Jobs for People with MS: National MS Society

Description

Are you interested in building, developing, and driving the machine learning technical vision, strategy, and implementation for AWS Hardware? AWS Hardware is hiring a Senior Applied Scientist (AS) to lead the definition and prioritization of our customer focused technologies and services. AWS Hardware 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 a senior technical leader 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 a Senior AS at Amazon, you will provide technical leadership to the teams, organization and products for machine learning. Senior AS’s are specialists with deep expertise in areas such as machine learning, speech recognition, large language models (LLMs), natural language processing, computer vision, and knowledge acquisition, and help drive the ML vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing the state-of-the-art for improving Amazon’s products and services.

The ideal candidate will be an expert 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 multiple simultaneous product development and operations initiatives as well as be able to balance technical leadership with strong business judgment 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.

Key job responsibilities

MS in Data Science, Machine Learning, Statistics, Computer Science, Applied Math or equivalent highly technical field.

10+ 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.

3+ 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.

3+ years of experience developing in a cloud environment.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

• 3+ years of building machine learning models for business application experience

• PhD, or Master's degree and 6+ years of building machine learning models for business application experience

• Experience programming in Java, C++, Python or related language

• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

Preferred Qualifications

• 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 $260,000/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.