Internship

Research Intern

Confirmed live in the last 24 hours

Together AI

Together AI

51-200 employees

Decentralized cloud services for AI development

Enterprise Software
AI & Machine Learning

London, UK + 1 more

More locations: San Francisco, CA, USA

Internship requires presence in one of the specified cities.

Category
AI Research
AI & Machine Learning
Required Skills
Python
Pytorch
Machine Learning
C/C++

You match the following Together AI's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Currently pursuing a 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
  • Strong programming skills in C++ (for kernel development)
  • Familiarity with Transformer architectures and recent developments in foundation models
Responsibilities
  • Research and implement novel techniques in one or more of our focus areas
  • Design and conduct rigorous experiments to validate hypotheses
  • Document findings in scientific publications and blog posts
  • Integrate the research results into Together products
  • Communicate the plans, progress, and results of projects to the broader team
Desired Qualifications
  • Prior research experience with foundation models or efficient machine learning
  • Publications at leading ML conferences (such as NeurIPS, ICML, or ICLR)
  • Experience with CUDA programming (for kernel development)
  • Understanding of model optimization techniques and hardware acceleration approaches
  • Contributions to open-source machine learning projects

Together AI focuses on enhancing artificial intelligence through open-source contributions. The company offers decentralized cloud services that allow developers and researchers from various organizations to train, fine-tune, and deploy generative AI models. Their services cater to a wide range of clients, including small startups, large enterprises, and academic institutions. Together AI's business model is based on providing cloud-based solutions, generating revenue through service subscriptions and usage fees. What sets Together AI apart from its competitors is its strong commitment to open and transparent AI systems, which aims to foster innovation and achieve beneficial outcomes for society.

Company Stage

Series A

Total Funding

$222.3M

Headquarters

Menlo Park, California

Founded

2022

Growth & Insights
Headcount

6 month growth

0%

1 year growth

5%

2 year growth

6%
Simplify Jobs

Simplify's Take

What believers are saying

  • Together AI's access to Meta's Llama 3.2 Vision expands its multimodal AI capabilities.
  • FlashAttention-3 optimizes Nvidia GPUs, reducing costs and improving AI model performance.
  • Decreasing AI model costs, like DeepSeek R1, allow Together AI to offer competitive pricing.

What critics are saying

  • DeepSeek R1's low-cost model pressures Together AI to lower its prices.
  • CodeSandbox integration may divert resources from core AI development activities.
  • Increasing AI regulations could impose additional compliance costs on Together AI.

What makes Together AI unique

  • Together AI focuses on open-source contributions, enhancing transparency and innovation.
  • The company offers decentralized cloud services for AI model training and deployment.
  • Together AI's acquisition of CodeSandbox adds a code interpreter to its platform.

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Benefits

Health Insurance

Company Equity