Job Information
Amazon Applied Scientist in Cupertino, California
Description
Are you interested in building, developing, and driving the machine learning systems for AWS Hardware Engineering? AWS Hardware Engineering is hiring an Applied Scientist (AS) to implement our customer focused technologies and services. AWS Hardware Engineering is responsible for designing, qualifying, and maintaining server solutions for AWS and its customers as well as developing new cloud focused hardware solutions. You will be an Applied Scientist in the existing Data Sciences and Analytics Team, build, and drive the data science and machine learning needed for our product development and operations.
As an Applied Scientist at Amazon, you will collaborate with the teams, organization and products for machine learning. AS’s have hands-on experience in areas such as machine learning, speech recognition, large language models (LLMs), natural language processing, computer vision, and knowledge acquisition, and help build the ML vision for our products.
The ideal candidate will have prior domain knowledge in the areas of data science, machine learning, and statistics; specifically in recommendation systems development, classification, and LLMs. You will have hands-on experience leading product development and operations initiatives as well as be able to make the right decisions about technology, infrastructure, methodologies, and productionizing models and code. You will strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof.
This role falls within the broader AWS Infrastructure Services (AIS) organization, which owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’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 — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
About the team
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.
Amazon Web Services (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’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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’s nothing we can’t achieve in the cloud.
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 (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA
Basic Qualifications
PhD, or MS in Data Science, Machine Learning, Statistics, Computer Science, Applied Math or equivalent highly technical field.
3+ years of hands-on experience working in data science and/or machine learning using models and methods such as neural networks, random forests, SVMs or Bayesian classification.
2+ years developing recommendation systems and/or LLMs.
3+ years of experience working in software development, machine learning engineering or ops.
Have a history of building highly scalable systems that capture and utilize large data sets in order to quantify your products performance via metrics, monitoring, and alarming.
Experience using R, Python, Java, or other equivalent statistics and machine learning tools.
Experienced in computer science fundamentals such as object-oriented design, data structures and algorithm design.
2+ years of experience developing in a cloud environment.
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
Experience using Unix/Linux -Experience in professional software development
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.