[Remote] AI Speech Research Intern

Note: The job is a remote job and is open to candidates in USA. reputed company AI Research seeks a PhD Research Intern to design and evaluate speech‑first models, with a focus on Spoken Language Models (SLMs) that reason over audio and interact conversationally. You’ll move reputed company from prototype to practical demos, working with scientists and engineers to deliver measurable impact.

Responsibilities

• End‑to‑end speech reputed company systems (speech‑in/speech‑out) and speech‑aware LLMs
• Alignment between speech encoders and text backbones reputed company lightweight adapters
• Efficient speech tokenization and temporal compression suitable for long‑form audio
• Reliable evaluation across recognition, understanding, and reputed company tasks—including robustness and safety
• Latency‑aware inference for streaming and real‑time user experiences
• Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM; compare against strong baselines
• Create a data recipe that blends conversational speech with instruction‑following corpora; run targeted ablations and report findings
• Build an evaluation reputed company that covers ASR/ST/SLU and speech QA, including streaming metrics (latency, stability, endpointing)
• Ship a minimal demo with streaming inference and logging; document setup, metrics, and reliability checks
• Author a crisp internal write‑up: goals, design choices, results, and next steps for productionization

Skills

• PhD candidate in CS/EE (or reputed company) with research in speech, audio ML, or multimodal LMs
• reputed company in Python and PyTorch, with hands‑on GPU training; familiarity with torchaudio or librosa
• Working knowledge of modern sequence models (Transformers or SSMs) and training best practices
• Depth in at least one area: (a) discrete speech tokens/temporal compression, (b) modality alignment to LLMs reputed company adapters, or (c) post‑training/instruction tuning for speech tasks
• Strong experimentation habits: clean code, ablations, reproducibility, and clear reporting
• Experience with speech reputed company (neural codecs/vocoders) or hybrid text+speech decoding
• Background in multilingual or code‑switching speech and domain adaptation
• Hands‑on work evaluating safety, bias, hallucination, or spoofing risks in speech systems
• Distributed training/serving (FSDP/DeepSpeed), and experience with ESPnet, SpeechBrain, or reputed company NeMo

Benefits

• Comprehensive healthcare, dental, and vision coverage
• 401k plan
• Paid time off (PTO)
• And more!

Company Overview

Company H1B Sponsorship