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Principal AI Researcher - PHRASE
Research Engineer
Lead cutting‑edge AI research to advance language intelligence, building scalable NLP models and orchestration systems that adapt content globally. Drive innovation in machine learning, deep learning, and language modeling using Python and PyTorch.
About the role
Key Responsibilities
- Design, develop, and deploy state‑of‑the‑art NLP models that power multilingual translation, cultural adaptation, and content orchestration.
- Lead research initiatives on large‑scale language models, reinforcement learning, and agentic orchestration to enhance platform intelligence.
- Collaborate with cross‑functional teams to integrate AI solutions into a headless, API‑first architecture, ensuring high performance and scalability.
- Publish findings in academic venues and present at industry conferences, positioning the platform as a thought leader in language AI.
- Mentor junior researchers and engineers, fostering a culture of experimentation and continuous improvement.
Requirements
- Ph.D. in Computer Science, Linguistics, or related field with a focus on NLP or AI.
- Extensive experience in deep learning frameworks (PyTorch, TensorFlow) and large‑scale language model training.
- Proven track record of publishing high‑impact research and delivering production‑ready AI systems.
- Strong programming skills in Python and familiarity with cloud platforms (AWS, GCP).
- Excellent communication skills and ability to translate complex research into actionable product features.
Skills
pythonmachine learningnatural language processingdeep learningpytorch