As a Senior Research Scientist - TS/SCI (FSP), you will join the IBM Consulting team as a seasoned Data Scientist specializing in Artificial Intelligence. You will architect and deliver AI solutions focusing on foundation models and large language models while managing the full project lifecycle from research and prototyping to production deployment. Your daily work involves developing cognitive computing systems to process structured and unstructured data using Python, TensorFlow, PyTorch, Keras, SciKit Learn, Pandas, and Matplotlib. You will also utilize tools like Github Copilot and Amazon Code Whisperer within cloud platforms and NoSQL databases. This role addresses complex cognitive computing challenges and advanced research problems in areas such as quantum information science, circuit fabrication, and algorithm development for future computing systems to solve intricate business problems and drive technical innovation.
What does a Research Scientist earn?
Median $216250 from 42 postings across 13 companies.
Design and deliver AI solutions using foundation models and large language models.
Develop cognitive computing systems to process both structured and unstructured data.
Manage the full AI project lifecycle from research and prototyping to production deployment.
Utilize Python and frameworks like TensorFlow, PyTorch, and Keras to solve complex business problems.
Optimize AI systems using libraries such as SciKit Learn, Pandas, and Matplotlib.
Implement AI solutions across cloud platforms using relational and NoSQL databases.
Leverage tools like Github Copilot and Amazon Code Whisperer to accelerate development.
What we're looking for
TS/SCI clearance and full-scope polygraph required on Day 1.
Bachelor's degree in computer science, electrical engineering, physical sciences, or a related technical field.
Master's degree in computer science, electrical engineering, physical sciences, or a related technical field (preferred).
12+ years of experience in science and applied research in a relevant technical discipline.
4+ years of experience in specific applied research areas including algorithms, circuit/system fabrication, quantum information science, or materials characterization.
Demonstrated experience planning and conducting research, designing, developing, and executing scientific studies.
Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, SciKit Learn, Pandas, and Matplotlib.
Experience supporting federal clients in defense, intelligence, or national security (preferred).
Machine Learning
Deep Learning
Natural Language Processing
LLMs
Embedding Models
Rerankers
Distributed Training
Information Retrieval
Neural Networks
RAG
Semantic Search
Machine Learning
Signal Processing
Numerical Analysis
Optimization
Linear Algebra
Differential Equations
Scientific Computing
Agile Development
Modeling and Simulation