(usa) senior, software engineer Jobs in Seattle

(usa) senior, software engineer

applied scientist ii, amazon stores finance science Jobs in Seattle

applied scientist ii, amazon stores finance science

applied scientist, amazon special projects Jobs in Seattle

applied scientist, amazon special projects

applied scientist, safety ml Jobs in Seattle

applied scientist, safety ml

business development executive, data sales Jobs in Seattle

business development executive, data sales

senior data scientist

Serko Ltd

<div><p>Serko is a cutting-edge tech platform in global business travel &amp; expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world&rsquo;s leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change.</p><p>
With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place for India, we&rsquo;re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product.</p><p><b>
Requirements</b></p><p>
We are looking for a Senior Data Scientist to build and implement cutting-edge models within AI-agentic environments to drive product performance. You will work closely with Product and cross-functional teams to shape the roadmap, identify opportunities where data can unlock growth and build scalable data products that deliver real value to our customers.</p><p></p><p>
We are looking for someone to hit the ground running by delivering against an ambitious timeline to MVP and the architectural runway to build something that doesn't exist yet. You'll play a pivotal role in shaping how we use data to build smarter products, make better decisions, and accelerate growth. This is a hands-on, high-impact role where your models and insights will directly influence customer experience and business strategy. Candidates who have a demonstrable background in taking AI/ML data product to market will take preference above all else.
</p><p></p><h3 class="jobSectionHeader"><b>What you'll do</b></h3><ul>
<li>Deliver business impact by developing and deploying world-class data science solutions across critical areas of the product and business.</li>
<li>Build and implement models within AI-agentic environments that drive product performance &mdash; including Recommender Systems (collaborative filtering, content-based filtering), Ranking algorithms, Reinforcement Learning and Deep Learning (heterogeneous graph transformer).</li>
<li>Drive velocity of delivery by eﬃciently scoping, prioritising, and executing projects while maintaining a high technical bar.</li>
<li>Solve novel problems quickly and creatively, adapting new technologies and frameworks to emerging business needs.</li>
<li>Partner with Product to co-create data-informed roadmaps, ensuring feature priorities align with measurable outcomes.</li>
<li>Identify and tackle opportunities and risks across the business that can be addressed through data.</li>
<li>Communicate clearly with senior stakeholders by translating complex technical problems into concise, digestible business terms.</li>
<li>Mentor and lead other data scientists, analysts, and engineers, fostering a culture of collaboration, curiosity, and innovation.</li>
</ul><p></p><h3 class="jobSectionHeader"><b>
What you'll bring</b></h3><ul>
<li>Proven record of building and implementing models at velocity to drive tangible business outcomes.</li>
<li>Expertise in machine learning, applied statistics, and modern AI/ML techniques.</li>
<li>Strong grasp of experimentation frameworks and designing for scalability and maintainability in production.</li>
<li>Exceptional communication skills with a demonstrated ability to distil technical complexity for non-technical audiences.</li>
<li>Deep understanding of product development cycles and how data science integrates into product decisions.</li>
<li>Experience mentoring or leading a data science team.</li>
<li>Strong coding skills in Python (or similar) and familiarity with key data frameworks and pipelines.</li>
<li>Curious, proactive mindset with the ability to spot unseen opportunities and innovate under ambiguity.</li>
</ul><p><b>
Benefits</b></p><p>
At Serko, we aim to create a place where people can come and do their best work. This means you&rsquo;ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact.</p><p>
Some of the benefits of working at Serko are:</p><ul>
<li>
A competitive base pay</li>
<li>Medical Benefits</li>
<li>Discretionary incentive plan based on individual and company performance</li>
<li>Focus on development: Access to a learning &amp; development platform and opportunity for you to own your career pathways</li>
<li>Flexible work policy</li></ul></div>

Senior Data Scientist

Apple

<p>At Apple, we believe that technology should enrich people's lives in meaningful ways. Apple Services-including the App Store, Apple Music, Apple TV+, and Podcasts-connect millions of users worldwide to the content and experiences they love. Behind these services are sophisticated AI and machine learning systems that power personalized recommendations, intelligent search, and content discovery. The quality of these experiences depends fundamentally on the integrity of the data that fuels them.<br>
<br>
Join the Human-centered AI (HAI) organization within Apple Services Engineering as a Senior Applied Scientist on our Data Quality Operations team. This is your opportunity to shape the future of data quality at Apple, working at the intersection of cutting-edge machine learning, large language models, and rigorous scientific methodology. You'll be at the forefront of designing and implementing novel, scalable quality control solutions which ensure our AI-powered services meet Apple's exacting standards for a high-quality user experience. If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day.<br>
<br>
<b>Description</b><br>
<br>
We are seeking a Senior Applied Scientist to lead the design and implementation of novel, scalable quality control solutions for Apple Services. In this role, you will develop AI or ML solutions for programatically generating gold standard datasets, create anomaly detection systems, and pioneer use of Large Language Models for automated quality control. You will work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance.<br>
<br>
&quot;,&quot;responsibilities&quot;:&quot;Develop methodologies and systems to programatically generating gold standard datasets to measure and improve data quality across diverse content types.<br>
<br>
Build and validate LLM-based grading systems that align with human judgment for tasks including content classification, quality assessment, and metadata validation.<br>
<br>
Create and deploy anomaly detection systems to proactively identify data inconsistencies, biases, and errors across production pipelines.<br>
<br>
Collaborate with AI/ML engineering, product, and data science teams to identify quality challenges and integrate solutions into production workflows.<br>
<br>
Stay abreast of the latest advancements in machine learning, AI, data quality, and LLM research, applying relevant techniques to enhance our capabilities.<br>
<br>
Mentor and guide junior team members, fostering technical excellence and innovation in data quality operations.<br>
<br>
Communicate findings and recommendations clearly to technical and non-technical stakeholders, including senior leadership.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience,<br>
<br>
Experience with data labeling operations, annotation quality frameworks, or human-in-the-loop systems.<br>
<br>
Familiarity with prompt optimization frameworks or automated prompt engineering.<br>
<br>
Experience in natural language processing (NLP) or natural language understanding (NLU).<br>
<br>
Experience with MLOps practices and tools for deploying, monitoring, and managing ML models in production.<br>
<br>
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or large-scale distributed infrastructure systems.<br>
<br>
Prior experience contributing to open-source projects or publishing research in relevant academic conferences or journals.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
3+ years of industry experience in an Applied Scientist, Machine Learning Engineer, or Data Scientist role with focus on data quality, evaluation, or related areas.<br>
<br>
Proven experience designing, building, and deploying scalable data quality or evaluation systems in production environments.<br>
<br>
Strong hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and applications such as grading, validation, or classification.<br>
<br>
Proficiency in Python, data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow), SQL, and distributed computing environments (Spark, Hadoop).<br>
<br>
MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, OR BS degree in a related quantitative field with 8+ years of relevant industry experience.<br>
<br>
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 .</p>

Sr Applied Scientist, AI/ML Evaluation Quality, Apple Services Engineering

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
About the Role<br>
<br>
We are looking for applied scientists to solve challenging and open-ended problems in the domain of user and content safety. As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. You will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities.<br>
<br>
You will report to our Senior Applied Science Manager in San Francisco, CA. You can work from San Francisco, CA or Seattle, WA.<br>
<br>
You Will<br>
<br>
<ul><li>Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.</li><li>Work backwards from customer problems to develop the right solution for the job, whether a classical ML model or a state-of-the-art one.</li><li>Collaborate with Community Health's engineering and product management team to productionize your models into flexible data pipelines and ML-based services.</li><li>Continue to learn and experiment with new techniques in ML, software engineering, or safety so that we can better help communities on Twitch grow and stay safe.</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of building production software experience</li><li>2+ years of hands-on industry experience building models for NLP, deep learning, bot detection, anomaly detection or in another practical ML domain.</li><li>PhD / MSc Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or similar quantitative field OR equivalent hands on experience.</li><li>Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.).</li><li>Familiarity with operating in AWS or similar cloud-computing services.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD with a specialization in Machine Learning.</li><li>1+ years of experience working in the safety or fraud prevention domain (not necessarily as a scientist).</li><li>Experience communicating with both technical and non-technical partners and stakeholders.</li><li>Familiarity with Twitch, its business, and its community.</li></ul><br>
Twitch 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 - 171,600.00 - 222,200.00 USD annually<br>
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Safety ML

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our mission is to prevent denied entities from transacting with Amazon businesses. We build automatic mechanisms to detect and prevent prohibited transactions with denied entities using a diverse set of algorithms and machine learning techniques. We screen over a billion events every day and develop algorithms which are able to scale and detect suspicious entities . We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come.
<br>
<br>
We are seeking an Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers, data scientists, and domain experts, you will play a crucial role in defining cutting-edge ML/AI-powered customer experiences and solutions. If you have an entrepreneurial mindset, the technical depth to deliver impactful results, and a passion for innovation, we want to hear from you.
<br>
<br>
Key job responsibilities<br>
In this role, you will:
<br>
<ul><li>Drive the research, design, and development of novel ML/AI models and systems to power critical products and services
</li><li>Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints
</li><li>Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback
</li></ul>&bull; Communicate complex technical concepts to technical and non-technical stakeholders &bull; Mentor and grow a team of talented ML scientists and engineers
<br>
<ul><li>Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques
</li></ul><br>
A day in the life<br>
<ul><li>Starting the day by reviewing the latest model performance metrics and identifying areas for improvement
</li><li>Brainstorming new architectures and approaches with your cross-functional team during a whiteboard session
</li><li>Diving deep into a complex dataset, leveraging advanced statistical and AI techniques to uncover hidden insights
</li><li>Prototyping a new model and running a series of experiments to optimize its performance
</li><li>Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders
</li><li>Mentoring a junior data scientist, providing guidance on coding best practices and problem-solving strategies</li></ul><br>
About the team<br>
Why Amazon Security<br>
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon&rsquo;s products and services.<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 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.<br>
<br>
Inclusive Team Culture<br>
In Amazon Security, it&rsquo;s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br>
<br>
Training and 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.</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, TX, Dallas - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Denied Party Screening, AWS Compliance & Security Assurance

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you.<br>
<br>
As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams.<br>
<br>
Key job responsibilities<br>
As an Applied Science, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.<br>
We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.<br>
<br>
About the team<br>
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.</p><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><li>Experience in patents or publications at top-tier peer-reviewed conferences (NeurIPS, ICML, ICLR, CVPR) or journals</li><li>Experience in deep learning models for life sciences; knowledge of protein biology.</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Amazon Special Projects

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Stores Finance Science (ASFS) is committed to integrating industry leading scientific methodologies into our financial processes. Our mission is to collaborate with finance and business partners to leverage advanced scientific and economic products to optimize insights, analysis, and decision-making. Our primary focus lies in developing solutions for Finance's enduring challenges and opportunities, encompassing financial controllership, planning, and operational efficiency.<br>
<br>
We are seeking a Applied Scientist to propel Gen AI acceleration within Finance. This role will focus on leveraging large language models and agentic Ai to enhance decision-making processes, automate complex controllership processes, and improve operational efficiency in Stores Finance.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop approaches to automate and enhance financial processes using state-of-the-art language models</li><li>Partner with business stakeholders to identify high-impact opportunities for AI-driven transformation</li><li>Work with Software Engineering and Data Engineering to implement solutions that scale to the entire organization</li></ul><br>
A day in the life<br>
Are you interested in solving complex problems at the intersection of Science/Economics and Finance? And doing this while working in the Finance organization supporting one of the world's largest and most complex and dynamic businesses? This is a unique opportunity for qualified individuals to drive the entire life cycle of highly impactful, real-world ML applications, focused on use of advanced generative AI technology. If you thrive in a fast-paced, dynamic environment, and are passionate about driving impact, we encourage you to apply!<br>
<br>
About the team<br>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing science/econ products that empower controllership, improve business decisions and financial planning by understanding drivers, and innovating Gen AI capabilities for efficiency and scale.</div><h2 class="jobSectionHeader"><b><br>
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 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><li>Experience working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Experience with LangGain, CrewAI, LangGraph or similar libraries for leveraging GenAI</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 - 171,600.00 - 222,200.00 USD annually<br>
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist II, Amazon Stores Finance Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div><br>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
Our Certification Operations team is seeking a Senior Manager, Certification Operations who is customer obsessed and believes there is always an opportunity to improve the way we assess and certify our builders' work-readiness. As the single-threaded owner of the Data Center Learning Certification program, you'll manage and develop teams of certification professionals building high-impact assessment methodologies for our AWS Data Center Communities (DCC) organization. This position requires constant collaboration with Senior Leaders in Data Center Operations, Safety, Security, Logistics, Planning, Delivery, and other teams to determine the right certification strategy and execution. Your team will ensure that we are building the most important, most impactful certification solutions that assess ~15,000 technicians across Data Center Operations (DCO), Data Center Engineering Operations (DCEO), and Logistics (DCMAT) job families. You will also launch the external AWS Data Center Operations certification that validates foundational competencies and technical knowledge to pre-qualify external candidates to work for AWS.<br>
<br>
We are looking for a professional who has demonstrated deep people management expertise and the ability to build high-performing teams across multiple time zones and cultures. The ideal candidate will have proven success leading teams through organizational change while establishing and improving operational metrics that drive excellence. You must be able to prioritize workstreams in alignment with organizational goals and push the boundaries of certification operations, sourcing and integrating the newest technology that drives productivity and value for our customers.<br>
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As the Senior Manager you will represent our organization across AWS. This entails understanding the short, medium, and long-term certification and organizational goals, and translating these into an actionable vision, roadmap and people growth plans. Your role will be tasked with management of a team of experienced certification professionals &ndash; their growth and development as individuals and leaders.<br>
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In this role you will:<br>
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<ul><li>Develop and execute strategies and mechanisms to ensure effective development and delivery of creative and innovative certification methodologies that scale across multiple geographies and languages.</li><li>Work strategically with country and regional leaders to identify flexible, but consistent certification solutions to operational challenges and work toward ensuring only qualified builders access appropriate work requests.</li><li>Solve business problems with focus on understanding root causes and driving forward-looking opportunities in certification operations.</li><li>Leverage AI and emerging technologies to optimize certification workflows and enhance team productivity.</li><li>Drive utilization of assessment and performance data to support data-driven certification outcomes.</li><li>Design new metrics and enhance existing metrics to support the future state of certification operations.</li><li>Experiment with and successfully implement new methods and modes of certification that build upon academic and industrial best practices.</li><li>Integrate certification operations within centralized solutions (e.g. Boost) to enable efficient planning and management of work requests.</li><li>Coach, mentor, and develop the team, including establishing and overseeing new employee onboarding programs, and providing career development planning and opportunities.</li><li>Work with leading online training and certification platforms to develop and grow AWS Data Center Operations external certifications.</li></ul><br>
Key job responsibilities<br>
<ul><li>Communicate at all levels, including with Executive Management across Global Data Center Operations.</li><li>Own Strategy of the Certification Operations, including methodology, assessment, management, adoption, integration and inspection.</li><li>Prioritize Work in alignment with Strategic Initiatives across DCO, DCEO, and DCMAT job families.</li><li>Gather and Use Metrics to Drive Decisions on Certification Operations and Investments in Builder Assessment.</li><li>Manage Team Operations to Schedule and Budget across three main org capabilities: development, delivery, and integration with DC tools.</li><li>Create Comprehensive Certification Programs across a variety of Assessment Modalities and Work Environments.</li><li>Establish and monitor adoption and operational excellence metrics for certifications, including coverage and impact on safety, availability, capacity, cost and productivity.</li></ul><br>
A day in the life<br>
You will analyze the current certification operations across the AWS Data Center organization and actively seek opportunity to improve and innovate assessment methodologies. You'll manage teams of certification specialists focused on building and delivering certification programs across all job families in alignment with the Data Center Learning organizational goals and strategy. As your team completes development of certification standards and assessments, you'll launch certification offerings and measure their impact on operational metrics over time. Using data from understanding builder performance and certification effectiveness, you'll direct the team on how to improve assessment quality, where to innovate in certification methodology, and what operational measurements you can improve through better certification practices. You'll work closely with centralized solutions teams to ensure seamless integration of certification requirements into work management systems.<br>
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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, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
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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.
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Inclusive Team Culture
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AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion of events fosters stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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Mentorship &amp; Career Growth
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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.
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Work/Life Balance
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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.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or equivalent in a relevant field such as Instructional Design, Educational Technology, or Organizational Development</li><li>5+ years of team management experience, or a PMP certificate and 5+ years of program or project management experience</li><li>10+ years of blending product and program management skills to execute strategic initiatives about process creation, standardization, and improvement experience</li><li>Experience launching and building brand recognition of public certification programs</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience creating and implementing large-scale programs</li><li>Expertise with industry-standard certification practices, assessment methodologies, and credentialing systems.</li><li>Familiarity and/or experience and with evidence-based assessment and certification research methodologies along with program management tools, learning management systems, certification management platforms, assessment authoring tools, and integration with operational systems.</li><li>A strong focus on internal customers' needs and satisfaction, with an emphasis in demonstrating return on investment in certification.</li><li>Experience building measures and metrics, and developing reporting solutions</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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $162,900/year in our lowest geographic market up to $281,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Manager, Certification Operations, Data Center Learning

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