aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

business intelligence engineer, amazon music disco

category management project intern (tiktok shop - operation center) - 2026 start (bs/ms)

software engineer

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

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

aws data engineer

business intelligence engineer, amazon music disco Jobs in Seattle

data pipeline engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The PXT Central Science team is looking for a Data Engineer. This individual will join a team of economists and scientists to own and accelerate science and analytics in our rapid employee intelligence workstream. This suite of models identifies causal factors driving changes in employee sentiment, actions, and business outcomes. 
 
Key job responsibilities 
PXTCS is looking for a data engineer with expertise in complex data environments. You will be responsible for enhancing our existing data architecture to further standardize metrics and definitions, building and testing new features, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with economists, data scientists, and software engineers to translate data into actionable insights. Specific responsibilities include: 
<ul><li>Data Pipeline Development: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); build monitoring and error handling for data workflows; optimize performance, reliability, and cost efficiency</li><li>Model Productionization &amp; API Development: Develop and maintain APIs and data serving layers that productionize science models for downstream consumption; build batch and real-time inference pipelines</li><li>Data Integration &amp; Quality: Build scalable feature extraction and processing frameworks for diverse data types; develop robust data quality and validation checks; create flexible schemas supporting evolving requirements</li><li>Cross-team Collaboration: Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions</li><li>Analytics &amp; Infrastructure: Maintain layered data systems used by economists and scientists; build automated reporting solutions; work across multiple interconnected AWS accounts with security best practices</li></ul> 
About the team 
The Central Science Team within Amazon&rsquo;s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, engineering, and UX to develop and deliver solutions that measurably achieve this goal.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Knowledge of professional software engineering &amp; best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li><li>3+ years of data engineering experience</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li></ul> 
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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco 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&rsquo;re applying in isn&rsquo;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 &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. 
USA, CA, San Francisco - 152,000.00 - 205,600.00 USD annually 
USA, MA, Boston - 132,100.00 - 178,800.00 USD annually 
USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually 
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, PXT Central Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Compensation Data team is looking for Data Engineer (DE) to join our team for modernizing data warehouses serving business intelligence, data science and AI customers globally. Your role will involve designing, implementing, and supporting scalable solutions for metadata management, data pipeline orchestration, ETL, data modelling and data visualization with the tools available from AWS &ndash; including Sage Maker Unified Studio, Redshift, Glue, S3, IAM, Cloudwatch, and Apache Airflow. As DE you will be managing data infrastructure ,building automated CDK based solution. You will work with stakeholders to gather requirements for data logging,storing,transforming and reporting. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize 
these datasets to answer business questions and drive for best-in-class analytics, dashboard design and new innovative approaches.The ideal candidate will be entrepreneurial and innovative, thriving on solving challenging, ambiguous problems 
 
Key job responsibilities 
Lead the modernization of one of compensation data warehouses serving customers globally. As a Data Engineering, you'll architect scalable data infrastructure solutions, partner with business, product, and data science teams to deliver analytics and insights that drive day-to-day decision-making across the organization. 
 
A day in the life 
What you'll do: 
Build end-to-end systems from ideation, experimentation through production deployment 
Design and implement AI agents that automate complex decisions 
Work directly with customer teams to identify automation opportunities and measure impact 
Own the full project lifecycle: data pipelines, deployment, and monitoring<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>5+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li><li>Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Finance or related field.</li><li>Hands on experience with Python/Scala, writing complex data transformations in spark and automating pipelines.</li><li>Comfortable using AWS services such as EMR(Hive/Spark), Redshift, S3, Glue, Cloudformation.</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
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 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. 
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. 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, Compensation, CPSA

Vibotek LLC

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 1. Ingest and process data from Salesforce (Investments), Dynamics 365 &amp; Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education).
 </li>
 <li>
 2. Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML.
 </li>
 <li>
 3. Design simple, reusable data models to support training and inference.
 </li>
 <li>
 4. Implement data quality tests, documentation, and lineage in DBT
 </li>
 <li>
 5. Ensure performance optimization, cost efficiency, and compliance with governance standards.
 </li>
 <li>
 6. Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets.
 
 
 </li>
 </ul>
 
 Requirnments
 
 
 
 <ul>
 <li>
 1. &lrm;Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
 </li>
 <li>
 2. Strong background in ETL/ELT pipeline development.
 </li>
 <li>
 3. Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
 </li>
 <li>
 4. Solid SQL and Python skills; knowledge of data quality frameworks.
 </li>
 </ul>
</div>

Data Engineer

Rocket

<div>As a Data Engineer II, you will share ownership of Redfin&rsquo;s Data Platform, owning business critical data integrations and operational excellence. You will work closely with Engineering and Analytics teams to create and support data pipelines and transformations. The ideal candidate is a data pipeline builder who enjoys optimizing existing systems as well as building new systems from the ground up. We are also looking for someone who is self-directed and comfortable supporting the data needs of multiple systems and teams. 
About the Role<ul><li>
Design, develop, and support complex data pipelines from a wide variety of data sources for Redfin</li><li>
Work with other Engineering teams to design and implement data exchange systems from structured and unstructured data sources</li><li>
Work with end users to gather requirements and design solutions that provide the the data they need in the format they need it in</li><li>
Ensure 100% accuracy in everything you do - make sure that all code and processes are fully tested and verified before running in production</li><li>
Identify and implement internal process improvements by automating manual processes and optimizing for accuracy, performance and coding best practices</li><li>
Support and maintain dev / test / prod environments</li><li>
Serve as part of weekly on call rotation</li></ul>
About You<ul><li>
3+ years experience with a modern programming language (Python, Java, etc). Python is preferred</li><li>
3+ years experience with complex SQL, data modeling and database technologies (Postgres, MySQL, Snowflake, etc). Snowflake is preferred</li><li>
Experience creating and maintaining complex data pipelines</li><li>
Experience with batch and streaming data pipelines</li><li>
Experience with both structured and unstructured data sets</li><li>
Ability to translate business needs into technical requirements</li><li>
Experience with Git / Jenkins / Airflow / Docker / Kubernetes / Spark is a plus</li><li>
Experience with API development is a plus</li><li>
Experience with cloud services (AWS / Azure / GCP) is a plus. AWS is preferred</li><li>
Ability to structure data to make it accessible, performant, and resilient to change</li><li>
Experience with message queuing and stream processing data is a plus</li><li>
Ability to handle ambiguity and function in a fast paced, constantly changing environment</li><li>
Ability to communicate well with both technical and non technical users</li></ul>
What you&rsquo;ll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We&rsquo;ve got your back. Check out our full list of Benefits and Perks.
About us
Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing great work in a collaborative environment, join our team!
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $119,900.00-$162,200.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company&rsquo;s current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.</div>

Data Engineer II

BCforward

<div>
 
 
 BCForward is currently seeking a highly motivated AWS Data Engineer for an On-site opportunity in Seattle, WA
 
 
 
 
 
 
 
 Role: AWS Data Engineer
 
 
 
 
 Duration: 6+ months
 
 
 
 
 Locations: Seattle, WA
 
 
 
 
 
 
 
 Anticipated Start Date:
 
 04/13/2026
 
 
 
 Job Type:
 
 Contract &ndash; Onsite
 
 
 
 
 
 We are looking for an AWS Data Engineer with strong experience in building and managing data solutions on AWS.
 
 
 
 
 
 
 Key Skills:
 
 AWS (EC2, S3, RDS, VPC), Python, Redshift (Must Have), AWS Glue, Athena, Lambda
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data pipelines and AWS infrastructure
 </li>
 <li>
 Work with Redshift for data warehousing and querying
 </li>
 <li>
 Use Glue, Athena, and Lambda for data processing and automation
 </li>
 <li>
 Support cloud deployments, monitoring, and troubleshooting
 </li>
 <li>
 Ensure security and compliance standards are followed
 </li>
 <li>
 Assist in migrating data and applications to AWS
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 BCforward offers all eligible employees a comprehensive benefits package, including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 
 
 
 
 
 
 About BCforward:
 
 
 
 Founded in 1998 on the idea that industry leaders needed a professional service and workforce management expert to
 
 
 fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
 
 
 unique solutions supporting value capture and digital product delivery needs for organizations around the world.
 
 
 Headquartered in Indianapolis, IN, with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
 
 
 Consultants support more than 225 clients globally.
 
 
 BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our
 
 
 With core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients
 
 
 achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to
 
 
 become a market leader and best in class place to work.
 
 
 BCforward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
 
 
 To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 
 
 This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will, regardless of the anticipated assignment duration.
 
</div>

AWS Data Engineer

Apple

<div>Do you want to play a part in the next revolution in Foundation Models? Contribute to model hillclimbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done - just by asking or typing? 
 
The vision for the AI/ML FM Data organization is to improve Foundation Models by leveraging data from a variety of sources: crawl, license, vendor and internal crowd-sourcing. As a Sr Software Engineering on the team, you will drive backend innovations, identify key opportunity areas where data can play a crucial role and experiment with various data augmentation strategies to improve model training efficiency and performance.. 
 
Description 
 
We are looking for people with a track record in building scalable pipelines and services. Join us, and impact hundreds of millions of customers across billions of their interactions with foundation model powered Apple Intelligence features, that are available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and tv across more than 30 languages! 
 
As a Sr Backend Software engineer, you will be responsible for the following areas. 
 
<ul><li>Training data pipeline development. Convert raw data into format acceptable by training jobs on GCP and AWS. Leverage internal and open-sourced training modules.</li></ul> 
<ul><li>Large scale inferences: Leverage internal and open-sourced inference stack to generate inferences with fine-tuned LLMs on massive amounts of data, for pre-train and post-training</li></ul> 
<ul><li>Data processing and data filtering: Have the ability to efficiently process and filter very large amounts of data, often times messy.</li></ul> 
<ul><li>Scalable web services backend and APIs to support data access and data inspection tools</li></ul> 

Preferred Qualifications 
 
Familiarity with streaming-processing (Kafka). Familiarity with a variety of build tools (Jenkins, Maven, Docker, Gradle). 
 
Experience providing architecture and design guidance. 
 
A good communicator with clear and concise, active listening and empathy skills. 
 
Are self-motivated and curious. Strive to continually learn on the job. 
 
Have demonstrated creative and critical thinking with an innate drive to improve how things work. Have a high tolerance for ambiguity. 
 
Minimum Qualifications 
 
BS in Computer Science or Equivalent. 
 
10+ years of programming experience in Python. Extensive experiences in concurrency and parallelism, functional programming, decorators. Familiarity in other programming languages (Java/GoLang/Rust/Swift). 
 
Proficient in REST API, Redis, VectorDB or other large scale data storage systems. 
 
Solid foundational programming skills (algorithms, data structures, OOP, etc). 
 
Experience designing, writing, reviewing, testing and delivering software for applications and systems at scale. 
 
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 . 
 
Pay &amp; 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 $139,500 and $258,100, 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.</div>

AIML - Sr Backend Engineer, Data and ML Innovation

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon&rsquo;s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers&rsquo; businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon&rsquo;s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
 
 
AWS Physical AI is building the platform that helps companies developing autonomous systems validate their safety-critical applications. Our team builds solutions that automate the creation of test scenarios, generate synthetic sensor data, and enable simulation-based validation &mdash; covering edge cases and boundary conditions that are difficult to capture through real-world data collection alone. 
 
Physical AI spans the full lifecycle of autonomous systems development &mdash; from data curation and model training through simulation-based validation and deployment monitoring. As a Software Development Engineer on the Physical AI team, you'll work across this stack, building core capabilities that transform operational design specifications into realistic synthetic scenarios, sensor data, and validation workflows. 
 
You'll work with generative AI models trained on real-world operational data to create realistic agent behaviors, object interactions, and environmental conditions that systematically explore safety-critical situations. Your work will directly enable validation engineers at companies building autonomous systems to achieve comprehensive test coverage that previously required months of manual effort. 
 
The Physical AI team builds simulation, synthetic data, and validation tooling that enables autonomous systems to be tested systematically and safely before deployment. We work across the full Physical AI lifecycle &mdash; data curation, scenario generation, simulation, and deployment monitoring. Our team collaborates closely with Applied AI Solutions teams (IoT, Digital Twin, Spatial/Geospatial), SageMaker teams for model development, and leading simulation platform providers. We value technical excellence, customer obsession, and systematic problem-solving. You'll have opportunities to shape the future of autonomous systems validation, work with generative AI technologies, and deliver measurable impact to customers deploying safety-critical autonomous systems at scale. 
 
Key job responsibilities 
Design and implement scenario generation pipelines that transform operational design specifications into diverse scenario variations with comprehensive coverage analysis. Build generative AI model integration layers that leverage real-world operational data to create realistic behaviors while maintaining physical plausibility constraints for agent dynamics, sensor characteristics, and environmental physics. Develop export connectors for industry-standard simulation platforms that handle format compatibility, authentication, and data transfer. 
 
Create synthetic sensor data generation systems that produce multi-modal outputs (MP4 video, PCD/LAS point clouds, radar data) with accurate sensor characteristics and metadata tracking for validation traceability. Implement coverage analysis algorithms that identify gaps in generated scenario distributions and recommend generation parameters to achieve systematic coverage. Integrate with SageMaker for perception model training workflows and visualization tooling for validation coverage reporting. 
 
A day in the life 
You'll start your morning reviewing generation quality metrics from customer validation campaigns, analyzing scenario success rates and identifying opportunities to improve edge case coverage. You'll participate in a design review for the next iteration of a specification parser, discussing how to handle region-specific rules and regulatory requirements. Mid-morning, you'll pair program with a teammate on implementing physics-based validation checks that verify generated scenarios meet dynamics constraints and behavioral plausibility. After lunch, you'll join a customer call to understand their specific validation challenges and gather requirements for specialized sensor modalities. You'll spend the afternoon optimizing a generation pipeline for scalability, balancing generation quality with compute costs for large scenario volumes. You'll end the day mentoring a junior engineer on generative AI model integration patterns and reviewing pull requests for the simulation platform connector framework. 
About the team 
 
About the team 
ABOUT AWS: 
Diverse Experiences
 
Amazon 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.
 
 
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. 
 
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship and 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.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
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&rsquo;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&rsquo;re applying in isn&rsquo;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 &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. 
USA, CA, Mountain View - 165,200.00 - 223,600.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, Applied AI Solutions

Explore 242+ Data pipeline engineer in Seattle this May. Find roles across top companies and apply now to boost your career.