Thermo Fisher Scientific
10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
💊 Pharmaceuticals
Healthcare Insurance • Biotechnology • Pharmaceuticals
Thermo Fisher Scientific is a leading global supplier of scientific instrumentation, reagents and consumables, and software services. They support the life sciences, healthcare, and analytical chemistry sectors by providing robust solutions for laboratory research and production processes. Their innovative products and services encompass a range of applications, including diagnostics, lab workflow automation, and drug discovery.
Speech Research Intern – 2
Job not on LinkedIn
🕒 June 12
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Thermo Fisher Scientific
10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
💊 Pharmaceuticals
Healthcare Insurance • Biotechnology • Pharmaceuticals
Thermo Fisher Scientific is a leading global supplier of scientific instrumentation, reagents and consumables, and software services. They support the life sciences, healthcare, and analytical chemistry sectors by providing robust solutions for laboratory research and production processes. Their innovative products and services encompass a range of applications, including diagnostics, lab workflow automation, and drug discovery.
📋 Description
• Design and evaluate speech‑first models, focusing on Spoken Language Models (SLMs) • Move ideas from prototype to practical demos • Work with scientists and engineers to deliver measurable impact • Develop end‑to‑end speech dialogue systems and speech‑aware LLMs • Ensure alignment between speech encoders and text backbones via lightweight adapters • Conduct reliable evaluations across recognition, understanding, and generation tasks • Implement latency‑aware inference for real‑time user experiences
🎯 Requirements
• PhD candidate in CS/EE (or related) with research in speech, audio ML, or multimodal LMs • Fluency 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 via adapters, or (c) post‑training/instruction tuning for speech tasks • Strong experimentation habits: clean code, ablations, reproducibility, and clear reporting
🏖️ Benefits
• Competitive stipend • Mentorship from applied scientists and engineers • Opportunities to publish and present • Access to modern GPU infrastructure • Supportive environment for fast, responsible experimentation • Flexible location and schedule options
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