Amazon Jobs

Location As part of our LSG team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state We constantly push the state of the art to deploy state of the art ML and AI techniques into our large scale systems and finding new ways to delight our customers Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud and follow all federal, state, and local laws and Company policies 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 Pay is based on a number of factors including market location and may vary depending on job com/workplace/employee Salary scale computing resources to accelerate advances in systems and machine learning Experience with conducting research in a corporate setting Our compensation reflects the cost of labor across several US geographic markets The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market Amazon is a total compensation company on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits Job Description Description Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning, systems, applied statistics and natural language technologies background to join our Learned Systems Group (LSG) and help build industry leading large scale applied ML, AI and GenAI systems of the art in systems, machine learning, artificial intelligence and human language technology A day in the life Your work will directly impact millions of our customers in the form of products and services, as well as contributing to the wider research community The Learned Systems Group at AWS helps build the scientific foundations of our analytics systems, including Redshift, Athena and RDS We are constantly faced with large scale systems and we apply rigorous research methods to improve them with efficient and scalable innovative solutions from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply 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 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 Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status Los Angeles County applicants work safely and cooperatively with other employees, supervisors, and staff adhere to standards of excellence despite stressful conditions Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records Our inclusive culture empowers Amazonians to deliver the best results for our customers //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 For more information, please visit https //www This position will remain posted until filled Applicants should apply via our internal or external career site Responsibilities • Key job responsibilities • As a part of the LSG, you'll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging AWS resources, one of the world's leading cloud companies and you'll be able to publish your work in top tier conferences and journals • You will gain hands on experience with Amazon's heterogeneous large scale distributed systems, text and structured data sources, and large • As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services • That's why you'll find endless knowledge • Job duties for this position include • Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service • 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's reputation Requirements • Diverse Experiences • AWS values diverse experiences • If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying • Basic Qualifications • 3+ years of building machine learning models for business application experience • PhD, or Master's degree and 6+ years of applied research experience • Experience programming in Java, C++, Python or related language • Experience with neural deep learning methods and machine learning • Preferred Qualifications • Experience in applied research • Experience in building machine learning models for business application • Related knowledge, skills, and experience Benefits • AWS Utility Computing (UC) provides product innovations • Dependent on the position offered, equity, sign • Benefits About About the team aboutamazon