AI研究工程师
AI Research Engineer
关于Hex
Hex正在组建一支由建设者组成的团队，致力于让每个人都能成为数据专家。我们的平台解决了当今数据和分析工具中的关键痛点，使任何人都能通过自然语言探索数据，无需代码或在有代码的情况下，在可信的上下文中进行操作。Ramp、Figma、Stubhub、Anthropic和Gamma等数千家客户喜欢Hex，因为其美观的用户界面、代理超级功能和无限的灵活性。https://www.g2.com/products/hex-tech-hex/reviews
Hex已从Sequoia、a16z、Snowflake和Amplify等领先投资者处筹集了超过1亿美元资金。我们在旧金山和纽约设有办公室枢纽，并在美国和英国拥有远程团队成员。我们是一支高自主性的团队，快速交付并享受其中的乐趣。观看我们的Hex简介视频https://www.youtube.com/watch?v=qAXsnrNlavk和员工手册https://www.notion.so/hexhq/Hex-Handbook-9fff0d42860e4f70815c599e0d1664d6，了解更多关于在Hex工作的内容。
关于该职位
Hex是一个为现代数据科学和数据分析工作流提供人工智能支持的平台。AI研究工程师与产品团队合作，构建行业领先的AI体验，例如Notebook Agent。在此过程中，AI研究工程师将运行实验、微调模型、部署AI基础设施，并构建和维护实验工具。
作为与Hex产品团队合作的AI研究工程师，您的重点将是推动Hex的上下文引擎，并推进我们的Notebook Agent的功能。Notebook Agent专为组织中进行最复杂和最有影响力的数据工作的人而设计，是一款高度技术性的数据助手，可以编写SQL和Python，创建漂亮的报告和可视化效果，并与分析师共同探索新的研究方向。无论是推动SQL生成质量的前沿，还是使用LLMs评估代理线程，您的工作将是使在Hex工作的数据团队能够为其利益相关者构建高度准确和定制的数据体验，为整个业务解锁数据驱动决策的力量。
如果您是一位热衷于将这些功能带给数以千计用户的优秀建设者，那么请在最好的数据科学平台上，与最好的用户上下文一起实现它。
我们正在寻找一位资深工程师（来自AI工程、软件工程或机器学习工程背景）
查看英文原文
ABOUT HEX
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp https://hex.tech/customers/ramp/, Figma https://hex.tech/customers/figma/, Stubhub https://hex.tech/customers/stubhub/, Anthropic, and Gamma love Hex https://www.g2.com/products/hex-tech-hex/reviews for our beautiful UI, agentic superpowers, and boundless flexibility.
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we’re a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video https://www.youtube.com/watch?v=qAXsnrNlavk and employee handbook https://www.notion.so/hexhq/Hex-Handbook-9fff0d42860e4f70815c599e0d1664d6 to learn more about what it’s like to work at Hex.
ABOUT THE ROLE
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent https://hex.tech/blog/introducing-notebook-agent/. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
- Building features and experiences from 0 to 1
- Partnering on determining the architecture and stack for our AI-enabled capabilities
- Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
- Working at the cutting edge of production AI applications
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
WE'D LOVE TO HEAR FROM YOU IF YOU HAVE:
- Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
- A lot of enthusiasm for applications of AI to real business problems.
- Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
- Ideal candidates are strong on Infra aspects of MLOps as well.
- You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
- Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
- Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
- Experience maintaining a high quality bar for design, correctness, and testing.
OUR STACK
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
The salary range for this role is: $214,000 - $285,000
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.