Join the Research
Noema Labs is a globally-distributed team building reasoning-aligned multilingual models. We're looking for passionate researchers and engineers to join our mission.
Why Join Us?
- Work on cutting-edge research in multilingual AI and reasoning alignment
- Collaborate with a diverse, global team of researchers and engineers
- Contribute to open science and make AI more equitable across languages
- Flexible, remote-first environment with focus on impact
How to Apply
To apply for any of our open positions, please send an email to noemalabs@proton.me with the following:
- •Position title in the subject line
- •Your CV/resume
- •Brief cover letter explaining your interest and relevant experience
- •Links to your GitHub, papers, personal website, or other relevant work
Open Roles
Research Scientist
Focus on multilingual reasoning and alignment
RemoteFull-time
Research Scientist
Focus on multilingual reasoning and alignment
About the Role
We're looking for researchers with experience in NLP, multilingual models, or reasoning alignment to help advance our core research agenda.
You'll work on developing novel techniques for aligning language models with human reasoning across diverse linguistic and cultural contexts.
Responsibilities
- •Design and implement experiments to improve reasoning capabilities in multilingual models
- •Develop novel evaluation methods for assessing reasoning across languages
- •Collaborate with the team to publish research findings at top conferences
- •Contribute to open-source model development and release
Requirements
- •PhD or MS in Computer Science, Linguistics, or related field
- •Experience with transformer-based language models
- •Strong programming skills in Python and PyTorch
- •Publication record in NLP, ML, or related fields
- •Passion for open science and multilingual AI
Nice to Have
- •Experience with multilingual NLP
- •Familiarity with reasoning benchmarks and evaluation
- •Open-source contributions to ML libraries or models
ML Engineer
Build and optimize training infrastructure
RemoteFull-time
ML Engineer
Build and optimize training infrastructure
About the Role
Help us scale our training infrastructure and implement efficient training methods for multilingual models.
You'll focus on making our research accessible by optimizing models for consumer hardware.
Responsibilities
- •Develop and maintain training infrastructure for large language models
- •Implement efficient fine-tuning techniques like QLoRA and Unsloth
- •Optimize models for inference on consumer hardware
- •Create reproducible training pipelines for research experiments
Requirements
- •BS or MS in Computer Science or related field
- •Strong experience with PyTorch and distributed training
- •Familiarity with language model training and optimization
- •Experience with cloud infrastructure (AWS, GCP, or Azure)
- •Strong programming skills in Python
Nice to Have
- •Experience with CUDA programming
- •Familiarity with quantization techniques
- •Knowledge of efficient transformer implementations
Evaluation Specialist
Design and implement cross-lingual evaluation
RemoteFull-time / Part-time
Evaluation Specialist
Design and implement cross-lingual evaluation
About the Role
Create robust evaluation frameworks to assess reasoning capabilities across languages and cultural contexts.
You'll help ensure our models perform consistently across diverse linguistic environments.
Responsibilities
- •Design comprehensive evaluation benchmarks for multilingual reasoning
- •Develop methods to assess cultural sensitivity and appropriateness
- •Create tools for automated and human evaluation of model outputs
- •Analyze evaluation results to identify improvement areas
Requirements
- •BS or MS in Linguistics, Computer Science, or related field
- •Experience with NLP evaluation methodologies
- •Familiarity with multiple languages (at least 3)
- •Strong analytical and data processing skills
- •Experience with annotation projects or dataset creation
Nice to Have
- •Background in cross-cultural communication
- •Experience with crowdsourcing platforms
- •Knowledge of psycholinguistics or cognitive science