Engineering Intern, Together AI
Summer 2025
Cloud platform for building generative AI
Be an early applicant
Cloud platform for building generative AI
21-100 employees
Be an early applicant
21-100 employees
Company mission
To empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models.
Role
Who you are
- Pursuing a degree in Computer Science, Computer Engineering or related field
- Proficient coding in one of these languages: Go, Rust, Python, C/C++, Java, JavaScript
- Strong understanding of data structures, algorithms, and system design
- Thrives in a fast paced environment
What the job involves
- Together AI is seeking exceptional Engineering Interns to join our engineering team for Summer 2025
- You will work on building a next generation AI cloud to power AI teams around the globe and contribute to our mission of advancing open and transparent AI systems
- Work on scalable, high-performance systems that power critical business processes
- Design and implement systems, services and APIs powering an AI-focused cloud platform
- Dive into real-world challenges, including: building Kubernetes operators, building services and UX to manage cloud resources, efficiently scaling inference, real time monitoring and fault-tolerant AI systems
- Collaborate with cross-functional teams to ensure seamless integration of backend systems with front-end applications
- Communicate the plans, progress, and results of projects to the broader team
- Duration: ~12 weeks (Summer 2025)
- Opportunity to work with industry-leading engineers building a cloud from the ground up
- Experience across the layers of a cloud platform - from low-level hardware to higher level cloud applications
- Possibility to contribute to influential open-source projects
Application process
- Please submit your application with: Resume/CV
Our take
Founded in 2022, Together AI is a research-driven AI company that operates a cloud platform for building and running generative AI. The company also contributes to open-source research, models and datasets to advance the use of machine learning.
Together AI's platform enables developers, researchers and businesses to train, fine-tune and deploy generative AI for their needs. With Generative AI gaining a lot of attention recently, the company has some high-profile competitors such as ChatGPT, but its focus on research makes it stand out.
The company has has an incredibly strong start, evidenced by its substantial funding and Unicorn status. It is using these funds to develop its products to cater for larger organisations, as well as expanding its compute capacity across the world.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Mar 2024
$106m
SERIES A
Nov 2023
$102.5m
SERIES A
Total funding: $228.5m
Company benefits
- Competitive health insurance plans
- Dental and vision insurance
- Pre-tax flexible spending accounts
- Mental health support and services
- Income protection & retirement
- 401(k) plan
- AD&D insurance
- Life insurance
- STD & LTD insurance
- Monthly team lunches
- Flexible time off policy
- Team-driven celebrations and events
- Monthly commuting stipend + pre-tax bene
Company values
- Empower Innovation - Everything works best when we help the open-source community work better together
- Discover the magic - Our wonder, curiosity, and hope drive us to find ways to make everyone’s lives better
- Do more with less - We are optimizers, making the most with what we have and not taking more than what we need
- Open to any prompt - We don’t know what’s possible until we try
- Model stewardship - We build everything with the purpose of benefiting society
Company HQ
The Castro, San Francisco, CA
Articles
Leadership
Ce Zhang
(CTO)Previously Professor at ETH Zurich, Postdoc Researcher at Stanford University and Research Assistant at University of Wisconsin-Madison.
Vipul Ved Prakash
(CEO)Previously Senior Director at Apple, CEO and CTO at Topsy and Founder at Cloudmark.
Salary benchmarks
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