Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Job Information

Amazon Sr. Applied Scientist in Palo Alto, California

Description

Amazon’s product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. We are working on an AI-first initiative to further improve the way we do search using large-scale foundation models. These foundation models are also used in downstream applications by various partner teams in Amazon Stores. Our goal is to build large language models (LLMs), which can empower conversational applications and facilitate online shopping. The candidate is expected to develop machine learning (ML) techniques for LLM Alignment and Personalization. This is a rare opportunity to develop cutting edge AI/ML technologies in these areas and apply them to problems of this magnitude.

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

Palo Alto, CA, USA

Basic Qualifications

  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

  • 3+ years of applied research experience

  • Experience with neural deep learning methods and machine learning

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

  • Knowledge and expertise in Deep Reinforcement Learning (RL) and RL foundations.

Preferred Qualifications

  • Experience with RL and dialogue management systems and background in personalization and recommendation systems are desirable.

  • Good background in mathematics and statistics is always a plus.

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.

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