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  • The site is refreshed daily to remove out-of-date content.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.

Job Information

Amazon Applied Scientist-LLM, Amazon in Seattle, Washington

Description

Do you want to be part of the team developing the future technology that impacts the customer experience of ground-breaking products? Then come join us and make history.

We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, NLP, to help build LLM solutions for Amazon core shopping.

Our team works on a variety of projects, including state of the art generative AI, LLM finetuning, alignment, prompt engineering, benchmarking solutions.

Key job responsibilities

As an Applied Scientist will be expected to work on state of the art technologies which will result in papers publications, however you will not be only theorizing about the algorithms, but you will also have the opportunity to implement them and see how they behave in the field.

This is an incredible opportunity to validate your research on one of the most exciting Amazon AI products, where assumptions can be tested against real business scenarios and supported by an abundance of data.

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

Santa Clara, CA, USA | Seattle, WA, USA

Basic Qualifications

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

  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

  • Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Preferred Qualifications

  • Experience implementing algorithms using both toolkits and self-developed code

  • Have publications at top-tier peer-reviewed conferences or journals

  • Experience in LLM finetuning, pretraining, testing, and prompt engineering.

  • Experience building machine learning models or developing algorithms for business application

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 $129,400/year in our lowest geographic market up to $212,800/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.

DirectEmployers