Reinforcement Learning & Data Science Internship
Faridabad, Haryana, India · Full Time internship
2 applicants
- Stipend
- Stipend: INR 35,000 – INR 40,000 / month
- Duration
- 3 months
- Start
- Immediately
- Openings
- 1
Candidates eligible to apply must be able to join full-time, onsite internships starting between late September and early November 2026, have the ability to commit for three months, and reside in or near the listed cities with relevant skills and interests in software development and reinforcement…
- Work mode
- In office
- Resume
- Required to apply
About the internship
About Arakoo
Arakoo is an open-source startup focused on creating infrastructure tailored for the latest generation of AI models similar to ChatGPT, Anthropic, and Bard. Our flagship project, EdgeChains, offers a framework for building large-scale distributed language model AI systems. By combining cutting-edge algorithmic research in large language models with advanced infrastructure and DevOps expertise, we strive to provide seamless scalability.
Internship Responsibilities
- Develop and enhance our Chromium-based reinforcement learning framework utilizing C++, Rust, and Java languages.
- Identify, troubleshoot, and solve software issues related to Chromium, reinforcement learning, and other components of our technology stack.
- Continuously update yourself with the latest advancements in reinforcement learning, as well as related tools like Harbor, Skyrl, and Tinker, and integrate this knowledge into improving our products.
Candidate Eligibility
- Applicants must be available for a full-time, in-office internship.
- Internship start date should be between September 30, 2026, and November 4, 2026.
- Commitment to a 3-month internship duration is required.
- Candidates must reside in or near Faridabad, Delhi, Gurgaon, Jaipur, Noida, or Roorkee.
- Relevant technical skills and keen interest in the domain are essential.
Perks and Benefits
- Certificate of internship completion.
- Letter of recommendation upon successful completion.
- Flexible working hours to accommodate productive work.
- Casual dress code fostering a relaxed environment.
- Complimentary snacks and beverages provided.