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AI Research Specialist
2 months ago
Penn Foster Inc. is at the forefront of the AI transformation, impacting lives globally by driving advancements in various fields, including autonomous vehicles, robotics, and intelligent voice assistants. Join our inclusive applied research team dedicated to developing the next generation of Conversational AI technologies. Our focus encompasses innovative models for speech recognition, speech synthesis, and natural language processing.
We contribute to the NeMo project, an open-source toolkit for Conversational AI that is widely utilized by organizations for applications in customer support, voice-driven assistants, and more.
We work collaboratively with product teams and leading researchers from prestigious academic institutions.Key Responsibilities:
• Innovate new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation, and natural language processing.
• Design scalable training algorithms.
• Open-source models utilizing the NeMo conversational AI frameworks.
• Provide mentorship to interns.
• Publish research findings in top-tier conferences focused on speech and NLP.
• Collaborate with universities and research institutions.
Qualifications:
• PhD in Computer Science or Electrical Engineering (or equivalent experience).
• Demonstrated expertise in Deep Learning for Natural Language Processing or Speech Recognition.
• Minimum of 2 years of research experience in speech recognition or NLP.
• Proficient in Python programming.
• Familiarity with PyTorch.
• Strong publication record.
• Additional advantages include contributions to open-source initiatives and serving as a reviewer for leading speech conferences.
The salary range for this position is competitive and will be determined based on factors such as location, experience, and the compensation of peers in similar roles. In addition, you will be eligible for equity and comprehensive benefits. Penn Foster Inc. is committed to promoting a diverse workplace and is proud to be an equal opportunity employer.
We value diversity among our current and future team members and do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
