applied scientist ii, prime video personalization and discovery science Jobs in Seattle

applied scientist ii, prime video personalization and discovery science

data engineer, sps finance insights & analytics Jobs in Seattle

data engineer, sps finance insights & analytics

manager, software development, prime air (drone delivery) Jobs in Seattle

manager, software development, prime air (drone delivery)

senior applied scientist, agentic advertiser guidance, sponsored products, agentic advertiser guidance Jobs in Seattle

senior applied scientist, agentic advertiser guidance, sponsored products, agentic advertiser guidance

senior applied scientist, artificial general intelligence Jobs in Seattle

senior applied scientist, artificial general intelligence

applied scientist ii prime video personalization and discovery science

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? Prime Video's technology teams are creating best-in-class digital video experience.
<br>
<br>
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
<br>
<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 technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Develop ML models for various recommendation &amp; search systems using deep learning, online learning, and optimization methods</li><li>Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li><li>Publish your research findings in top conferences and journals</li></ul><br>
A day in the life<br>
We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative &amp; customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><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>1+ years of building models for business application experience</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>
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.<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 II, Prime Video Personalization and Discovery Science

<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? Prime Video's technology teams are creating best-in-class digital video experience.<br>
<br>
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
<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 technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
Prime Video Personalization and Discovery organization operates at a global scale and is a critical part of Prime Video&rsquo;s flywheel. We are responsible for matching customers with the right content at the right time, at all touch points throughout customers' content discovery journey: from home page, title page, and search page, to showing recommendations at the end of an episode or a movie. We drive both immediate and long-term business objectives while delighting our customers.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop AI solutions for Prime Video Personalization;</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>5+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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>

Sr. Applied Scientist, Prime Video and Studios

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities.<br>
<br>
As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
</li><li>Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports</li><li>Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 5+ years of applied research experience</li><li>5+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with popular deep learning frameworks such as MxNet and Tensor Flow.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning</li><li>Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback</li><li>Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li><li>Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 Applied Scientist, Artificial General Intelligence

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
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. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!<br>
<br>
Agentic Advertiser Guidance team is focussed on guiding and supporting advertisers to meet their advertising needs of creating and managing ad campaigns. Our vision is to build a highly personalized, context aware agentic advertiser guidance that is built using LLMs and tools such as auction simulations, ML and optimization algorithms. This agent will be part of a larger agentic framework, working with chat and non-chat experiences across the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we work closely with stakeholders on Ad Console, and Amazon Sales team, to identify opportunities for the advertiser ranging from guidance across products to granular controls such as keywords and deliver them through a personalized experience.<br>
<br>
We are looking for a passionate Senior Applied Scientist who has technical expertise in information retrieval, Large Language Models (LLM), optimization algorithms, Online Advertising, and/or randomized experiments. In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance</li><li>Drive alignment across teams for science, engineering, and product strategy to achieve business goals.</li><li>Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers</li><li>Develop state of the art experimental approaches and ML models.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 Applied Scientist, Agentic Advertiser Guidance, Sponsored Products, Agentic Advertiser Guidance

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At Amazon, we're committed to pioneering new frontiers in customer experience, and Mosaic is at the forefront of this mission. Our programs and technologies are revolutionizing how customers interact with fashion and fitness products, presenting unique challenges and opportunities for quantifying their economic impact. We're seeking a experienced Data Scientist with expertise in LLM, forecasting, anomaly detection, and segmentation modeling to support our efforts to understand customer behavior in this dynamic space and build Gen AI tools that scale our science solutions.<br>
<br>
Over the years, teams across Amazon have built systems that can measure customer behavior and even optimize what is shown to customers based on relevant metrics. However, understanding the most important metrics and enabling leaders to look around corners with forecasting and anomaly detection continue to be challenges that require tying the business context with the most relevant methodology from an array of possible ones. The person in this role will work with F2 Scientists, Analysts, the Central Science and Insights Team, and Finance to define the right metrics and methodologies to build models to guide programs and features, while leveraging existing frameworks wherever applicable. We want to answer questions like &ldquo;What is driving this customer behavior?&rdquo; and &ldquo;What are signs that customer behavior is likely to change in the near future?&rdquo;.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</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 $125,500/year in our lowest geographic market up to $212,800/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>

Fashion & Fitness Data Science, Engineering Analytics Research and Science (EARS)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.<br>
<br>
How do you get items to customers quickly, cost-effectively, and&mdash;most importantly&mdash;safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what&rsquo;s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).<br>
<br>
If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.<br>
<br>
Come work on the Amazon Prime Air Team!<br>
Prime Air is seeking an experienced Procurement Agent who is comfortable operating in a fast-paced and often ambiguous environment. You will have a record of being able to perform large scale processes and deliver results. You should have the ability to work under pressure, overcome obstacles and perform in changing environment.<br>
<br>
Our Procurement Agent is responsible for managing complex procurement activities, strategic sourcing, and vendor relationships to ensure optimal value for the organization. This role requires advanced negotiation skills and deep understanding of supply chain management.<br>
<br>
Key Responsibilities:<br>
<ul><li>Execute end-to-end procurement processes including PO placement, sourcing, bidding, negotiation, and contract management</li><li>Develop and implement strategic sourcing initiatives to optimize cost savings and improve operational efficiency</li><li>Manage supplier relationships and performance metrics</li><li>Analyze market conditions and pricing trends to identify cost reduction opportunities</li><li>Lead complex contract negotiations and ensure compliance with company policies</li><li>Monitor and report on key procurement metrics and KPIs</li><li>Mentor junior procurement team members</li></ul><br>
Required Qualifications:<br>
<ul><li>Bachelor's degree in Business, Supply Chain, or related field</li><li>5+ years of procurement experience</li><li>Strong negotiation and contract management skills</li><li>Proficient in procurement systems and MS Office Suite</li><li>Experience with strategic sourcing and category management</li><li>Strong analytical and problem-solving abilities</li></ul><br>
Preferred Qualifications:<br>
<ul><li>Professional certification (CPSM, CPM, or similar)</li><li>Experience with e-procurement systems</li><li>Knowledge of relevant regulations and compliance requirements</li><li>Project management experience</li><li>Advanced degree or MBA</li></ul><br>
Key job responsibilities<br>
<ul><li>Generate purchasing requisitions according to forecasted needs
</li><li>Track and communicate delivery schedules with internal partners</li><li>Monitor and mitigate overall risk for new launches</li><li>Continuously work with the team to improve current processes</li><li>Collaborate with suppliers, to ensure timely deliveries and quality compliance</li><li>Proactively communicate risks and issues to key stakeholders and recommend mitigations</li><li>Document and maintain records of procurement, order fulfillment, and transportation when applicable</li><li>Day-to-day order management, including transactional issue resolution and critical information gathering regarding schedules, invoices, tracking info, etc.</li></ul><br>
Export Control License<br>
This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon&rsquo;s ability to apply for and obtain an export control license on your behalf.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>5+ years of supply chain, forecasting, manufacturing, sourcing/procurement, or vendor management experience</li><li>Demonstrated written and oral communication skills, and a practical, common sense approach to getting things done</li><li>Proficiency with computers and Microsoft Office (Outlook, Word, Excel), including use of lookups and pivot tables</li><li>Attention to details and willingness to roll up your sleeves to perform tactical activities</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of experience as a buyer from a large scale environment</li><li>Experience with procurement software such as Coupa or similar Procure-to-Pay system</li><li>Demonstrated ability to independently solve ambiguous problems</li></ul>
- Demonstrated business communication skills - ability to interface with all levels of the organization<br>
<ul><li>Advanced data analysis skills; the ability to extract and synthesize data</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 $103,900/year in our lowest geographic market up to $181,400/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>

Procurement Agent, Prime Air

Keller Rohrback L.L.P.

<p><b>Discovery Associate &ndash; Project Based Position </b></p><p><b>Hourly Rate: $35 per hour</b></p><p><b>Benefits: Medical/Vision Health Savings and Flex Spending Account</b></p><p>Keller Rohrback L.L.P. is seeking to hire a licensed attorney to begin work on a document review project for our complex class action litigation team. Candidates must be a resident of Arizona, California, Oregon, or Washington State. Candidates must have prior document review experience, demonstrate strong attention to detail, possess excellent written and communication skills, be organized and able to prioritize and complete tasks under time constraints, and work independently.</p><p>The primary scope of the Discovery Associate will focus on a litigation support capacity, reviewing documents for specific criteria or legal issues using a web-based database. The Discovery Associate may also assist with preparing summaries and memoranda as needed.</p><p>This initial project is anticipated to last several months, working 30-40 hours per week between 8:00 a.m. and 7:00 p.m. All assignments will be performed remotely. However, if the case settles, or there is a shift in the scope of work, this document review project could end earlier. Based on successful performance, there is a strong possibility of other project assignments going forward.</p><p>Keller Rohrback L.L.P. highly encourages POC, Trans, Nonbinary, LGBTQ+ candidates to apply. We offer a strong and collaborative team environment, in addition to a competitive compensation and benefits package. Interested applicants please send a cover letter, resume and references to careers@kellerrohrback.com. No phone calls, please.</p><p><i>Keller Rohrback is committed to promoting and preserving a firm culture of diversity, equity, and inclusion and to attracting, retaining, developing and promoting the most qualified employees without regard to age, race, ethnicity, gender identity, nationality, religion, sexual orientation, disability, veteran status, life experiences, and other characteristics that make each one of us unique. At Keller Rohrback we believe that a diverse workforce provides greater support for our staff and attorneys, leads to better teams, enhances creativity, and better serves our clients and community. </i></p><p>Job Type: Full-time</p><p>Pay: $35.00 per hour</p><p>Work Location: Remote</p>

Discovery Attorney

Explore 134+ Applied scientist ii prime video personalization and discovery science in Seattle this September. Find roles across top companies and apply now to boost your career.