Job description

DeepInfra is seeking talented and motivated Software Engineering Interns to join our team. As an intern, you will be working closely with our experienced engineering team to design, develop, and deploy the top open AI models at scale. This is an excellent opportunity to gain hands-on experience in building scalable and efficient software systems, while working on cutting-edge AI models and algorithms. What You’ll Do • Collaborate with the engineering team to design, develop, and test inference solutions for the top AI models. • Implement and optimize AI models using Python, C++, CUDA, NCCL • Monitor and maintain the live service. • Work on feature development, bug fixing, and code reviews to ensure high-quality software delivery • Participate in daily stand-ups, code reviews, and design discussions to ensure seamless collaboration • Stay up-to-date with industry trends and advancements in AI and machine learning • Try new things • Ship stuff What You Bring • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field • Strong fundamental knowledge in computer science, including data structures, algorithms, and software design patterns • Proficiency in Python, including experience with AI/ML libraries and frameworks (e.g., NumPy, pandas, SciPy, TensorFlow, PyTorch) • Familiarity with AI models, Transformers and Diffusers • Experience with version control systems (e.g., Git) and agile development methodologies • Excellent problem-solving skills, with the ability to debug and optimize code • Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams Why DeepInfra • Work on cutting-edge AI model serving - the systems that power the next generation of LLMs and multimodal models. • Small team, huge impact: your work ships directly to customers. • Opportunity to learn from engineers building high-performance inference at scale. • Fast-paced environment with ownership, autonomy, and end-to-end responsibility. How we work Three traits define the people who thrive here, and this role leans on all three. Initiative. We take ownership and step in where we can add value. Whether it’s starting something new, improving what exists, or helping move ideas forward, we aim to be proactive and thoughtful in how we contribute. Drive. We’re energized by hard problems. Building AI infrastructure is complex, and we lean into that. We care about doing things well, moving fast, and continuously improving — because solving meaningful challenges is what motivates us. Grit. Things don’t always work on the first try — and that’s expected. We stay persistent, adapt quickly, and learn as we go. We take setbacks seriously, but not personally, and use them to get better. Compensation Monthly range: 7000-8000/month USD

Requirements

Must-haves

What You’ll Do
Collaborate with the engineering team to design, develop, and test inference solutions for the top AI models.
Implement and optimize AI models using Python, C++, CUDA, NCCL
Monitor and maintain the live service.
Work on feature development, bug fixing, and code reviews to ensure high-quality software delivery
Participate in daily stand-ups, code reviews, and design discussions to ensure seamless collaboration
Stay up-to-date with industry trends and advancements in AI and machine learning
Try new things
Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
Strong fundamental knowledge in computer science, including data structures, algorithms, and software design patterns
Proficiency in Python, including experience with AI/ML libraries and frameworks (e.g., NumPy, pandas, SciPy, TensorFlow, PyTorch)
Familiarity with AI models, Transformers and Diffusers
Experience with version control systems (e.g., Git) and agile development methodologies
Excellent problem-solving skills, with the ability to debug and optimize code
Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams
Why DeepInfra
Work on cutting-edge AI model serving - the systems that power the next generation of LLMs and multimodal models.
Small team, huge impact: your work ships directly to customers.
Opportunity to learn from engineers building high-performance inference at scale.
Fast-paced environment with ownership, autonomy, and end-to-end responsibility.
Three traits define the people who thrive here, and this role leans on all three.
Initiative. We take ownership and step in where we can add value. Whether it’s starting something new, improving what exists, or helping move ideas forward, we aim to be proactive and thoughtful in how we contribute.
Grit. Things don’t always work on the first try — and that’s expected. We stay persistent, adapt quickly, and learn as we go. We take setbacks seriously, but not personally, and use them to get better.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aipythonmachine learningmlagilego

Platform: gem
Effort: medium