Senior AI Research Scientist
External
Cerence · Remote$82K–$136K/yrFull-timeRemoteToday
ComplianceInformation SecurityLeadershipLLMsSAFe
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Requirements
- Hands-on with post-training on LLMs
- In depth knowledge of RL approaches such as GRPO DAPO etc
- Scrappy and resourceful approaches to build end to end systems
Benefits
At Cerence AI , we offer a comprehensive and competitive benefits package designed to support your health, financial security, personal wellbeing, and life outside of work. Benefits are effective from the date of hire.Our benefits include:The expected salary range for this position is $81,585 - $136,245 Euro. The actual salary will be determined based on experience and other job-related factors.Annual bonus opportunityAll compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time.EQUAL OPPORTUNITY EMPLOYERAll 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 (e.g., how to protect data & how to be handling this data).Demonstrative knowledge of information security through internal training programs.Health insurancePerformance bonus
Additional Information
A Moving Experience. Opportunity: We are looking for a scientist to be a part of XUI- Cerence's conversational AI platform using large language models including multimodal (both on Edge and in cloud). Daily Functions / Responsibilities: Finetune LLMs using RL and other SOTA methods Create conversational workflows involving tool-calls and static knowledge Work with agent teams to build business logic into conversation Employ multimodals to enrich the conversational UX Innovate and build novel methods for faster inference
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