aiml - applied ml engineer, data generation & verification

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aiml - sr machine learning engineer, data and ml innovation

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associate creative director (hybrid - seattle, wa)

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

ai platform support engineer (us) Jobs in Seattle

ai platform support engineer (us)

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

applied scientist ii recruiting ai agents recruiting agents candidate voice

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At AWS Cloud &amp; AI Innovation team, our mission is to accelerate customer adoption of AI and maximize the value they get from this technology.
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As Applied Scientist on our team, your focus will be on solving the most complex problems that prevent our customers from successfully adoption AI at scale. You will research new methods for overcoming obstacles that are beyond engineering solutions. These include advanced methods for agent grounding and evals, novel methods for multi-agent orchestration and semantic data layer, and innovative approaches to optimizing customer token costs, just to name a few.
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A successful candidate will have a strong machine learning background, a deep understanding of the AI stack, and a desire to push the envelope in applying AI to the most difficult practical problems preventing adoption at scale and in business-critical situations.<br>
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As a senior member of the team, you will own ambiguous, high-impact research problems end-to-end &mdash; from defining the scientific direction to conducting the research, to packaging it into a reusable solution that the rest of the team can apply in customer-facing engagements.
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As an Applied Scientist, you will leverage your technical expertise to set the research agenda for how we measure conversational quality, mentor engineers and architects, and partner across science, engineering, and business teams. You will analyze and understand customer experiences and develop novel approaches to solving complex problems in applied AI.</p><h2 class="jobSectionHeader"><b><br>
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>
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 - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, CAIT

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
AI is not just changing what software can do; it is fundamentally changing how software is built. We are building the next generation of developer tooling: an AI-native tool that redefines the software engineering workflow from the ground up. Our product sits at the center of a developer's day, and we are obsessed with making that experience fast, delightful, and powerful.
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We are looking for engineers who are passionate about building exceptional user-facing client software. If you care deeply about UI responsiveness, interaction design, and the quality of tools engineers use to build software, this team is for you.
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You will work alongside exceptional senior engineering talent solving hard problems at the frontier of AI and developer tooling. You'll have opportunities to work with and learn from best-in-industry senior engineering talent. In addition to the technical challenges provided by the innovative use cases that we are working on, you will also learn how to build a product that meets AWS's high bar for availability, scalability, and security.
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You'll have a direct line to our customers' experience and a direct means of improving it. On a daily basis, you'll work with teammates to review each other's code, mentor and be mentored. You'll have an opportunity to lead from day one, from leading projects, to driving technical processes, to teaching and learning from your teammates. You will have real ownership, from setting technical direction to shipping features that developers notice and love.
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Key job responsibilities<br>
Own the end-to-end delivery of high-impact, user-facing features built with TypeScript and React, from writing the technical spec to shipping to customers
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Drive technical direction for client-side architecture and establish patterns that raise the bar for quality across the team
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Work closely with designers and product managers to ensure every feature meets a high bar for developer UX and interaction quality
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Build and use AI agents to accelerate your own development workflow
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Exercise high judgment about when to guide, override, or take control from AI agents &mdash; knowing when to trust automation and when the situation demands your direct involvement
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Mentor and guide less tenured engineers, helping them navigate technical challenges, grow their skills, and advance their careers
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Work with Product and Design to deeply understand customer workflows and build backward from their needs, maintaining Amazon's commitment to starting from the customer
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A day in the life<br>
Use AI agents to write code and move fast, and direct code review agents to help the team catch issues before they ship
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Conduct design and UX reviews with your PM and designer to ensure every feature meets a high bar for developer experience
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Take full ownership of a feature set actively used by customers, deliver high-impact features end to end, from the initial spec to the moment they ship, and take pride in building software that genuinely delights the developers who use it every day.
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Participate in the team's Weekly Operations Review and understand the key metrics that drive our product
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Work with your manager to understand how to grow your career at AWS and how to build a career growth plan
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Become an active participant in all stages of our software development cycle, including roadmap planning and product review meetings
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Work with other engineers to improve our operational effectiveness by designing new systems and making our current ones more effective
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Help onboard new engineers and guide them in their first weeks at AWS
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Hold a high bar for user experience in every feature you ship: obsess over every interaction, every millisecond of latency, and choose the path that serves users best even when it is harder to build
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Continuously measure, monitor, and improve client-side performance across all supported operating systems
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About the team<br>
We are a team of engineers who believe the way software is built is about to change permanently, and we are the ones defining that change. We are building an AI-native developer environment that sits at the intersection of cutting-edge AI and the craft of software engineering. Our team is obsessed with the developer experience: we care about performance, interaction design, and the small details that make a tool feel fast and effortless. We dogfood our own product every day, which means every improvement we ship makes us better engineers too. If you want to build the tools that shape how the next generation of software is written, this is the team for you.
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Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience</li><li>1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience</li><li>Experience using JavaScript frameworks such as angular and react</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>1+ years of agile software development methodology experience</li><li>Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Front-End Engineer, Kiro

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Community Impact (ACI) team helps Amazon prioritize and address societal problems where we can make a difference by leveraging the company's unique assets (technology, logistics, expertise). With over 1.5 million Amazonians living and working across 60+ countries, there is unprecedented opportunity to scale collective impact by connecting our greatest asset&mdash;our people&mdash;to community initiatives through volunteering. We view volunteering as a strategic advantage that can amplify each of our community impact priorities: disaster relief, food security, and education.
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The ACI Volunteering team's vision is to cultivate a culture of volunteering where Amazonians use their time, experience, and skills to shape a better tomorrow for our local communities, planet, and future generations. Through globally relevant products and programs we enable and enhance the volunteering experience for Amazonians.
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The Executive Volunteering Lead is a senior program manager who owns volunteering strategy and execution for a portfolio of global senior leaders (Directors, Vice Presidents, Senior VPs, C-Suite) and their organizations. This role works backwards from executive and business priorities to create strategic volunteering plans, collaborate with key stakeholders to bring plans to fruition, identify and close gaps in existing volunteering products, and drive execution to deliver measurable community and employee impact.
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Successful candidates think big and dive deep to build volunteering plans that drive measurable impact. You define an organization&rsquo;s volunteering strategy based on deep customer understanding and are comfortable operating at all levels of the organization, from presenting to S-Team (C-suite) members to working hands-on with Community Ambassadors (volunteer event coordinators). You excel at translating strategic vision into execution, analyzing data, and building scalable mechanisms. You&rsquo;re a force multiplier who deploys AI tools and agents to challenge your thinking, redesign processes, automate workflows, and expand organizational capacity. You collaborate effectively with diverse teams and have the executive presence to influence senior leadership while remaining approachable to frontline volunteers.<br>
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Key job responsibilities<br>
Strategic Planning:
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<ul><li>Own the end-to-end volunteering strategy and vision for assigned senior leader (Director, Vice President, Senior Vice President) organizations, designing high-impact experiences including signature executive engagements, flagship programs, and campaign integration. Work backwards from executive priorities, business rhythms, and organizational goals to define volunteering strategies that inform business and community impact strategy.
</li><li>Write product requirements strategy documents to define new volunteering program and inform products that create meaningful business and community impact.</li><li>Leverage narrative docs to drive cross-organizational alignment.
</li><li>Use data and KPI metrics to inform strategy, prioritize initiatives, make tradeoff decisions, and demonstrate ROI to senior leadership.
</li></ul>Roadmap Execution &amp; Mechanisms:
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<ul><li>Create and maintain multi-year roadmaps that align executive engagement, volunteer experiences, and ACI priorities.</li><li>Empower generative and agentic AI tools and agents (e.g. using Amazon Quick Suite, Kiro, Claude) to accelerate workflows such as writing, data analysis, status reporting, or stakeholder communications.</li><li>Make prioritization trade-offs based on dependencies, risks, customer impact, and effort. Prioritize volunteering product feature development based on impact, effort, and strategic alignment.
</li><li>Build automated dashboards that track ROI and program metrics to simplify reporting for executive leadership through monthly and quarterly business reviews.</li><li>Translate data insights to inform tradeoff decisions and strategic shifts based on what's working and what's not working.
</li><li>Create compelling data visualizations and reports that measure effectiveness of volunteering strategies, key success metrics, and tell the story of volunteering impact.
</li></ul>Stakeholder Management:
<br>
<ul><li>Serve as the primary liaison between senior leader organizations, regional volunteering teams, and the central volunteering team.
</li><li>Drive cross-level and cross-org stakeholder alignment through business documents and mechanisms.
</li><li>Manage Voice of Customer mechanisms to understand and identify product opportunities to address executives&rsquo; pain points and needs.
</li><li>Own, coordinate, and execute go-to-market plan for new volunteering products and features impacting executives and their organizations.
</li><li>Coordinate cross-functional initiatives that require alignment across multiple business lines, geographies, and stakeholder groups.<br>
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of program or project management experience</li><li>Experience using data and metrics to determine and drive improvements</li><li>Experience owning program strategy, end to end delivery, and communicating results to senior leadership</li><li>Experience using GenAI tools to improve operational processes, automate workflows, and/or drive productivity gains</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working in corporate social responsibility or with nonprofits/NGOs</li><li>Working knowledge of Generative AI, Agentic AI, and emerging AI technologies</li><li>Familiarity with deploying prompt engineering concepts and ability to evaluate AI-generated outputs for accuracy and quality</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 - 115,600.00 - 160,000.00 USD annually</div><p></p>

Senior Program Manager, Executive Volunteering , Amazon Community Impact

Cloud Destinations

<p><b>Job Title:</b> VoIP Engineer IV</p><p><b>Number of Roles:</b> 1</p><p><b>Location:</b> Seattle, WA - ***Onsite 2-3 days per week*** (flexible/negotiable which days &mdash; not fixed team days, just needs on-site coverage during business hours at all times)</p><p><b>Duration:</b> 6 months CTH</p><p><b>Job Notes:</b>Team Structure</p><ul><li>Team of 3 today: 2 Level 1 engineers + 1 Level 4 engineer</li><li>This role would be a 2nd Level 4 (backfill/additional operational support)</li><li>Responsibilities include mentoring/training the lower-level engineers, especially on the new project being implemented Experience Requirements</li><li>Minimum 7 years experience</li><li>Negotiable/flexible if candidate has direct NovelVox experience or comparable/equivalent experience</li><li>Degrees/certifications count toward &quot;points&quot; &mdash; there's a tradeoff between formal education/certs and hands-on work experience</li><li>They want someone who's already done this or something very similar &mdash; not someone learning on the job (this is a high-visibility project, no room for a learning curve) The Project needing to start ASAP after worker is identified</li><li>Client uses Epic (hosted instance via University of Washington partnership)</li><li>Patient Access team is implementing Epic Cheers (call management module) with CTI integration</li><li>Current stack: Cisco Finesse / UCCX. New state: UCCX stays as backend, but calling interface moves from Finesse into Epic Cheers, with NovelVox building the integration layer</li><li>Future/secondary work (not immediate): Cisco WebEx AI agents / NLP &mdash; not expected to be 100% of role, will also share in daily operations, design, architecture, and other essential duties per the job description</li><li>High visibility/political importance: identified as one of the organization's top 3 projects; described as critical to org credibility/reputation with partners Compensation</li><li>Conversion Salary range: $120K low &ndash; $190K high annually</li><li>Recruiters (client side) typically anchor offers at mid-range; going above requires justifying via considerable experience</li></ul><p><b>Job Summary:</b></p><ul><li>The Voice over IP Engineer IV provides Fred Hutchinson Cancer Center (FHCC) with expert level engineering, architecture, design, implementation, operations, management, and technical leadership of complex voice over IP systems.</li><li>At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.</li><li>The role will be focused on specific projects and will require the following skill-set in addition to the standard Knowledge, Skills and Abilities expected for this level of engineer.</li><li>Experienced with the design, deployment and support of pre-built CTI connectors such as NovelVox, SpinSci or AMC. NovelVox deployment with Epic and Cisco Unified Communications Manager is preferred.</li><li>Expertise in REST APIs, JSON, SOAP services, HL7 fundamentals, FHIR basics, XML, Authentication, OAuth, SAML and interface troubleshooting.</li><li>Cisco Contact Center Platforms: Expertise with Unified Contact Center Express, Webex Contact Center and Webex Customer Assist.</li><li>Expert in SIP trunking, dial plans, and intelligent omnichannel routing (voice, chat, email).</li><li>Webex AI &amp; Automation: Skill in implementing Webex AI agents, virtual assistants, and automated screen-pop.</li><li>Healthcare Contact Center Experience including patient identiy verification, HIPAA compliance, Protected Health Information,</li><li><b>Knowledge, Skills and Abilities</b></li><li>Experience in architecting, implementing, and configuring complex Cisco IPT solutions with Cisco Unified Call Manager (CUCM) clusters, Cisco Unity/Unity Connection Voicemail (CUC), Cisco IM &amp; Presence (CIMP), and voice gateways.</li><li>Expert knowledge and expertise in the design, consultation, long-term planning, installation, management, and repair of complex VoIP based network and telecommunication equipment, related applications, and associated services.</li><li>Expert knowledge and expertise on Cisco Routers, Structured Cabling, and LAN/WAN circuits; PRI, SIP, MPLS, FXO, FXS, and POTS.</li><li>Expert knowledge and expertise of the Cisco Unified Call Manager, IMP, Telepresence, IPCC, Unity, CCX, SRST, CUBE, secure voice concepts, and secure voice processes.</li><li>Ability to think strategically and to work effectively with a diverse group of co-workers and customers.</li><li>Ability to analyze and provide creative, innovative solutions for complex problems.</li><li>Proficient organizational, interpersonal, communication (written and verbal), and presentation skills.</li><li>Demonstrated engineering leadership abilities in a team environment with a proven record of positive contributions.</li><li>Ability to complete multiple tasks, set priorities, and manage to critical deadlines.</li><li>Must be able to work non-standard business hours and be on-call as necessary.</li><li>Knowledge and expertise Cisco Emergency Responder (CER) &amp; Cisco Unified Contact Center Express (UCCX).</li><li>Knowledge on Cisco network infrastructure, LAN/WAN circuits; QoS.</li><li>Able to anticipate customer needs, assess requirements, and identify new solutions to meet departmental/organizational goals.</li><li>Additional Cisco Certifications in any of the following: CCIE (strongly preferred), CCSA, CCNP, CCDP, CCIP.</li><li><b>Required Education and Experience</b></li><li>Bachelor&rsquo;s degree in computer science, engineering, information systems, or related field, or equivalent combination of education and experience.</li><li>Minimum seven (7) years' experience in Voice Operations and/or Voice Engineering.</li><li>Minimum five (5) years of experience in information technology administration or engineering, with three (3) years of experience in the information technology VoIP, telecommunications, or networking field.</li><li>Minimum three (3) years of experience directly managing IT telecommunication or infrastructure engineering and operational resources.</li><li>Minimum three (3) years of experience in leading teams and projects.</li><li><b>Primary Essential Duties</b></li><li>Responsible for development and maintenance of business-critical communications and/or network-based voice product systems, including planning, designing, and implementing scalable local and wide-area network solutions between multiple platforms and protocols (including IP and VoIP).</li><li>Responsible for monitoring and performance of enterprise platforms.</li><li>Oversees/troubleshoots voice issues and coordinates installation efforts with appropriate vendors and internal teams.</li><li>Leveraging expertise and experience, the incumbent will develop solutions that best align with FHCC&rsquo;s voice network requirements, identifying cost-effective implementation and long-term support strategies.</li><li>Provide Tier 2 support of internal voice and data communication systems.</li><li>Comply with departmental processes, such as incident management, change management and problem management.</li><li>Monitor and report on voice systems usage, availability, and performance.</li><li>Lead telephony system evaluations.</li><li>Collaborate with other members of IT staff and end users.</li><li>Follow VoIP engineering best practices and adhere to existing policies and procedures.</li><li>Design rack and cabinet equipment layout for server rooms and other telecommunications rooms.</li><li>Report, manage and troubleshoot issues with appropriate vendor tech-support staff.</li><li>Perform advanced-to-expert level configuration, troubleshooting and problem mitigation on all voice equipment, including wireless and network security equipment.</li><li>Work effectively with vendors, contractors, and other staff to coordinate system installations and provide quality assurance oversight.</li><li>Identify and maintain tools/applications for network monitoring, control, and reporting.</li><li>Lead short and long-range capacity planning.</li><li>Lead design, planning, and implementation of voice and data network systems.</li><li>Track telecommunication equipment software/firmware levels/revisions and lead efforts to upgrade accordingly.</li><li>Lead the evaluation of functionality/feature sets needed for telecommunications and direct selection of the correct hardware/software accordingly.</li><li>Utilize project planning and management skills to act as lead on large projects.</li><li>Perform in-depth telecommunications analysis, and provide evaluation, determination, and direction.</li><li>Provide advanced telecommunications/VoIP designs, including diagrams and documentation.</li><li>Provide guidance, direction, mentorship, and training to lower-level staff.</li><li>Perform 24/7 on-call support on a rotating basis and after-hours/weekend work for planned maintenance as required</li></ul><p>Pay: $85.00 - $90.00 per hour</p><p>Application Question(s):</p><ul><li>How many years you have experience with Voice Operations and/or Voice Engineering?</li><li>How many years you have experience with telecommunication?</li><li>Do you have experience with Cisco IPT solutions with Cisco Unified Call Manager (CUCM) clusters, Cisco Unity/Unity Connection Voicemail (CUC), Cisco IM &amp; Presence (CIMP), and voice gateways?</li></ul><p>Work Location: On the road</p>

VoIP Engineer IV (Exp - 15+ years)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Here's the job description with causal ML woven in:<br>
<br>
We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon.<br>
<br>
This role requires an individual with exceptional machine learning modeling and architecture expertise &mdash; particularly in deep learning, neural networks, and transformer-based architectures applied to price prediction and forecasting problems. Equally important is deep expertise in causal machine learning &mdash; including causal inference, treatment-effect estimation, and experimentation methods (e.g., uplift modeling, double/debiased machine learning, instrumental variables, and A/B and quasi-experimental design) &mdash; to isolate the true impact of pricing and promotion decisions on customer behavior and business outcomes. The ideal candidate brings a strong foundation in applied statistics and probabilistic modeling, excellent cross-functional collaboration skills, business acumen, and an entrepreneurial spirit.<br>
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We are looking for an experienced innovator who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.<br>
<br>
Key job responsibilities<br>
See the big picture. Understand and influence the long-term vision for Amazon's science-based competitive, perception-preserving pricing techniques. Develop and advance price prediction models leveraging deep learning frameworks, transformer architectures, and advanced statistical methods to drive pricing accuracy at scale.<br>
<br>
Build strong collaborations. Partner with product, engineering, and science teams within Pricing &amp; Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale. Design and implement neural network-based architectures &mdash; including sequence models and transformers &mdash; for large-scale price prediction and optimization.<br>
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Stay informed. Establish mechanisms to stay up to date on the latest scientific advancements in deep learning, transformer architectures, applied statistics, neural network design, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems.<br>
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Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery. Leverage statistical rigor and modern deep learning approaches to validate hypotheses and drive measurable pricing improvements.<br>
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Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise &mdash; including deep neural networks, attention-based models, and applied statistical analysis &mdash; to incrementally move the needle on some of our hardest pricing problems.<br>
<br>
A day in the life<br>
We are hiring a Sr. Applied Scientist to drive our pricing optimization initiatives. We drive cross-domain and cross-system improvements through:<br>
<br>
<ul><li>shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.</li><li>Error detection and price quality guardrails at scale.</li><li>Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)</li></ul><br>
Price is a highly relevant input into Stores architectures; this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication.<br>
<br>
About the team<br>
The Pricing Optimization science group builds and refines Amazon's algorithmic pricing and promotion models at scale. Our team combines expertise in deep learning, transformer architectures, applied statistics, and probabilistic forecasting to develop price prediction systems that directly impact the customer experience. The team also brings hands-on experience with causal modeling and inference &mdash; including uplift modeling and treatment effect estimation &mdash; to rigorously measure the impact of pricing decisions on customer behavior and business outcomes. We partner closely with product, engineering, and business teams to take solutions from research through production deployment.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>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>
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 - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, Pricing Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want to join an innovative team of scientists and engineers who use terabytes of data and create state-of-the-art Generative AI algorithms to push the boundaries of AI creativity? We are building foundational behavioral models for Amazon Stores using Generative AI, LLMs and Large Model training techniques that fuses general world knowledge, customer shopping behavior and Amazon e-commerce domain knowledge. We are looking for scientists who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry using intelligent and transformative AI applications. Working closely with cross-functional teams, you will be an essential part of every stage of AI development, from ideation and design to rigorous testing and successful deployment, ensuring our AI projects drive innovation and provide value for our customers. If you&rsquo;re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!<br>
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Key job responsibilities<br>
In this role you will leverage your background and expertise to lead developing foundational behavioral model for Amazon Stores using Generative AI, LLM and Large Model training techniques. On a day-to-day basis, you will:<br>
<ul><li>Research and implement new algorithms and architectures for generative AI applications.</li><li>Optimize model performance and scalability for inference and deployment.</li><li>Collaborate with other talented applied scientists and engineers to gather and preprocess large datasets and develop an improved training infrastructure that accelerates innovation.</li><li>Experiment with SOTA methods to improve generative AI model quality.</li><li>Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.</li></ul></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>2+ years of building models for business application 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 in patents or publications at top-tier peer-reviewed conferences or journals</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Strong understanding of machine learning, deep learning, and generative AI principles and algorithms.</li><li>Proficiency with modeling and large-scale data processing tools such as Pytorch, scikit-learn, Spark MLLib, PySpark, MxNet, Tensorflow, numpy, scipy etc.</li><li>Ability to work with large datasets and knowledge of data preprocessing techniques such as Hadoop, Spark etc..</li><li>Familiarity with natural language processing (NLP) and computer vision for generative AI applications.</li><li>Strong problem-solving and critical thinking skills and excellent communication and teamwork abilities to collaborate with cross-functional teams.</li><li>Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.</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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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>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Diego - 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 (GenAI/LLM), Sandstone

Palo Alto Networks

<div>Seattle, Washington, United States Sales Ref ID: JR-020630</div>
<br><div><div><div><div><div><h2 class="jobSectionHeader"><b>Overview</b></h2>
<p>Your next great move.</p>
</div><div><p>If you're passionate about staying ahead of the curve in cybersecurity and thrive on helping organizations safeguard their most valuable digital assets, an Account Executive role at Palo Alto Networks could be your next great move. We're looking for individuals who are passionate about advanced security solutions and enjoy tailoring them to meet complex challenges. We're always recruiting the best and brightest who thrive on helping customers navigate the ever-changing security landscape and have the ability to make the most complex challenges attainable. You'll partner closely with Solutions Consultants to evangelize the Palo Alto Networks platform and highlight the benefits it can provide our customers, helping them secure their most critical digital assets. At Palo Alto Networks, you'll find strong career growth, collaboration with top talent, and a mission-driven environment focused on securing our digital future.</p>
</div><div><ul><li>Level: Mid-Senior</li>
<li>Travel: Yes (frequent)</li>
</ul></div></div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Success Profile</b></h2>
<p>What it takes to be successful.</p>
<p>What makes a successful Major Account Manager at Palo Alto Networks? Check out the top traits we&rsquo;re looking for and see if you have the right mix.</p>
</div><div></div><div><div><ul><li>Influences</li>
<li>Focuses on the Customer</li>
<li>Drives Results</li>
<li>Technical Acumen</li>
<li>Sales Hygiene</li>
<li>Demonstrates Resilience</li></ul></div></div></div></div></div></div>
<br><div><div><div><p>Get the latest details.</p>
</div><div><div><p><b>Our Mission</b></p>
<p></p><p>At Palo Alto Networks&reg;, we&rsquo;re united by a shared mission&mdash;to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you&rsquo;re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you&rsquo;re in the right place.</p>
<p></p><p><b>Who We Are</b></p>
<p></p><p>In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!</p>
<p></p>This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.
<p></p><p><b>Job Summary</b></p>
<p></p><ul><li><p>As a Major Account Manager, you will drive and orchestrate large complex sales cycles and work with our internal partners and teams to best serve the customer</p>
</li><li><p>Your consultative selling experience will identify business challenges and create solutions for prospects and our customers</p>
</li><li><p>Understand the competitive landscape and customer needs so you can effectively position the portfolio of Palo Alto Networks solutions</p>
</li><li><p>Create clear goals and complete accurate forecasting through developing a detailed territory plan</p>
</li><li><p>Leverage prospect stories to create a compelling value proposition with insights into value for that specific account</p>
</li><li><p>Stay updated on industry news and trends, and how they affect Palo Alto Networks products and services</p>
</li><li><p>Travel as necessary within your territory, and to company-wide meetings</p>
</li></ul><p></p><p><b>Qualifications
</b></p><ul><li><p>Experience and knowledge of SaaS-based architectures, ideally in a networking and/or security industry</p>
</li><li><p>Demonstrated experience selling complex solutions, value selling, and/or consultative sales techniques</p>
</li><li><p>Technical aptitude for understanding how technology products and solutions solve business problems</p>
</li><li><p>Identifies problems, reviews data, determines the root causes, and provides scalable solutions</p>
</li><li><p>Cultivate relationships with our channel partners to bring channel-centric go-to-market approach for our customers</p>
</li><li><p>Demonstrates in depth knowledge of the full sales cycle and the ability to follow a structured sales process</p>
</li><li><p>Ability to take a holistic approach to problem solving by understanding the bigger picture, and considering complex interrelationships and outcomes</p>
</li><li><p>Excellent time management skills, and work with high levels of autonomy and self-direction</p>
</li></ul><p></p><p><b>Compensation Disclosure</b></p>
<p></p><p>The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.</p>
<p></p>$264,000.00 - $363,000.00/yr
<p></p><p><b>Our Commitment
</b></p><p></p><p>We&rsquo;re trailblazers that dream big, take risks, and challenge cybersecurity&rsquo;s status quo. It&rsquo;s simple: we can&rsquo;t accomplish our mission without diverse teams innovating, together.</p>
<p></p><p>We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.</p>
<p></p><p>Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.</p>
<p></p><p>All your information will be kept confidential according to EEO guidelines.</p>
<p></p>Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
<p></p>Motor-Vehicle Requirement: This role may require travel to and from Palo Alto Networks, Inc. business meetings and events and requires reliable transportation to do so. If a hire chooses to drive in connection with company business, the hire for this role must maintain a valid driver&rsquo;s license.</div></div></div></div><p></p>

Major Account Manager

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