Senior Researcher

2 weeks ago

Pune, Maharashtra, India Cerence Inc. Full time

A Moving Experience.

Design and implement innovative techniques for developing and commercializing advanced language models. Develop and refine engineering standards, goals, and metrics to ensure the highest quality in language model production. Collaborate with interdisciplinary teams of researchers to plan and execute experiments, including fine-tuning and knowledge distillation of Large Language Models (LLMs). Work closely with cross-functional teams to integrate LLMs into practical applications. Mentor and guide junior researchers and engineers in the field of language model development. Stay up-to-date with the latest advancements in natural language processing (NLP) and machine learning. Evaluate and adapt emerging technologies and tools to enhance LLM production processes, including fine-tuning and distillation. Contribute to research publications and patents to share findings and innovations with the scientific community. Participate in knowledge sharing and brainstorming sessions to foster a collaborative research environment. Continuously assess and improve language model production techniques to meet evolving industry standards, with a focus on LLM fine-tuning and distillation. Proficiency in advanced language model development. Strong experience in engineering standards, using TensorFlow and PyTorch for quality assurance. Collaborative work on interdisciplinary teams with expertise in Hugging Face Transformers. Experience in integration of LLMs into practical applications, utilizing cloud platforms like AWS Lambda and Azure Functions. Leadership and mentorship skills in language model development. Continuous learning in NLP and ML, including tools like Jupyter Notebooks and GitHub. Adaptability to emerging tech (, Kubernetes) for LLM production enhancement. Track record of research contributions and patents. Active participation in knowledge-sharing and brainstorming sessions. Commitment to quality-driven LLM production, including containerization with Docker.

NOTE: PhD is mandatory.

Cerence is a global leader in creating cutting-edge AI-powered solutions that make our driving experiences safer, more productive, and more enjoyable. We provide the technology behind the world's most popular car brands, enabling drivers and passengers to interact with their vehicles in new and exciting ways. Our focus on innovation and commitment to quality has helped us build a reputation as one of the most trusted and respected companies in the industry. With a team of talented and passionate people from around the world, we're always pushing the boundaries of what's possible, and we're proud to be at the forefront of the next generation of in-car technology. Join us and help shape the future of mobility.

At Cerence, we value thought leadership and mentorship, and we're looking for someone who can contribute to our culture in these areas. If you have a passion for cutting-edge software development, want to work in an exciting, fast-paced environment, and help us shape the future of in-car AI interaction, please apply to join our team

As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence's passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:

Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.

Basic knowledge of information security and data privacy requirements (, how to protect data & how to be handling this data).

Demonstrative knowledge of information security through internal training programs.

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