Senior Data Scientist, Artificial General Intelligence

DESCRIPTION The Artificial General Intelligence (AGI) team is seeking a Senior Data Scientist with expertise in a breadth of Machine Learning (ML) and deep learning techniques. Your responsibilities will include developing, prototyping, and supporting the production of innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard multimodal architectures with Large Language Models (LLMs) and GenAI in Computer Vision
- Show proficiency in both supervised (Linear/Logistic Regression) and unsupervised algorithms (k means clustering)
- Understand the business reality behind large data sets and develop meaningful solutions comprising of analytics, as well as written narratives
- Work closely with internal stakeholders including business, engineering, and partner teams and align them with respect to your focus area
- Innovate by adapting new modeling techniques and procedures
- Develop, manage, and work with large datasets (training/fine tuning) and bring datasets together to answer business questions
- Implement and operate stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
- Work with distributed machine learning and statistical algorithms to harness large datasets at scale, to serve our customers
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA | Boston, MA, USA BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
- Experience with Large Language Models (LLMs) and multimodal architectures
- Experience with deep learning and supporting ML solutions for business application
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 5+ years experience as a data scientist or similar role involving data extraction, analysis, statistical modeling, and business communication