aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

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

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

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

analytics data engineer

data engineer ii prime video advertising

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?<br>
<br>
As part of the Prime Video team, you&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. Also, you&rsquo;ll get to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you!<br>
<br>
We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team. In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS technologies and Amazon&rsquo;s internal tools, you will handle data ingestion, transformation, integration, and ensure high standards of data quality through validation, cleansing, and deduplication.<br>
<br>
You will also be responsible for architecting high-performance, scalable, and cost-efficient big data processing and storage solutions, automating infrastructure with CI/CD principles, and optimizing data models to drive efficient ETL processes. You will be interfacing with several key services and APIs, write code and build applications in a scalable manner to extract, process, ingest unstructured data in a streaming, batch and asynchronous fashion.<br>
<br>
Your role will also focus on data governance, ensuring compliance with policies, implementing access controls, encryption, retention, and audit mechanisms. Additionally, you will work on continuous improvement by automating processes and adopting the latest data engineering technologies. Collaboration with Data Scientists, Business Intelligence Engineers (BIEs), Software Development Engineers (SDEs), Product Managers (PMs), and functional managers will be key to delivering tailored data solutions.<br>
<br>
You'll also manage diverse technologies such as Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to build a scalable platform that supports analytics and experimentation. The ideal candidate must be customer-obsessed with a passion for advertising, able to synthesize a variety of technologies, and effectively lead complex projects.<br>
<br>
In this position, your attention to detail and dedication to high-quality, well-documented data products will empower stakeholders to make better, data-driven decisions.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and implement scalable, fault-tolerant data pipelines using AWS technologies and internal Amazon tools to extract, transform, and load data from multiple sources.</li><li>Collaborate cross-functionally with BIEs, Data Scientists, PMs, and SDEs to understand data requirements and deliver customized data solutions.</li><li>Automate infrastructure deployment with CI/CD pipelines and ensure streamlined processes for deployment and maintenance.</li><li>Ensure data quality through robust validation, cleansing, and deduplication techniques.</li><li>Implement data governance standards, including access control, encryption, data retention, deletion policies, and audit mechanisms to ensure compliance and security.</li><li>Continuously improve and optimize data pipelines and infrastructure, staying up to date with emerging technologies and implementing automation and monitoring tools.</li><li>Build a scalable and reliable data platform supporting analytics and experimentation for intuitive, self-service data products.</li><li>Write high quality code and build scalable applications that interface with critical services and APIs to extract and process unstructured data</li><li>Work with a range of data technologies, including Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to create end-to-end pipelines that consolidate data from disparate systems.</li></ul><br>
About the team<br>
Prime Video Advertising - Data Engineering(&ldquo;PVA-DE&rdquo;) team is a central data and analytics team within the PV-Ads org that plays a pivotal role in fueling the worldwide growth of Amazon&rsquo;s video advertising business. We own data platform, reporting, dashboards, measurement, and analytical solutions for PV Ads.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></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><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 - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer II, Prime Video Advertising

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Come build the future of entertainment with us. Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies, all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events.<br>
<br>
Prime Video's Cross Functional Central Program Team is seeking a Senior Technical Program Manager to lead complex, cross-organizational programs that drive Prime Video's technology and product evolution. This role operates across multiple organizations, delivering initiatives where the problem and strategy may not yet be fully defined. You will use your expertise and judgment to determine the right goals, design long-term solutions, and align stakeholders to deliver outcomes with meaningful customer and business impact.<br>
<br>
As a Senior TPM, you will lead programs that sit across domains including Client Customer Experience (CX), Personalization and Discovery, Commerce, and Beta initiatives. You will partner with engineering, product, science, and business leaders across Prime Video to drive technical decisions, simplify complex problem spaces, and deliver solutions that leverage ML/AI capabilities to advance our mission of being the first-stop entertainment destination for hundreds of millions of customers worldwide.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead and deliver complex programs with cross-organizational impact, operating across multiple organizations within Prime Video</li><li>Drive clarity in ambiguous spaces where the problem, strategy, and solution path may not yet be fully defined</li><li>Define program scope, requirements, and long-term plans for initiatives with high leadership visibility</li><li>Identify gaps and risks across systems and teams; design simplified solutions that address constraints and deliver the best outcome</li><li>Drive technical decisions and architectural trade-offs across engineering teams, representing benefits and challenges of each approach</li><li>Partner with science and engineering teams to integrate ML/AI capabilities into cross-domain programs</li><li>Influence stakeholders and partner teams through data-driven judgment to align on the right goals and priorities</li><li>Build consensus across organizations, presenting complex decisions and trade-offs clearly to senior leadership</li><li>Establish and drive program mechanisms that ensure consistent delivery and long-term operational excellence</li><li>Clear roadblocks with the right resources, escalating when appropriate to maintain program momentum</li><li>Simplify and drive the use of best practices across the TPM and engineering communities</li><li>Mentor and develop other TPMs on the team</li></ul><br>
A day in the life<br>
Your primary focus is driving complex, cross-team programs from ambiguity to delivery. On any given day, you might be defining requirements with engineering leads, clearing roadblocks across partner teams, or presenting program trade-offs to senior leadership. You will work closely with science and product teams to integrate ML/AI capabilities into customer-facing experiences. You will balance tactical execution with strategic thinking, making trade-offs between short and long-term needs. Beyond program delivery, you will contribute to team mechanisms, mentor other TPMs, and help shape how we operate as a central program team.<br>
<br>
About the team<br>
The Cross Functional Central Program Team drives Prime Video's most critical, ambiguous, and complex initiatives across the organization. We are not embedded within any single team. Instead, we operate across organizational boundaries, partnering with engineering, product, science, and business stakeholders to deliver outcomes for hundreds of millions of customers worldwide. Our mission is to accelerate Prime Video's ability to deliver at scale through central mechanisms like Operational Planning and AI Adoption. We remove roadblocks, manage alignment across leadership, and obsess over Deliver Results, Ownership, Bias for Action, Invent and Simplify, Disagree and Commit, and Earn Trust.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of technical product or program management experience</li><li>3+ years of software development experience</li><li>5+ years of technical program management working directly with software engineering teams experience</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li><li>Experience building and evaluating system-level technical design</li><li>Experience developing and executing/delivering product and technical roadmaps</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience</li><li>Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership</li><li>Experience with AI/ML 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>
<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 - 148,700.00 - 201,200.00 USD annually</div><p></p>

Snr TPM, Prime Video & Studios CoreTech Central Team, Prime Video & Studios CoreTech Central Team

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you interested in shaping the future of Advertising and B2B Sales? We are a growing team with an exciting AI-first charter and need your passion, innovative thinking, and creativity to help take our products to new heights.<br>
<br>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We break fresh ground in product and technical innovations every day!<br>
<br>
Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top Applied Science talent to help us build new, science-backed services that drive success for our customers. Our goal is to transform the way account teams operate by creating actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end-to-end workflows to improve their work efficiency.<br>
<br>
As an Applied Scientist on the team, you will bring deep expertise in modeling dynamic systems using statistical methods and deep learning, and in optimizing those systems using reinforcement learning and operations research. You have the scientific and technical skills to build and refine models that can be implemented in production, and you leverage natural language processing and generative AI to enhance their explainability. You will chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. You will be part of a team of fellow scientists and engineers taking iterative approaches to tackle big, long-term problems. You are fluently able to leverage the latest generative AI systems and services to accelerate and improve your work while maintaining high quality in your outputs.<br>
<br>
Key job responsibilities<br>
Scientific Modeling<br>
<ul><li>Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business</li><li>Lead the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects</li><li>Run regular A/B experiments, gather data, and perform statistical analysis</li><li>Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving</li><li>Publish scientific findings in reports and papers that can be shared internally and externally</li></ul>
Product Development Support<br>
<ul><li>Partner with software engineering and product management teams to support product and service development, define success metrics and measurement approaches, and help drive adoption of innovative new features for our services.</li><li>Lead requirements gathering sessions with product teams and business stakeholders</li><li>Maintain scientific documentation and knowledge for product initiatives</li></ul>
Collaboration &amp; Communication<br>
<ul><li>Work closely with software engineers to deliver end-to-end solutions into production</li><li>Translate complex scientific findings into actionable business recommendations for stakeholders and senior management</li><li>Provide clear, compelling reports and presentations on a regular basis with respect to your models and services</li><li>Communicate with internal teams to showcase results and identify best practices.</li></ul><br>
About the team<br>
Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</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 - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Sales AI

TikTok

<div>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Team Introduction:
 <br/>
 <br/>
 As a data engineer in the Data Platform E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
 <br/>
 <br/>
 Online Assessment
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 <br/>
 Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.
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 <br/>
 We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
 <br/>
 <br/>
 Internships at Our Company aims to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.
 <br/>
 <br/>
 Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
 <br/>
 <br/>
 <strong>
  Summer Start Dates
  <br/>
  <br/>
 </strong>
 May 11th, 2026
 <br/>
 <br/>
 May 18th, 2026
 <br/>
 <br/>
 May 26th, 2026
 <br/>
 <br/>
 June 8th, 2026
 <br/>
 <br/>
 June 22nd, 2026
 <br/>
 <br/>
 <strong>
  Responsibilities - What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis);
  </li>
  <li>
   Design and implement reliable, scalable, robust and extensible big data systems that support core products and business;
  </li>
  <li>
   Establish solid design and best engineering practice for engineers as well as non-technical people.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Currently pursuing an Undergraduate/Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  </li>
  <li>
   Able to commit to working for 12 weeks during Summer 2026
  </li>
  <li>
   Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.);
  </li>
  <li>
   Experience with performing data analysis, data ingestion and data integration;
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications
 <br/>
 <br/>
 <ul>
  <li>
   Experience with ETL(Extraction, Transformation &amp; Loading) and architecting data systems;
  </li>
  <li>
   Experience with schema design, data modeling and SQL queries;
  </li>
  <li>
   Passionate and self-motivated about technologies in the Big Data area.
   <br/>
   <br/>
  </li>
 </ul>
 Job Information
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 【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
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 <br/>
 The hourly rate range for this position in the selected city is $42.75- $42.75.
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 <br/>
 Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
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 <br/>
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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 <br/>
 <strong>
  For Los Angeles County (unincorporated) Candidates
  <br/>
  <br/>
 </strong>
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
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 <br/>
 <ul>
  <li>
   Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  </li>
  <li>
   Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
  </li>
  <li>
   Exercising sound judgment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About TikTok
  <br/>
  <br/>
 </strong>
 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
 <br/>
 <br/>
 Why Join Us
 <br/>
 <br/>
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
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 <br/>
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 <br/>
 <br/>
 Diversity &amp; Inclusion
 <br/>
 <br/>
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 <br/>
 <br/>
 TikTok Accommodation
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 <br/>
 TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
</div>


Data Engineer Intern (E-commerce) - 2026 Summer (BS/MS)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Want to help drive the success of Machine Learning technologies at AWS? We seek a Software Development Engineer II for the ML Infrastructure team to build the platforms that guarantee top performance of AWS ML and HPC technologies. Our performance data directly influences launch<br>
decisions for new EC2 instance types and has visibility at senior leadership.<br>
<br>
Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA). You'll build CI/CD systems, orchestrate GPU clusters, create performance dashboards, and develop AI-powered automation - all to ensure latest ML networking software ships with confidence.<br>
<br>
Key job responsibilities<br>
Build and maintain infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale across multiple GPU instance types. Use Jenkins, internal Amazon CI/CD tools, Linux, and public AWS products to automate testing and delivery of ML networking libraries - including collective communication frameworks, network transport layers, and GPU communication libraries. Write Python code that orchestrates large clusters, runs benchmarks and ML applications across a matrix of instance types, operating systems, and<br>
software stack versions. Use AWS Managed Grafana and Athena to digest performance data and build dashboards that catch functional and performance regressions before they reach customers. Build automation using LLMs to analyze test failures and surface actionable insights to developers. Contribute to cross-team readiness for new instance type launches by delivering performance data that shapes go/no-go decisions. Manage the complexity of infrastructure covering many instance types, software stacks, Linux operating systems, and latest releases
<br>
and make it easy to evolve.<br>
<br>
A day in the life<br>
You write Python to orchestrate test workloads across large GPU clusters and TypeScript with CDK to ensure all infrastructure is code, reviewed and committed to automated pipelines. You manage shared development clusters using SLURM and AWS ParallelCluster, supporting multiple teams while keeping costs down. You build automation that analyzes nightly test results and surfaces regressions to developers. You write crisp designs for your projects, communicating clearly to your peers what you will build and why.<br>
<br>
About the team<br>
We are part of Annapurna Labs, a subsidiary in AWS that builds software and hardware that make ML on EC2 work. Our organization is a dedicated group of innovators that have invented new networks, new silicon, new software suites, and combined those to entice customers to move immense ML and HPC workloads to the cloud. The ML Infrastructure team is laser focused on making AWS the best and most cost-effective place for customers to do AI at scale. Our work directly enables the launch of new GPU instance types.</p><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></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><li>Experience working with Linux</li><li>Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS</li><li>Experience coding in Python</li><li>Experience with TypeScript and AWS CDK for infrastructure as code</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>
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, Cupertino - 165,200.00 - 223,600.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ML Infrastructure Team

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>The Agentic AI Data Engineer is a hands-on role focused on building and maintaining the data pipelines and infrastructure that fuel AI agent systems. Within TCS&rsquo;s AI &amp; Data group (Americas), you will be the builder who turns data architecture plans into reality, ensuring that AI models and agents have continuous access to high-quality, timely data. This client-facing consulting role involves hybrid work from client site as needed for deployment. You&rsquo;ll work across wide array of business functions within Retail. By combining expertise in data ingestion, transformation, and integration with knowledge of AI data needs, you will play a critical part in enabling AI agents to perform reliably and accurately in production.</div><br>
<div><br>
</div><div>What You Would Be Doing:
</div><div>Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files, streaming sources) relevant to the AI solution.
</div><div>Data Transformation &amp; Processing: Implement transformation and cleaning steps on raw data to make it usable for AI, ensuring efficiency and scalability.
</div><div>Loading Data to Storage/Indices: Set up processes to load processed data into target storage systems that AI agents or models will use.
</div><div>Real-Time Data Feeds: Implement streaming or incremental update pipelines when AI systems require real-time or frequently updated data.
</div><div>Pipeline Automation &amp; Scheduling: Use orchestrators or schedulers to automate the data workflows.
</div><div>Data Integration &amp; API Development: Develop and maintain integration components for real-time data fetching.
</div><div>Collaborate on RAG/Knowledge Base Updates: Work closely with AI Data Architects on implementing RAG updates.
</div><div>Testing and Validation of Data Pipelines: Develop tests and monitoring for your data pipelines.
</div><div>Optimize Pipeline Performance: Profile and optimize data pipelines for speed and resource usage.
</div><div>Documentation and Handover: Document pipeline processes, configurations, and dependencies clearly.
</div><div>Industry-Specific Data Handling: Adapt data engineering to specific domain needs.
</div><div>Collaboration &amp; Agile Implementation: Work as part of an agile product team, collaborating with data architects, AI engineers, and others.
</div><div>Maintain and Evolve Pipelines: Monitor pipelines and handle maintenance post go-live.</div><br>
<div><br>
</div><div>What Skills Are Expected:
</div><div>Programming &amp; Scripting: Strong programming skills, especially in Python, and experience with other languages like SQL.
</div><div>Data Pipeline Development: Practical experience building data pipelines end-to-end.
</div><div>Database and SQL Skills: Proficiency in writing and optimizing SQL queries.
</div><div>Big Data &amp; Distributed Processing: Experience with big data technologies like Apache Spark.
</div><div>Streaming Data Experience: Familiarity with streaming frameworks and tools like Kafka.
</div><div>API Integration and Web Services: Ability to interact with web APIs for data ingestion or extraction.
</div><div>Data Formats and Parsing: Strong understanding of data formats and ability to parse JSON, XML, or custom text formats.
</div><div>DevOps for Data Pipelines: Basic DevOps skills, including using Git for version control and CI/CD pipelines.
</div><div>Problem Solving &amp; Debugging: Strong ability to troubleshoot data issues.
</div><div>Data Quality Focus: Attentiveness to data quality and skills in implementing checks and validating outputs.
</div><div>Collaboration &amp; Commun ication: Good communication skills to work with the team and clients.
</div><div>Time Management &amp; Flexibility: Ability to handle multiple tasks and prioritize effectively.
</div><div>Domain Data Understanding: Aptitude to learn domain context from data.
</div><div>Security &amp; Privacy Business Units: Understanding of handling sensitive data securely in pipelines.
</div><div>Continuous Learning: Willingness to learn new tools or frameworks as needed.</div><br>
<div><br>
</div><div>Key Technology Capabilities:
</div><div>ETL / Data Integration Tools: Experience with tools such as Apache Airflow, Informatica PowerCenter, or cloud-based ones like Azure Data Factory.
</div><div>Big Data Processing: Proficiency in Apache Spark and knowledge of Hadoop HDFS.
</div><div>SQL &amp; Databases: Strong practical SQL skills and familiarity with relational database systems.
</div><div>NoSQL and Other Data Stores: Knowledge of specific systems like MongoDB or Cassandra.
</div><div>Stream Processing: Hands-on usage of Apache Kafka and understanding of consumer group mechanics.
</div><div>Cloud Storage &amp; Compute: Familiarity with cloud storage services like Amazon S3 and cloud compute for ETL.
</div><div>APIs &amp; Web Services: Experience building or using connectors to RESTful APIs.
</div><div>File Formats &amp; Data Serialization: Understanding of various file formats and ability to convert between them.
</div><div>Operating Systems &amp; Scripting: Comfortable with Linux shell and basic shell scripting.
</div><div>Version Control &amp; CI/CD: Using Git for source control and setting up CI pipelines for data projects.
</div><div>Monitoring &amp; Logging Tools: Utilizing monitoring tools for data workflows.
</div><div>Data Visualization/Verification: Basics of tools like Excel or Python&rsquo;s Jupyter notebooks for data sanity checks.
</div><div>Security &amp; Networking: Understanding network configurations for data transfer.
</div><div>Testing Frameworks: Familiarity with PyTest or unittest for writing tests for data transformations.
</div><div>Collaboration Tools: Experience with tools like JIRA and documentation tools.
</div><div>AI/ML Familiarity: Bonus if you understand some AI/ML fundamentals</div><br>
<div><br>
</div><div>Salary Range: 124300-168100 a year
</div><div>#LI-MM6</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>415327</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$124,300-$168,100 a year</div></div></div></div><div></div>

Senior Engineer, AI Data Management

GEICO

<div><p><b>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.</b></p><p><b>
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.</b></p><p></p><p><b>
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.</b></p><p></p><p><b>
Position Summary
</b></p><p>GEICO is seeking an experienced Senior Data Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will play a key role in leveraging modern technologies to enhance our data capabilities, while championing innovation, best practices, and continuous learning.</p><p></p><p><b>
Position Description</b></p><p>
As a Senior Data Engineer, you will work to build and maintain robust data systems that power a state-of-the-art analytics platform. Our team thrives and succeeds in delivering high-quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data pipeline development and data transformation to data storage and processing optimization.</p><p></p><p><b>
Position Responsibilities</b></p><p>
As a Senior Engineer, you will:</p><ul><li>
Scope, design, and build scalable, resilient distributed systems</li></ul><ul><li>
Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services</li><li>
Use your technical expertise to shape product definitions and drive towards optimal solutions</li><li>
Engage in cross-functional collaboration throughout the entire development lifecycle</li></ul><ul><li>
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization</li><li>
Define, create, and support reusable data components and patterns that align with both business and technology requirements</li><li>
Build a world-class analytics platform to satisfy reporting needs</li><li>
Mentor other engineers</li><li>
Consistently share best practices and improve processes within and across teams</li></ul><p></p><p><b>
Qualifications</b></p><ul><li>
Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)</li><li>
Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus</li><li>
Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines</li></ul><ul><li>
Experience with business intelligence tools (Power BI or Superset preferred)</li><li>
Proven understanding of microservices oriented architecture and REST APIs and GraphQL</li><li>
Experience architecting and designing new and current systems</li><li>
Advanced understanding of DevOps concepts including Azure DevOps framework and tools</li><li>
Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions</li><li>
Advanced PowerShell scripting skills</li><li>
Advanced understanding of monitoring concepts and tooling</li><li>
Advanced understanding of security protocols and products</li><li>
In-depth knowledge of CS data structures and algorithms</li><li>
Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)</li><li>
Strong problem-solving ability</li><li>
Ability to excel in a fast-paced environment</li></ul><p></p><p><b>
 Experience</b></p><ul><li>
4+ years of professional experience in data engineering, programming languages and developing with big data technologies</li><li>
3+ years of experience with architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
2+ years of experience in Big-data tools like Spark and Databricks</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or equivalent education or work experience</li></ul><p></p><p><b><br>
Annual Salary</b></p>
$80,000.00 - $215,000.00<p>
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations.</p><br>
<p></p>
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.<p></p><p><b><br>
The GEICO Pledge:</b></p><p></p><p><b>
Great Company:</b> At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.</p><p>
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.</p><p></p><p><b>
Great Careers:</b> We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.</p><p></p><p><b>
Great Culture:</b> We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.</p><p>
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.</p><p></p><p><b>
Great Rewards:</b> We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.</p><ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul><p></p><p>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.</p><p></p><p>
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</p></div>

Senior Engineer - Data

Explore 68+ Data engineer ii prime video advertising in Seattle this June. Find roles across top companies and apply now to boost your career.