Al Research Intern

Candidates typically face a timed online coding test focusing on Python and basic ML concepts, followed by a technical interview where they discuss recent papers, implement small model snippets, and solve design problems. The HR round assesses cultural fit and motivation. Preparation should include reviewing recent AI conferences and practicing PyTorch/JAX coding.

Pexcera fosters a research‑first culture where curiosity is rewarded and failures are treated as learning opportunities. Employees enjoy flexible remote work, regular knowledge‑sharing sessions, and clear growth tracks from intern to senior researcher.

B.Tech/M.Tech/M.Sc./PhD students in Computer Science, Electrical Engineering, Information Technology or related fields; minimum 60% aggregate (or CGPA 6.5/10); no active backlogs; batch year 2024‑2027 accepted; strong foundation in mathematics and machine learning fundamentals.

Round 1: Online coding test (Python/ML fundamentals) → Round 2: Technical interview (research concepts, PyTorch/JAX coding) → Round 3: HR interview (fit, motivation, internship logistics)

Pexcera is an emerging AI‑driven technology startup that focuses on building cutting‑edge large language models and intelligent automation solutions for enterprises. Founded by a group of researchers from premier Indian institutes, the company blends academic rigor with product‑centric engineering, aiming to democratise advanced AI capabilities for Indian businesses. Over the past two years, Pexcera has secured seed funding, partnered with several Fortune 500 clients, and published research papers in top conferences, establishing a reputation for innovative research and rapid prototyping. The AI Research Intern role is a 3‑6 month remote internship designed for students who are passionate about deep learning research beyond classroom tutorials. Interns will work directly under senior researchers, get hands‑on access to high‑end GPUs, and contribute to real‑world experiments that could lead to conference publications or product features. This is not a generic data‑entry internship; it offers genuine research exposure, mentorship, and a clear pathway to a full‑time position for high‑performing candidates. Key Responsibilities: 1. Conduct literature reviews on state‑of‑the‑art models and techniques. 2. Design, implement, and benchmark novel model architectures using PyTorch or JAX. 3. Run large‑scale experiments on GPU clusters, log results, and analyse performance metrics. 4. Write clear, reproducible code and maintain version control using Git. 5. Collaborate with cross‑functional teams (product, data engineering) to translate research insights into prototypes. 6. Document findings in internal reports and assist in drafting research papers. 7. Participate in weekly research meetings, presenting progress and challenges. 8. Contribute to open‑source components of Pexcera’s AI stack where applicable. 9. Stay updated with the latest AI conferences and incorporate relevant ideas into ongoing projects. 10. Provide feedback on tooling and infrastructure to improve the research workflow. Tech Stack: Python, PyTorch, JAX, CUDA, Linux, Git, Docker, MLflow, and common NLP libraries such as Hugging Face Transformers. Growth Path: Successful interns may receive a full‑time offer as a Research Engineer or Machine Learning Engineer. The company encourages continuous learning, supports conference attendance, and offers a mentorship programme that can fast‑track career progression into senior research roles. Why Join Pexcera? You will work on frontier AI problems, gain mentorship from PhDs and industry veterans, and see your work potentially shape products used by leading enterprises. The remote setup offers flexibility, while the stipend is competitive for Indian interns. Moreover, the culture promotes curiosity, open discussion, and rapid iteration, making it an ideal launchpad for a career in AI research.