Graph Engineer

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 database 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

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

Early stage equity

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

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