生成式AI研究科学家实习生（博士）
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PhD GenAI Research Scientist InternDatabricks · San Francisco, California
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职位描述
机器翻译公司简介：
在 Databricks，我们致力于让数据团队能够解决世界上最棘手的问题，从安全威胁检测到抗癌药物研发。我们通过构建和运行世界上最好的数据与 AI 平台来实现这一目标，让我们的客户能够专注于对其自身使命至关重要的高价值挑战。
Mosaic AI 组织使企业能够使用自己的数据开发 AI 模型和系统，技术范围涵盖为企业领域微调 LLM，到构建使用检索和智能体的复合 AI 系统的平台。Mosaic AI 坚信，公司的 AI 模型与任何其他核心知识产权一样宝贵，高质量的 AI 模型应该人人可用。
职位描述：
世界上大多数数据+AI 问题都存在于企业领域，处于闭门之内。我们研究团队的目标是推动“领域适配”的前沿——我们如何开发出能够很好地适用于定制领域的 LLM 和 AI 系统。为此，我们正在攻克一系列主题上的开放研究问题，从如何扩展/自动化评估、使用合成数据进行微调、检索增强，到快速/高效推理等等。
您将与我们的研究团队合作，开展专注于将 LLM 和 AI 系统适配到企业领域的项目。这可能包括：
• 适配、改进和评估文献中的某种方法。
• 设计一种全新的领域适配方法。
• 将多种方法组合在一起，创建用于高效后训练的新配方。
• 评估 LLM 和 AI 系统。
您的资历和素质：
• 必需：
• 具备深度学习基础的研究经验和熟练程度。
• 正在攻读计算机科学或相关领域（电气工程、神经科学、物理学、数学等）的博士学位。
• 熟练的软件工程技能，包括 PyTorch。
福利待遇
在 Databricks，我们努力提供全面的福利和待遇，以满足我们所有员工的需求。有关您所在地区所提供福利的具体详情，请点击此处。
我们对多元与包容的承诺
在 Databricks，我们致力于营造多元和包容的文化，让每个人都能脱颖而出。我们非常用心地确保我们的招聘实践具有包容性，并符合平等就业机会标准。在 Databricks 寻求就业的个人，不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份以及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问受出口管制的技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，且雇主可能仅以此为由拒绝继续推进某位申请人的申请。
薪资
Databricks 致力于公平公正的薪酬实践。该职位的薪资范围列于下方，代表非佣金制职位的预期薪资范围或佣金制职位的目标收入。实际薪酬方案取决于每位候选人独有的若干因素，包括但不限于与工作相关的技能、经验深度、相关认证和培训，以及具体工作地点。基于上述因素，Databricks 预计将使用该范围的全部宽度。该职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利。如需了解您所在地区属于哪个薪资范围，请访问我们的页面此处。
旧金山湾区时薪 $54 — $60 USD
关于 Databricks
Databricks 是数据与 AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever，以及 70% 的《财富》500 强企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和智能体。Databricks 总部位于旧金山，在全球拥有 30 多个办事处，提供统一的平台，包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多信息，请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
Company Description:
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.
The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.
Job description:
Most of the world's data+AI problems lie in enterprise domains, behind closed doors. Our research team's goal is to push the frontier of "domain adaptation" - how can we develop LLMs and AI systems that work well for custom domains. To do this we are tackling open research problems on a range of topics, from how to scale/automate eval, fine tune with synthetic data, retrieval augmentation, fast/efficient inference and more.
You will work with our research team on projects focused on adapting LLMs and AI systems towards enterprise domains. This may include:
• Adapting, improving, and evaluating a method from the literature.
• Designing an entirely new method for domain adaptation.
• Composing together multiple methods to create new recipes for efficient post-training.
• Evaluation of LLMs and AI systems.
Your qualifications and qualities:
• Required:
• Research experience in and proficiency with the fundamentals of deep learning.
• Pursuing a PhD in computer science or related fields (electrical engineering, neuroscience, physics, math, etc.).
• Proficient software engineering skills, including with PyTorch.
福利待遇
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
薪资
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
SF Bay Area Hourly Rate $54 — $60 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .