AI Foundations - Research Software Engineer

IBM

Quick summary

Work type: On-site
Location: Cambridge, MA
Posted: 8 days ago

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Similar $198k

$151k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $160,100–$235,750.

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IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · AI Foundations - Research Software Engineer

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As a Research Software Engineer at IBM Research in Cambridge, MA, you will join the AI Foundations team to develop cutting-edge natural language processing and deep learning technologies. Your role involves designing, training, and analyzing large language models using Transformer architectures, bridging theoretical research with practical applications. Day-to-day responsibilities include rapid prototyping of AI solutions, managing complex data pipelines, and developing interactive analytical tools for model analysis. Proficiency in Python and PyTorch is essential, along with experience in Rust or C++ for systems programming. This position offers the chance to collaborate with leading scientists on groundbreaking research and publish findings at top industry venues.

Skills

Python PyTorch Transformer architectures Large Language Models (LLMs) Rust C++ Mechanistic interpretability Data pipelines Interactive analytical tools Visualization tools

What you'll do

Design, train, and analyze large language models using deep learning frameworks like PyTorch.
Develop and iterate on rapid prototypes of AI-driven solutions to enhance practical applications.
Build and manage complex data pipelines for efficient processing and analysis of large datasets.
Collaborate with scientists to advance the interpretability of AI models through mechanistic approaches.
Create interactive analytical tools for comprehensive model analysis and visualization.

What we're looking for

Deep expertise in NLP, deep learning, and foundation model development.
Hands-on experience with Transformer architectures and Large Language Models (LLMs).
Strong Python programming skills and proficiency in PyTorch.
Ability to rapidly prototype and iterate on AI-driven solutions.
Experience designing and managing large-scale data pipelines.

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