Together AI is looking to lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. They aim to advance the frontier of AI and build the next generation of AI infrastructure.
Requirements
- Strong programming skills in Python and familiarity with ML frameworks
- Deep understanding of machine learning concepts (e.g., supervised/unsupervised learning, neural networks, reinforcement learning).
- Experience with data structures, algorithms, and software engineering principles.
- Bonus: Contributions to open-source ML projects, research papers, or experience with large-scale distributed systems.
Responsibilities
- Implement and optimize machine learning models and algorithms
- Collaborate with researchers to design, run, and analyze experiments using frameworks like PyTorch or TensorFlow.
- Build and maintain infrastructure for training and evaluating AI models
- Contribute to research discussions, proposing ideas to advance our understanding of AI systems.
- Write clean, well-documented code and participate in code reviews.
- Stay updated on the latest advancements in machine learning and AI safety.
Other
- Bachelor’s degree (or equivalent) in Computer Science, Machine Learning, Mathematics, or a related field, earned or expected by Summer 2026.
- Ability to balance research exploration with practical implementation and communicate findings clearly.
- Passion for AI research and its societal impact.
- We welcome applications from all new grads excited about AI, even if you don’t meet every qualification.