Applied Scientist I
Apply NowCompany: Intelliswift
Location: Seattle, WA 98115
Description:
Job ID: 24-05226
Pay rate range - $55/hr. $58/hr. on W2
Seattle, WA - Will start out as hybrid (3 days in the office) but will need to be fully onsite (5 days a week) starting January 2025
Job Description:
We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, NLP, and computer vision to help build solutions.
KEY JOB RESPONSIBILITIES:
As an Applied Scientist, you will be expected to work on state-of-the-art technologies, with the opportunity to implement them and see how they behave in the field.
This is an incredible opportunity to leverage large multi-modal models for real business scenarios and is supported by an abundance of data.
BASIC QUALIFICATIONS:
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience programming in Python
- Advanced degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field
- Experience building machine learning models or developing algorithms for business application
- Experience in LLM finetuning, testing, and prompt engineering
PREFERRED QUALIFICATIONS:
- Prior experience with AWS tools such as SageMaker, Lambda, etc., and Pytorch/Keras/TensorFlow
- Experience implementing algorithms using both toolkits and self-developed code
- PhD in computer science, mathematics, statistics, machine learning, or equivalent quantitative field
Pay rate range - $55/hr. $58/hr. on W2
Seattle, WA - Will start out as hybrid (3 days in the office) but will need to be fully onsite (5 days a week) starting January 2025
Job Description:
We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, NLP, and computer vision to help build solutions.
KEY JOB RESPONSIBILITIES:
As an Applied Scientist, you will be expected to work on state-of-the-art technologies, with the opportunity to implement them and see how they behave in the field.
This is an incredible opportunity to leverage large multi-modal models for real business scenarios and is supported by an abundance of data.
BASIC QUALIFICATIONS:
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience programming in Python
- Advanced degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field
- Experience building machine learning models or developing algorithms for business application
- Experience in LLM finetuning, testing, and prompt engineering
PREFERRED QUALIFICATIONS:
- Prior experience with AWS tools such as SageMaker, Lambda, etc., and Pytorch/Keras/TensorFlow
- Experience implementing algorithms using both toolkits and self-developed code
- PhD in computer science, mathematics, statistics, machine learning, or equivalent quantitative field