AI-ML Intern

VoiceArena is an emerging AI‑driven startup that focuses on building the next generation of speech‑centric products. The company’s mission is to make voice the primary interface between humans and machines, and it does so by creating large‑scale benchmarks, high‑quality datasets, and cutting‑edge AI models that power some of the world’s most widely used speech recognition systems. With a team of seasoned researchers, engineers, and product designers, VoiceArena has quickly become a go‑to partner for enterprises looking to embed natural conversational AI into their applications.

The work culture emphasizes rapid experimentation, data‑driven decision making, and a collaborative environment where every intern’s contribution can directly influence a product that reaches millions of users.

The AI‑ML Intern role is designed for fresh engineering graduates who are passionate about speech processing, machine learning, and building real‑world AI solutions. As an intern, you will work closely with senior ML engineers and research scientists on projects that span data collection, model training, evaluation, and deployment. You will get hands‑on exposure to the entire lifecycle of speech AI, from curating diverse voice datasets to fine‑tuning transformer‑based acoustic models, and you will see your work integrated into live services used by customers worldwide.

Key responsibilities include

• Collecting, cleaning, and annotating large speech datasets to improve model robustness.
• Implementing and benchmarking state‑of‑the‑art speech recognition architectures such as Conformer, wav2vec 2.0, and transformer‑based encoders.
• Developing data augmentation pipelines (noise injection, speed perturbation, etc.) to enhance model generalization.
• Conducting error analysis on model outputs and proposing corrective strategies.
• Writing efficient Python scripts for data preprocessing, feature extraction, and model training on GPU clusters.
• Collaborating with product managers to translate business requirements into technical specifications.
• Documenting experiments, maintaining reproducible notebooks, and presenting findings to the team.
• Assisting in the deployment of inference pipelines using Docker and Kubernetes.
• Staying updated with the latest research papers in speech AI and suggesting innovative ideas.
• Participating in code reviews and adhering to the team’s coding standards.

The tech stack primarily includes Python, PyTorch/TensorFlow, Kaldi, Hugging Face Transformers, Docker, and cloud platforms such as AWS or GCP for compute resources. Familiarity with Linux, Git, and basic signal processing concepts will be advantageous. The internship spans 6‑12 months, offering a paid stipend and the possibility of a full‑time offer based on performance.

VoiceArena encourages continuous learning; interns are given access to internal research talks, external conferences, and mentorship from senior scientists. Joining VoiceArena means being part of a fast‑growing ecosystem where your ideas can shape the future of voice AI, offering a unique blend of research depth and product impact. The company’s inclusive culture, flexible working hours, and emphasis on work‑life balance make it an ideal launchpad for aspiring AI professionals.