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.
Top Skills
What We Do
We are building the next generation of tools that at their core reimagine how real people interact with collaborative and intelligent technologies in their daily lives. We are not focused on the 10% or 20% improvement. We are focused on the reinvention of our collective abilities.
We are a team of engineers, scientists, creatives, and innovators who are united in the belief that these technologies can be harnessed to improve the daily lives of people around the world. We are backed by some of the industry’s most respected and accomplished thought leaders, doers, and venture investors.
We have been focused on this mission quietly for a while now. Last year, the mass market began engaging with these systems in a meaningful way for the first time. Yet, in a lot of ways this shift took place with an asymmetric benefit to large organizations. We believe that there is no fundamental reason why we as individuals can’t also reap these enormous benefits. Focus, ingenuity, and hard work are all that separate this potentiality from reality.
