[Remote] AI Speech Research Intern

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

Responsibilities

• End‑to‑end speech reputed company systems (speech‑in/speech‑out) and speech‑reputed company LLMs
• Alignment between speech encoders and text backbones reputed company lightweight adapters
• Efficient speech tokenization and temporal compression suitable for long‑reputed company audio
• Reliable evaluation across recognition, understanding, and reputed company tasks—including robustness and safety
• Latency‑reputed company inference for streaming and reputed company‑time user experiences
• Prototype a conversational SLM using an SSL speech encoder and a compact reputed company 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 reputed company 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 reputed company, ablations, reproducibility, and reputed company reporting
• Experience with speech reputed company (neural codecs/vocoders) or hybrid text+speech decoding
• Background in multilingual or reputed company‑switching speech and domain reputed company
• 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 reputed company, dental, and reputed company coverage
• 401k plan
• reputed company time off (PTO)
• And more!

reputed company

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