li><li>Exercise the full software development lifecycle, from initial design and architecture through implementation, testing, and production launch</li><li>Gain deep systems understanding across DynamoDB's entire architecture, building solutions that integrate with every component from routing to storage to backup and restore systems</li><li>Develop and apply best practices for leveraging AI coding tools to accelerate development velocity and improve code quality across the team</li><li>Build machine learning-integrated prediction systems that predict demand patterns and optimize capacity allocation across global infrastructure</li><li>Partner with DynamoDB leadership and cross-functional teams to shape the technical direction of capacity management for one of AWS's most critical services</li><li>Contribute to a culture of innovation where your engineering solutions can transform how Amazon manages infrastructure at planetary scale</li></ul><br>
You'll thrive here if you:<br>
<ul><li>Love solving complex distributed systems problems that require strong software engineering fundamentals and systems thinking</li><li>Want to see the direct business impact of your code measured in operational efficiency and cost optimization</li><li>Enjoy building deep technical understanding of large-scale architecture and how components integrate end-to-end</li><li>Are excited about exploring AI-assisted development tools while maintaining focus on core software engineering excellence</li></ul><br>
Key job responsibilities<br>
As a Software Development Engineer II on the DynamoDB Capacity and Customer Entitlement team, you will:<br>
<br>
<ul><li>Design, implement, and maintain production-grade capacity management systems that optimize fleet scaling across DynamoDB's AWS regions and multiple fleets (Load Balancing, Routing, Storage, Log Propagation, Backup/Restore, Replication)</li><li>Own the full software development lifecycle, from design documents through implementation, testing, deployment, and operational support for capacity automation projects</li><li>Build automated workflows that process customer capacity requests, achieving high auto-approval rates while optimizing DynamoDB's infrastructure investment</li><li>Develop integration points across DynamoDB's architecture, gaining deep systems understanding from load balancing through storage and replication</li><li>Create monitoring, alerting, and observability solutions that provide visibility into capacity health, utilization patterns, and optimization opportunities across global infrastructure</li><li>Participate in on-call rotations, resolve operational issues with long-term fixes, and drive continuous improvement initiatives</li><li>Partner with DynamoDB service teams, product managers, and leadership to align technical solutions with business objectives</li><li>Mentor junior engineers through code reviews and design discussions while developing best practices for leveraging AI coding tools</li><li>Influence technical direction through architecture discussions and strategic planning sessions</li></ul><br>
A day in the life<br>
You'll start your day writing code, building automation workflows, developing ML-integrated forecasting systems, or creating data pipelines that analyze capacity utilization patterns. You'll collaborate with DynamoDB service teams (storage, routing, replication) to design integration points and partner with product managers on strategic planning. Your customers are millions of DynamoDB users who need reliable capacity and internal AWS teams requiring efficient resource allocation. Some days bring on-call operational challenges; others focus on innovation and prototyping new solutions. You'll balance software development with mentoring engineers, conducting design reviews, and documenting your work to scale knowledge across the team.<br>
<br>
About the team<br>
The DynamoDB Capacity and Customer Entitlement (CCE) team is responsible for ensuring one of AWS's most critical services has the infrastructure capacity to serve millions of customers reliably while optimizing CapEx investments. Our mission is to build intelligent automation systems that balance customer demand with operational efficiency across all DynamoDB fleets. We're a collaborative, engineering-focused team that values innovation, operational excellence, and continuous learning. You'll work alongside experienced engineers and data scientists who are passionate about solving complex distributed systems problems at planetary scale. We embrace AI-assisted development tools, encourage experimentation, and believe in scaling impact through mentorship and knowledge sharing. Our culture emphasizes ownership, technical depth, and seeing the direct business impact of our work.<br>
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
<br>
<br>
Inclusive Team Culture Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
<br>
<br>
Mentorship &amp; Career Growth We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>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</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer II, DynamoDB

Data Scientist, Product Analytics

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.<br>
<br>
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.<br>
<br>
Key job responsibilities<br>
<ul><li>Data Scientist II on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics</li><li>Conceptualize and drive strategic growth areas: retention, voice + visual engagement, experimentation, Gen AI initiatives, and product excellence.</li><li>Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance</li><li>Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership</li><li>Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics</li><li>Develop structural and predictive models using data science workflows to deliver measurable customer results</li></ul><br>
A day in the life<br>
<ul><li>Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders</li><li>Conduct experimentation, build causal models to better understand key drivers for customer retention
</li><li>Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces</li><li>Partner with product managers to translate business questions into actionable science projects</li><li>Influence product roadmaps through data-driven insights on customer behavior patterns</li><li>Identify and resolve customer experience friction points with cross-functional teams</li><li>Drive adoption of best practices and innovative solutions across the organization</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, Amazon Music - DISCO

<div>
 As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 <br/>
 <br/>
 Data Engineer, Product Analytics Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  </li>
  <li>
   Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  </li>
  <li>
   Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  </li>
  <li>
   Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  </li>
  <li>
   Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  </li>
  <li>
   Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  </li>
  <li>
   Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  </li>
  <li>
   Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  </li>
  <li>
   Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  </li>
  <li>
   Influence product and cross-functional teams to identify data opportunities to drive impact
  </li>
  <li>
   Mentor team members by giving/receiving actionable feedback
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  </li>
  <li>
   4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  </li>
  <li>
   4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Master's or Ph.D degree in a STEM field
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $147,000/year to $208,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Data Engineer, Product Analytics

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS is seeking a Big Data Support Engineer for the Galaxi Data Platform Team in the AWS Sales, Marketing, &amp; Global Services (SMGS) org.<br>
<br>
We, the Galaxi Data Platform Team, are in the business of helping our customers securely, conveniently, and quickly manage and gain insights into the organization&rsquo;s Sales and Marketing data at scale. We are looking for a driven and results-oriented engineer who can support services, that enable customers to self-serve data access for analytics and transaction systems on a multi-petabyte data lake. The ideal candidate thrives in a fast-paced environment, relishes working with big data technologies, and enjoys the challenge of complex business contexts that are typically being defined in real-time.<br>
<br>
The ideal candidate will be motivated, have strong attention to detail, and will model Amazon Leadership Principles. A familiarity with AWS technologies including S3, Glue, LakeFormation, Redshift as well as other no-SQL solutions which form the foundation of these systems is an asset.<br>
<br>
Key job responsibilities<br>
<ul><li>Work closely with multiple data platform teams focused on data engineering, analytics, orchestration and ETL tools, to build highly scalable systems and manage operations.</li></ul><br>
<ul><li>Interface with globally dispersed data consumers to maintain overall health and stability of systems.</li></ul><br>
<ul><li>Work closely with multiple engineering teams and product teams to implement automated solutions across a variety of applications and systems.</li></ul><br>
<ul><li>Possess good technical knowledge in Infrastructure, Operational Excellence, System Tuning, and Monitoring.</li></ul><br>
<ul><li>Participate in design reviews for complex systems.</li></ul><br>
<ul><li>Perform root cause analysis and drive process and service improvements as a result.
</li></ul><br>
<ul><li>Document frequently occurring issues and report them to SMEs.</li></ul><br>
<ul><li>Resolve customer tickets related to access provisioning, account vending and data onboarding.</li></ul><br>
A day in the life<br>
As a Big Data Support Engineer, you will work closely with our customer teams focused on data engineering, analytics, orchestration and ETL tools, to build highly scalable systems and manage operations of the Data Platform including monitoring its overall health and stability. The perfect candidate will be a customer obsessed engineer who possesses good technical knowledge in Infrastructure, System Tuning, Troubleshooting, Debugging and Monitoring. You will have the opportunity to implement automated solutions across a variety of applications and systems.<br>
<br>
About the team<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
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AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience troubleshooting and debugging technical systems</li><li>Bachelor's degree or foreign equivalent in computer science, engineering, mathematics or equivalent</li><li>1+ years of progressive experience in support engineering or software development or a related field</li><li>1+ year of experience with at least one scripting language such as JavaScript, Python, Ruby or similar</li><li>1+ year of experience writing SQL queries including but not limited to using joins, aggregate functions and window functions</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in systems patching and maintenance</li><li>Experience with ETL processes</li><li>Experience with AWS services and Linux operating systems</li><li>Experience in automation with CI/CD, Data Quality Management and Operations</li><li>Good understanding of systems monitoring, debugging and troubleshooting</li><li>Excellent technical knowledge in building and deploying cloud applications</li><li>1+ year of experience/understanding of AWS technologies such as S3, Glue, LakeFormation, Redshift or similar big data technologies</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, TX, Dallas - 74,700.00 - 130,700.00 USD annually<br>
USA, WA, Seattle - 80,200.00 - 130,700.00 USD annually</div><p></p>

Big Data Support Engineer, SMGS Ops - DP&I - Data Platform

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through 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.<br>
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We are seeking a technical leader for our Search Thematic Advertising Experiences team to lead a multi-disciplinary team of science and engineering. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.<br>
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Key job responsibilities<br>
Search Thematic Advertising Experiences , within Sponsored Products, is seeking an Applied Science Manager to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model&ndash; and leveraging this knowledge to help turn the flywheel of the business.<br>
As an Applied Science Manager on this team you will:<br>
<ul><li>-Lead a multi-disciplinary team of applied scientists and engineers.
</li><li>-Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.</li><li>-Lead technical efforts within this team and across other teams.</li><li>-Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.</li><li>-Run A/B experiments, gather data, and perform statistical analysis.</li><li>-Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.</li><li>-Work closely with software engineers to assist in productionizing your ML models.</li><li>-Research new machine learning approaches.</li><li>-Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.</li></ul><br>
A day in the life<br>
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.<br>
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About the team<br>
We are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of applied research experience</li><li>3+ years of scientists or machine learning engineers management experience</li><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Knowledge of ML, NLP, Information Retrieval and Analytics</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, NY, New York - 202,200.00 - 273,600.00 USD annually<br>
USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually</div><p></p>

Applied Science Manager, Sponsored Products

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