Join Our Mission
Help us advance the state of the art in AI
Why Join Fundamental.ai?
Learn and Grow
Work on breakthrough LLM technologies that will define the future of artificial intelligence. Your research will push the boundaries of what's possible.
Push the Frontier
Collaborate with exceptional minds including former Apple executives and leading AI researchers in an intimate, high-impact environment.
Intellectual Freedom
Pursue ambitious ideas without bureaucratic constraints. We value curiosity, creativity, and the pursuit of fundamental breakthroughs.
Work Remotely
Work hard but in the US time zones of your choice. We treasure collaboration.
State-of-the-Art Environment
Work with cutting-edge infrastructure and unlimited computational resources. Focus on research, not infrastructure limitations.
Competitive Package
Equity participation in a revolutionary company, competitive compensation, and comprehensive benefits for you and your family.
Open Positions
LLM Data Research Engineer
We are seeking a highly skilled LLM Training & Dataset Engineer to join our team. This role focuses on building and refining large language models by designing training pipelines, generating high-quality datasets (including synthetic data), and applying advanced post-training methods. The ideal candidate will bring hands-on experience in model training at scale, metrics, experimentation, validation and optimization.
Key Requirements:
- Masters in Computer Science or AI
- Hands-on experience generating and managing large-scale datasets
- Familiarity with evaluation benchmarks and metrics for LLMs.
- Build tools for dataset quality assessment, filtering, and augmentation.
- Strong programming skills in Python and experience with modern ML tooling.
LLM Post-training Researcher
We are seeking a highly skilled researcher or engineer to join our team. This role focuses on post-training methods including fine-tuning, instruction-following, RLHF, and alignment. The ideal candidate will bring hands-on experience in all those methods.
Key Requirements:
- Masters or PhD in Computer Science or AI
- Mathematics background, notably probabilities
- Hands on experience with LLM post-training reinforcement learning
- Familiarity with evaluation benchmarks, quality assessment and metrics for LLMs.
- Strong programming skills in Python and experience with modern ML tooling.
- Out of the box thinking
LLM Reasoning Research Engineer
We are seeking a highly skilled LLM Reasoning researcher to join our team. This role focuses on building data sets and model architectures to develop reasoning. The ideal candidate will bring hands-on experience in developing training data sets and optimizing for reasoning abilities.
Key Requirements:
- Masters or PhD in Computer Science or AI
- Experience with English reasoning data sets like GSM8K
- Hands-on experience generating and managing large-scale datasets
- Familiarity with evaluation benchmarks and metrics for LLMs.
- Strong programming skills in Python and experience with modern ML tooling.
- Out of the box thinking
Full-stack Engineer
We are seeking a highly skilled full-stack engineer to join our team. This role focuses on designing, building, and maintaining tools and infrastructure to support our research activities. You’ll be working closely with the research team to create state-of-the-art tools.
Key Requirements:
- Masters in Computer Science
- Experience creating apis and scalable services
- Strong programming skills in Rust, Javascript/HTML and Python
- Database design and management
- Familiarity with cloud platforms (AWS, etc.) and containers