远程工作雷达

首席人工智能科学家

Principal AI Scientist

AI开发工程限定地区(需当地身份)
公司Cerence
薪资$123,500 - $197,600/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

一个创新的体验。
你的影响

  • 架构、设计并实现前沿的生成式AI模型(自回归模型、扩散模型、离散扩散模型、混合状态空间模型等),并在极小的LLM中推动最先进的技术。
  • 利用你的专业知识,高效地训练、微调和优化对LLM(多模态与多语言)有影响的模型,使其达到最佳的准确性、自然性和性能。
  • 与由代理AI科学家、软件工程师和领域专家组成的跨职能团队紧密合作。通过理解他们的需求,共同开发利用LLM/MLLM能力的定制化解决方案。
  • 通过集成LLM/MLLM的强大功能,创新并提升现有应用,从而确保在资源受限的平台上也能保持最佳性能和速度。
  • 紧跟生成式AI、对话式AI和语言建模领域的最新进展、趋势和研究,积极引入新技术、新方法和最佳实践,持续提升我们系统的整体性能。

你带来的能力

  • 在开发LLM/MLLM方面有丰富的经验并展现出卓越的技能。
  • 熟悉商业部署、部署后的支持、模型分析和优化,这些是生产环境所必需的。有在不同语言中部署模型的经验者优先。
  • 计算机科学、电子工程或相关领域的高级学位(博士优先)。
  • 出色的Python编程技能,以及实现复杂机器学习算法的强大学习能力。
  • 在开发对话式AI系统方面有成功经验,能够有效处理声学模型、语言模型和发音模型等多种元素。
  • 具备强大的分析思维、解决问题的能力和协作精神,能够在我们快速且富有创新性的环境中茁壮成长。

我们提供的福利
在Cerence AI,我们提供全面且具有竞争力的福利计划,旨在支持你的健康、财务安全、个人福祉以及工作之外的生活。福利从入职日期开始生效。
我们的福利包括:

  • 该职位的预期薪资范围为123,500 - 197,600美元。实际薪资将根据经验和其它与工作相关因素确定。
  • 年度奖金机会
  • 弹性休假
  • 基于选择的医疗保障计划
查看英文原文

A Moving Experience.
Your Impact

  • Architect, design, and implement state-of-the-art Generative AI models (auto-regressive, diffusion, Discrete Diffusion, Hybrid SSM etc ) and advance the SOTA in very small LLMs.
  • Leverage your expertise to effectively train, fine-tune, and optimize models that impact LLMs (Multimodal & Multilingual), shaping them for optimal accuracy, naturalness, and performance.
  • Collaborate closely with cross-functional teams comprising agentic AI scientists, software engineers, and domain experts. By understanding their requirements, you will collaboratively develop customized solutions that leverage the prowess of LLMs/MLLMs.
  • Innovate and enhance existing applications by integrating the power of LLMs/MLLMs, thereby ensuring optimal performance and speed even on resource-constrained platforms.
  • Stay fully abreast of the latest advancements, trends, and research in the realms of Generative AI, Conversational AI, and language modeling, actively incorporating new techniques, technologies, and best practices to continually enhance the overall performance of our systems.

What You Bring

  • Extensive experience and demonstrated mastery in developing LLM/MLLMs.
  • Well versed with commercial deployments, post-deployment support, model-profiling and optimization needed for production environments. It would be preferable to be experienced in deploying models in different languages.
  • Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field.
  • Exceptional programming skills in Python along with a strong ability to implement complex machine learning algorithms.
  • Proven track-record in developing conversational AI systems, successfully working with diverse elements such as acoustic models, language models, and pronunciation models.
  • Possess strong analytical thinking, problem-solving capabilities, and a collaborative mindset, ensuring you can thrive within our fast-paced and innovative environment.

What we offer
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 $123,500 - $197,600 USD. The actual salary will be determined based on experience and other job-related factors.
  • Annual bonus opportunity
  • Flexible Time Off
  • Choice‑based medical coverage plus Dental and Vision plans
  • Health Savings Accounts (HSA), Flexible Spending Accounts (FSA) and 401(k) retirement plan with an employer match
  • Employee Stock Purchase Plan
  • Paid parental leave and adoption assistance
  • Disability and life insurance
  • We also offer an Employee Assistance Program, a wellbeing platform, volunteer hours, a broad employee discount marketplace, tuition reimbursement and a global rewards and recognition program.

All 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.
It would be nice to have extensive experience porting these models on very small footprint devices.
Cerence Inc. (Nasdaq: CRNC and ) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.
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 (e.g., how to protect data & how to be handling this data).
- Demonstrative knowledge of information security through internal training programs.
Originally posted on Himalayas

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