图工程师
Graph Engineer
我们的故事：
由自动化、AI、ML和知识图谱驱动的智能技术的广泛应用正在加速。随着这些技术变得越来越容易获得，我们的目标是让它们的能力对现实世界中真实的人变得具有赋能性、可信赖且有用。
Adapter 由 Adam Ghetti 和 David Bader 博士于 2022 年创立，并得到了一些最负盛名的一线硅谷公司及个人企业家的支持。我们是一个小型但专注的团队，目前正在解决一个重要的问题。我们认识到在这个领域成为先行者的重要性，并组建了一个有良好支持且充满热情的团队来实现这一目标。
我们寻找的人选：
我们正在寻找一位在设计和实现健壮系统方面有经验的工程师，能够将各种复杂的数据类型引入大规模知识图谱，该工程师将在塑造和创建产品中发挥关键作用，该产品的核心目标是通过与智能技术的深入协作来赋能个人。你将与一支才华横溢的工程师和创新者团队合作，并处于智能技术最具吸引力的消费者用例的最前沿。
我们建立了一种促进远程办公和面对面协作的文化，目前团队成员分布在全国各地，在奥斯汀、纽约市和旧金山湾区设有中心。我们认为这两种元素的结合可以最大限度地提高生产力和创造力，以实现我们的目标。
职责：
- 设计并开发用户数据的摄入、处理和算法应用，以构建大规模知识图谱中的用户行为和偏好模型
- 利用图查询语言设计高效的实现，以驱动有价值且可操作的洞察和数据检索
- 与设计师、研究人员和其他利益相关者团队合作，实施交付产品功能所需的知识图谱组件
- 识别并解决性能瓶颈、安全问题和其他技术挑战
- 跟踪人工智能/机器学习与知识图谱集成方面的新兴技术和行业趋势
资格要求：
- 在知识图谱和算法方面有实际经验
- 在使用知识图谱进行用户建模和从不同数据源获取数据方面有较强经验
- 具有使用数据库技术如 PostgreSQL 的实现经验
查看英文原文
Our story:
The widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world.
Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so.
What we are looking for:
We are seeking an engineer experienced in designing and implementing robust systems to ingest diverse, complex data types into large-scale knowledge graphs, who will play a key role in shaping and creating the product, which at its core aims to empower individuals through thoughtful collaboration with intelligent technology. You will partner with a brilliant team of engineers and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies.
We have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed around the country with hubs in Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal.
Responsibilities:
- Design and develop the ingestion, processing and application of algorithms for user data to build models of user behavior and preferences for large knowledge graphs
- Design efficient implementations utilizing graph query languages to drive valuable and actionable insights and data retrieval
- Collaborate with a team of designers, researchers and other stakeholders to implement the knowledge graph components required to deliver product features
- Identify and address performance bottlenecks, security concerns, and other technical challenges
- Stay updated on emerging technologies and industry trends in usage of AI/ML integration with knowledge graphs
Qualifications:
- Proven experience with knowledge graphs and algorithms
- Strong experience in using knowledge graphs for user modeling and data ingestion from disparate data sources
- Implementation experience with databases technologies such as PostgreSQL
- Experience with graph query languages like GraphQL.
- Strong communication skills; must be able to effectively and clearly communicate vision and objectives with the team and stakeholders.
- Strategic thinker with the demonstrated ability to align design goals with key objectives and priorities.
Desired:
- Experience building and deploying ML models from end to end
- Experience working with data science and ML teams in delivering products to market
Work Experience:
- 5+ years of experience with systems and graph algorithms.
- Startup experience is a plus.
Benefits:
- Early stage equity
- Comprehensive health insurance.
- Generous PTO.
- Remote and in-person cultures that promote collaboration.
Full compensation packages are based on candidate experience and certifications.
United States - Remote Pay Range
$180,000—$230,000 USD
Originally posted on Himalayas