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About the Role
The Inference Research team builds next-generation serving systems for large foundation models, focusing on efficient, scalable, and reliable AI. This role involves co-designing software, algorithms, and models to reduce cost and latency in modern AI systems, contributing to advancing open and transparent AI.
Responsibilities
- Design and conduct rigorous experiments to validate hypotheses
- Communicate the plans, progress, and results of projects to the broader team
- Document findings in scientific publications and blog posts
Requirements
- Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field
- Strong knowledge of Machine Learning and Deep Learning fundamentals
- Experience with deep learning frameworks (PyTorch, JAX, etc.)
- Strong programming skills in Python
- Familiarity with Transformer architectures and recent developments in foundation models
Skills
- Machine Learning
- Deep Learning
- PyTorch
- JAX
- Python
- Transformer architectures
- Foundation models
- CUDA programming
- Model optimization techniques
- Hardware acceleration
Location
- Remote
Work Type
- Internship
- Full-time
Experience Level
- Intern
Education Level
- Bachelor's degree
- Master's degree
- Ph.D. degree
Salary/Compensations
- $58 to $70 per hour
Benefits
- Housing stipends
- Competitive benefits
About the Company
- Together AI, the AI Native Cloud, is purpose-built for AI engineers.
- AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own.
- Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
Equal Opportunity
- Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.