Research Scientist, AI Foundations

IBM

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cambridge
Posted: 133 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $220k

$164k $275k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $184,625–$254,750.

Based on 240 similar postings.

Employer

About IBM

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

IBM currently has 237 open roles on FindRole.

Listed pay typically runs $180,812–$215,000 across 9 roles with salary data.

Most-posted roles

View all roles at IBM

At a glance

TL;DR · Research Scientist, AI Foundations

Role Posting Log in to save

Research Scientist - AI Foundations joins IBM Research to lead cutting-edge projects in artificial intelligence and machine learning. The role involves conducting research and development on frontier topics, specifically focusing on long-horizon memory for self-evolving models. You will develop innovative AI approaches using rigorous and quantitative methods to solve complex analytical problems, such as enterprise document understanding and quantum computing. Daily responsibilities include designing experiments to evaluate algorithm properties, integrating research into usable systems, and publishing findings in top-tier conferences like NeurIPS, CVPR, and ICML. Required expertise includes hands-on experience with large language and multimodal models, transformer models, statistical inference, and strong programming skills. You will solve technical problems by building AI memory models and systems for long-horizon reasoning or self-evolving agents.

What does a Research Scientist earn?

Median $216250 from 52 postings across 15 companies.

See salary data

Skills

Artificial Intelligence Machine Learning Multimodal Models Transformer Models Statistical Inference Quantum Computing High-Performance Computing Hybrid Cloud Research Algorithms

What you'll do

Develop innovative AI approaches to solve complex analytical problems using rigorous and quantitative methods.
Conduct research and development on frontier AI projects like long-horizon memory for self-evolving models.
Design and conduct experiments to demonstrate algorithm properties and evaluate their impact on user experiences.
Integrate research algorithms into usable systems to ensure seamless functionality and optimal performance.
Share research findings with technical communities through publications in top-tier conferences and journals.
Apply knowledge of transformer models and statistical inference to develop and embed research algorithms.

What we're looking for

Doctorate Degree (preferred)
Hands-on experience with large language and multimodal models
Solid knowledge in transformer models and statistical inference
Strong programming skills
Great problem solving skills with a desire for quality and engineering excellence
Publications in top-tier AI conferences
Hands-on experience building AI memory models and systems for long-horizon reasoning or self-evolving agents (preferred)

Save