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aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

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machine learning engineer Jobs in Seattle

machine learning engineer

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

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

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

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

machine learning engineer web development ai

Lightning AI

<div><div><h2 class="jobSectionHeader">Who We Are</h2>

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems&mdash;designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
<h2 class="jobSectionHeader">
The Way We Work</h2>

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:
<ul>
<li>Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.</li>
<li>Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.</li>
<li>Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.</li>
<li>Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.</li>
<li>Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.</li>
<li>Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.</li>
</ul>
</div><div></div><h2 class="jobSectionHeader">What We're Looking For</h2>

Lightning AI is looking to hire an AI Platform Support Engineer to join our US Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.

This role sits at the intersection of ML systems, cloud infrastructure, Kubernetes, and customers. You'll support engineers training models, deploying inference systems, and scaling GPU workloads in production.You are not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.

The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You'll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.

This role is hybrid out of our Seattle, San Francisco, or New York office hubs, with an in-office requirement of at least 2 days per week and occasional team and company offsites. The role follows a Monday&ndash;Friday schedule, with working hours from 8:00 AM to 5:00 PM PST. We are not able to provide visa sponsorship for this role at this time.<h2 class="jobSectionHeader"> 

What You'll Do</h2>

Work Directly With ML Engineers
<ul>
<li>Partner directly with customer engineering teams running training and inference workloads in production</li>
<li>Help customers diagnose and resolve complex distributed systems and ML infrastructure issues</li>
<li>Act as a technical advisor during high impact incidents and platform degradation events</li>
<li>Translate infrastructure level issues into actionable guidance for ML engineers</li>
<li>Build credibility with customers through strong technical reasoning and clear communication</li>
</ul>
Debug ML Infrastructure &amp; Distributed Workloads
<ul>
<li>Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems</li>
<li>Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues</li>
<li>Analyze logs, metrics, traces, and system behavior to isolate root causes</li>
<li>Debug containerized workloads running across Kubernetes and bare metal GPU environments</li>
<li>Support customers scaling workloads across multi node GPU systems</li>
<li>Diagnose performance bottlenecks involving compute, memory, networking, or storage</li>
</ul>
Improve Reliability &amp; Platform Operations
<ul>
<li>Identify recurring patterns across customer issues and drive long term reliability improvements</li>
<li>Contribute to post incident reviews and operational improvements</li>
<li>Build internal tooling, automation, documentation, and runbooks</li>
<li>Partner closely with infrastructure, networking, and platform engineering teams</li>
<li>Help improve observability, operational visibility, and troubleshooting workflows</li>
<li>Improve the customer experience through better processes and technical guidance</li>
</ul>
What This Role Is Not

To set clear expectations:
<ul>
<li>This is not a traditional help desk or ticket routing support role</li>
<li>This is not purely customer success or account management</li>
<li>This is not a backend engineering role</li>
<li>This is not a passive escalation position</li>
</ul>
This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers. 

<h2 class="jobSectionHeader">
What You'll Need</h2>
<h3 class="jobSectionHeader">Required Qualifications</h3>
<h4 class="jobSectionHeader">Infrastructure &amp; Systems</h4>
<ul><li>Strong software engineering and systems troubleshooting background</li>
<li>Experience with Kubernetes and containerized environments</li>
<li>Linux systems knowledge, including networking, storage, process management, and performance tuning</li>
<li>Experience with cloud infrastructure and distributed systems</li>
<li>Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry</li>
</ul><h4 class="jobSectionHeader">ML Infrastructure Experience</h4>
<ul><li>Hands on experience operating machine learning workloads in production or research environments</li>
<li>Experience with distributed ML systems and tooling such as PyTorch, CUDA, or NCCL</li>
<li>Familiarity with GPU infrastructure and orchestration</li>
<li>Experience troubleshooting performance, reliability, or scaling issues in ML infrastructure</li>
<li>Understanding of the operational challenges involved in running ML systems at scale</li>
</ul><h4 class="jobSectionHeader">Collaboration</h4>
<ul><li>Strong communication skills and ability to work directly with highly technical customers and engineering teams</li>
<li>Comfortable operating in fast moving, highly ambiguous environments</li>
<li>Enjoys solving complex technical problems collaboratively</li>
</ul><h3 class="jobSectionHeader">Ideal Experience</h3>
<ul><li>Experience with large scale model training or distributed inference systems</li>
<li>Familiarity with Ray, Kubeflow, Slurm, or similar distributed scheduling platforms</li>
<li>Experience with InfiniBand, RDMA, or high-performance networking</li>
<li>Experience operating bare metal infrastructure</li>
<li>Familiarity with storage systems commonly used in ML environments</li>
<li>Experience working at an AI infrastructure, cloud, MLOps, or developer tooling company</li>
<li>Contributions to platform engineering, developer infrastructure, or operational tooling projects</li>
<li>Experience writing automation, tooling, or scripts in Python or similar languages</li>
</ul><div><h2 class="jobSectionHeader">Benefits and Perks</h2>

We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:
<ul>
<li>Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.</li>
<li>Meaningful Equity: RSUs that give employees a stake in the company's long-term success.</li>
<li>Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).</li>
<li>Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.</li>
<li>Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.</li>
<li>Paid Parental &amp; Family Leave: Paid leave to support you and your family through life's important moments.</li>
<li>Professional Development: Annual learning and development allowance to support your professional growth.</li>
<li>Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.</li>
<li>Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.</li>
<li>Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.</li>
<li>In-Office Meals: Complimentary meals at our office hubs.</li>
</ul>
Benefits may vary by location, team, and role. 


At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.</div></div>

AI Platform Support Engineer (US)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems. 
 
AWS built a specialized group of service teams responsible for the work we are doing with the U.S. Intelligence Community. Engineers on these teams implement innovative cloud computing solutions and solve technical problems. 
 
Amazon Simple Storage Service (S3) is storage for the Internet. Through the use of pioneering techniques in distributed computing, developers are able to durably store their data on Amazon&rsquo;s proven computing infrastructure to achieve virtually limitless storage capacity at minimal cost. Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, secure, fast, inexpensive infrastructure that Amazon uses to run its own global network of web sites. The service aims to maximize benefits of scale and to pass those benefits on to developers. 
 
The S3 Engineering team is responsible for maintaining and improving our government customer&rsquo;s cloud storage solutions by reacting to operational incidents while also delivering new and exciting S3 features. We're looking for an Engineer to join our team and be based in Maryland. 
 
We&rsquo;re looking for innovative engineers for the largest storage service on the internet. This position is perfect for professionals interested in creating tools and automation so that engineers can be as hands-off as possible. We want our service to be as automated as possible and that can only be done by having engineers who understand how to think big, simplify solutions to complex, never before seen problems; all while ensuring that the customer continues to have the best experience possible. 
 
We are seeking an engineer who is focused on operational excellence and troubleshooting complex system operations. They should also have a good understanding of Linux, networking and general knowledge of cloud services. At Amazon we have a drive to create the best customer experience possible, with the customers being both AWS customers and the other engineers at AWS who will benefit from collaborative contributions to ongoing operations and improving our support to our service. 
 
By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us. 
 
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 
 
10012 
 
Key job responsibilities 
In this role, you will be able to take a defined project, break down the work to help define milestones, and feedback mechanisms. You will identify when implementations are not highly available or have defects; you investigate systemic patterns. You will resolve, mitigate, or escalate operational concerns in a timely manner. 
 
A day in the life 
<ul><li>Investigating new ways to improve operations and defining new solutions to solve technically complex cloud issues for our customers.</li><li>Taking a proactive approach to maintaining service health by investigating performance outliers through metric analysis and log diving.</li><li>Increasing service knowledge by diving deep into its architecture to better understand system configuration and dependencies.</li><li>Studying and learning along some of the industry&rsquo;s top experts on cloud computing and storage.</li><li>Expanding regional coverage for Amazon&rsquo;s Simple Storage Solution (S3).</li><li>Building and launching AWS services from ordering hardware to deploying software.</li><li>Participating in an on-call rotation.</li><li>Supporting the U.S. Intelligence Community and Defense agencies to implement innovative cloud computing solutions and solve unique technical problems.</li></ul> 
About the team 
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. 
 
AWS Infrastructure Services (AIS) 
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. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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 in the cloud. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Diverse Experiences 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+</li><li>1+ years Linux systems administration experience</li><li>1+ years technical troubleshooting / support experience</li><li>1+ years of networking experience</li><li>Current, active US Government Security Clearance of TS/SCI with Polygraph</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with distributed systems at scale</li><li>Experience with service-oriented architecture and web services</li><li>Experience with systems administration on either Linux/UNIX or Windows operating systems</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 91,000.00 - 152,000.00 USD annually</div>

ADC Engineer I, S3+Glacier Unique Regions

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
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.
 
 
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.
 
 
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.
 
 
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.
 
 
Key job responsibilities 
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
 
 
Drive technical direction for client-side architecture and establish patterns that raise the bar for quality across the team
 
 
Work closely with designers and product managers to ensure every feature meets a high bar for developer UX and interaction quality
 
 
Build and use AI agents to accelerate your own development workflow
 
 
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
 
 
Mentor and guide less tenured engineers, helping them navigate technical challenges, grow their skills, and advance their careers
 
 
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
 
 
A day in the life 
Use AI agents to write code and move fast, and direct code review agents to help the team catch issues before they ship
 
 
Conduct design and UX reviews with your PM and designer to ensure every feature meets a high bar for developer experience
 
 
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.
 
 
Participate in the team's Weekly Operations Review and understand the key metrics that drive our product
 
 
Work with your manager to understand how to grow your career at AWS and how to build a career growth plan
 
 
Become an active participant in all stages of our software development cycle, including roadmap planning and product review meetings
 
 
Work with other engineers to improve our operational effectiveness by designing new systems and making our current ones more effective
 
 
Help onboard new engineers and guide them in their first weeks at AWS
 
 
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
 
 
Continuously measure, monitor, and improve client-side performance across all supported operating systems
 
 
About the team 
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.
 
 
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.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Front-End Engineer, Kiro

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Here's the job description with causal ML woven in: 
 
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. 
 
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. 
 
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. 
 
Key job responsibilities 
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. 
 
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. 
 
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. 
 
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. 
 
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. 
 
A day in the life 
We are hiring a Sr. Applied Scientist to drive our pricing optimization initiatives. We drive cross-domain and cross-system improvements through: 
 
<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> 
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. 
 
About the team 
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"> 
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Sr. Applied Scientist, Pricing Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
This is not your typical entry-level sales role &mdash; it's a launchpad. 
 
At Amazon, our peculiar culture and obsession with delighting customers extends to everything we do, including what we call our teams. While the industry knows this role as a SDR, BDR, Associate Account Executive, Amazon's customer-first DNA means we call our team members &quot;Customer Acquisition Representatives&quot; (CARs). It's more than a name, it reflects our belief that every interaction should start and end with the customer. As a CAR, you'll accelerate pipeline growth, navigate complex customer landscapes, shift gears between strategic thinking and high-impact execution, and put customers in the driver's seat of their cloud journey. Every CAR needs fuel, yours will be curiosity, coaching, and the full support of the world's leading cloud platform. 
 
As a CAR, you will take the lead in unlocking growth potential for both new and existing AWS customers. We are one of the principal sources of new pipeline that fuels the AWS engine &ndash; engaging the unengaged accounts and contacts to drive pipeline that turns into revenue. Using cutting-edge AI tools and data-driven insights, you'll identify whitespace opportunities and develop innovative strategies to reach unengaged accounts at scale. You'll be part of shaping how technology is deployed across thousands of organizations, from enabling rapid, individually customized cancer treatments to helping Fortune 500 companies meet their carbon emissions goals. The AWS technology stack is the backbone of some of the most innovative solutions to the world's most pressing problems. 
 
Your career path is clear. This role is designed as the entry point into AWS's North American sales organization. We don't need the perfect candidate, but we do want people who are curious, coachable, and willing to learn. We've developed hundreds of early-career professionals into full cycle sellers as Cloud Sales Representatives (CSRs), many within 18&ndash;24 months. You'll be paired with mentors and have access to structured development programs that accelerate your growth from day one. 
 
According to Gartner, AWS is the leading cloud provider in both ability to execute and completeness of vision. With only 5% of all IT spend in the cloud, we are still in the early stages of what is possible, and with the explosion of generative AI, the opportunity has never been larger. You'll be at the forefront, equipped with the most advanced AI-powered sales technology in the industry. Consider this your pit crew advantage &mdash; the tools, training, and teammates that keep you performing at your best. 
 
Key job responsibilities 
<ul><li>Partner closely with Account Teams to develop a deep understanding of the primary industries, accounts, and personas within your territories &mdash; building relationships from technical admins to Line of Business executives.</li><li>Lead top-of-funnel activity: conduct high-quality account research and source net-new contacts at scale to execute high-volume prospecting, lead qualification, and opportunity generation across your assigned territories.</li><li>Drive net-new business via customer acquisition by leveraging one-to-one and one-to-many outbound campaigns, in addition to qualifying leads from marketing and partner channels.</li><li>Expand services breadth and consumption within your existing customer base via account planning and territory management.</li><li>Deliver results against input and output goals, including: contacts sourced, leads qualified, customer calls completed, meetings scheduled, and opportunities created and launched.</li><li>Leverage AI-powered sales intelligence platforms, predictive analytics, and automation tools to identify high-propensity accounts, prioritize outreach, and optimize pipeline development in Salesforce.</li><li>Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic workflows, and advanced personalization engines &mdash; you'll be on the cutting edge of how AI transforms B2B sales, continuously testing and iterating on new approaches to reach unengaged accounts.</li><li>Collaborate with teammates to share best practices, contribute to team learning, and collectively raise the bar for customer engagement.</li></ul> 
We know great candidates don't always check every box. If you're excited about this role but your experience doesn't perfectly match, we encourage you to apply. 
 
About the team 
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.
 
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. 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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 in the cloud.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree or equivalent, or experience in a relevant field</li><li>2+ year(s) of experience in sales, business development, lead generation, or customer-facing roles (internships and non-traditional experience count)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>1+ years of experience in technology sales, SaaS, or cloud services</li><li>Experience with outbound prospecting tools and techniques (cold calling, social selling, email sequencing)</li><li>Experience leveraging or interest in leveraging AI tools to enhance sales workflows, research, and outreach</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, TX, Austin - 31.39 - 54.90 USD hourly 
USA, WA, Seattle - 31.39 - 54.90 USD hourly</div>

Associate Account Executive , Enterprise

Cloud Destinations

Job Title: VoIP Engineer IVNumber of Roles: 1Location: 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)Duration: 6 months CTHJob Notes:Team Structure<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>Job Summary:<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>Knowledge, Skills and Abilities</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>Required Education and Experience</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>Primary Essential Duties</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>Pay: $85.00 - $90.00 per hourApplication Question(s):<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>Work Location: On the road

VoIP Engineer IV (Exp - 15+ years)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Do you enjoy helping U.S. Intelligence Community and Defense agencies implement innovative cloud computing solutions and solve unique technical problems? Would you like to do this using the latest cloud computing technologies and become a core part of the largest cloud infrastructure on the planet? AWS is seeking a ADC Engineer to own and advance mission critical services in our Amazon Dedicated Clouds (ADC). 
 
We are looking for Engineers to work as a team that build new services and deploying them to air-gapped regions and support government customers operating in those regions. You'll be part of a truly innovative team in a fast-paced environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, and believe that world class service is critical to customer success. You'll become an expert at platform diagnosis, response, measurement, and automation. You will design and build the operational scalability that sustains the platform's insane growth. 
 
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. 
 
Key job responsibilities 
<ul><li>Troubleshooting, diagnosing and fixing production software issues</li><li>Developing monitoring solutions</li><li>Performing software maintenance and configuration</li><li>Implementing the fix for internally developed code (Perl, Ruby, C/C++, JAVA, Python)</li><li>Updating, tracking and resolving technical challenges</li><li>Working alongside development on AWS projects</li><li>Updating/enhancing our current software</li><li>Automation of support processes and documentation of our systems</li></ul> 
About the team 
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. 
 
AWS Infrastructure Services (AIS) 
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. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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 in the cloud. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Diverse Experiences 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)</li><li>2+ years of non-internship professional software development experience</li><li>1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience</li><li>4+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience</li><li>Knowledge of systems engineering fundamentals (networking, storage, operating systems)</li><li>Current, active US Government Security Clearance of Top Secret with SCI eligibility or above</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with PowerShell (preferred), Python, Ruby, or Java</li><li>Experience working in an Agile environment using the Scrum methodology</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 129,200.00 - 174,800.00 USD annually</div>

Systems Development Engineer, Platform Engineering & Emerging Technology

Explore 53+ Machine learning engineer web development ai in Seattle this August. Find roles across top companies and apply now to boost your career.