At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting on the cloud.…
Skills: Machine learning, Generative AI, Natural language processing, Deep learning, Python
Job DetailsJob Location: Pacific Northwest Territory - Seattle, WA 98101Position Type: Full-TimeEducation Level: 4 Year DegreeTravel Percentage: Up to 50% Job Shift: DayJob Category: Sales EngineeringBalluff is a global …
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$143k–$193k/yr
Full-time
postgraduate degree
Health insurance, Dental insurance, Vision insurance, Prescription insurance, Basic life insurance, Supplemental life plans
Posted 31d ago
~40 hrs/week
Responsibilities
You will lead the design and development of innovative Generative AI solutions to improve AWS services and customer experiences. This role involves taking projects from experimental prototypes to live production systems while working with large-scale datasets.
Requirements
Candidates must hold a Master's or PhD in a quantitative field with at least 4 years of relevant experience. Proficiency in programming languages like Python, Java, or C++ and a strong background in machine learning model development are required.
Full job description
At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting on the cloud. We are looking for Applied Scientists to drive innovation with Gen AI to bring paradigm shift to how the business operates and build “best in the world” experience that customers will love!
Some of the science challenges we work on include building Agentic AI systems, fine-tuning Large language models for domain specific use cases, Reinforcement Learning, automated cloud optimization, generating strategic insights and recommendations from very large datasets. You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system.
Our team packs a punch with principal level product, science, engineering, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make history!
About the team ABOUT AWS: 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’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture Here at AWS, it’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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications:
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications:
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in professional software development
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’re applying in isn’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 & AD&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 - 142,800.00 - 193,200.00 USD annually
Related keywords
Machine LearningGenerative AIAWSCloud ComputingNatural Language ProcessingDeep LearningReinforcement LearningAgentic AILarge Language ModelsData MiningNumerical OptimizationDistributed ComputingHigh-Performance ComputingAlgorithmsData StructuresSoftware Development
Based on 3146 listings with disclosed salaries, most engineering jobs in Seattle, WA pay between $100k–$231k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Seattle, WA right now?
There are currently 3,545 open engineering positions in Seattle, WA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Seattle, WA?
Companies currently hiring include Amazon, Blue Origin, Apple, Oracle, Anthropic, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Seattle, WA?
Yes — 978 of the 3545 open engineering positions offer remote or hybrid work (178 remote, 800 hybrid).
How do I apply for Engineering jobs in Seattle, WA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.