Job Description

We are looking for a Software Engineer, Data to be at the heart of designing systems that understand user intent by leveraging knowledge graphs and Model Context Protocol to deliver Generative AI products. Your work will involve API development, performance optimization, and maintaining high-performance access to large, interconnected datasets.
In this role, you'll blend machine learning and data engineering expertise to build scalable systems, improve query efficiency, and contribute to production-grade solutions that are deeply context-aware.

You will:

+ Design, implement, and own the Model Context Protocol, ensuring our GenAI systems receive rich, stateful information for advanced query interpretation. + Build and leverage knowledge graphs to model complex data relationships, enhancing the depth and accuracy of our query understanding capabilities.
+ Develop and maintain robust data pipelines that populate our graph databases and support efficient, real-time query analysis.
+ Develop and refine APIs that provide fast, reliable access to processed data and insights derived from our graphs and ML models.
+ Establish, monitor, and improve query performance benchmarks against large-scale graph and tabular datasets.
+ Contribute to query interpretation and NLP-driven analysis, applying ML techniques to improve system intelligence.
+ Design and implement scalable, testable solutions using modern frameworks and tools.
+ Collaborate with colleagues on the design and delivery of data-intensive ML systems that are fundamentally graph and context aware.
+ Share knowledge and learn from others to continuously raise the technical bar.

You Have:

+ PhD or advanced degree in Computer Science, Software Engineering, or a related field. + A strong background in machine learning, NLP, query analysis, and data science applications.
+ Experience with graph technologies, including graph databases (e.g., Neo4j, Neptune) and/or graph processing frameworks (e.g., NetworkX).
+ Experience designing or working with systems that manage state or context for GenAI models; direct experience with a Model Context Protocol is a significant plus.
+ Hands-on experience in Python
+ Proficiency in query languages (e.g., SQL, Cypher, Gremlin) and optimizing queries over large, complex datasets.
+ Experience building or supporting ETL pipelines, APIs, or real-time/batch query systems.
+ Familiarity with cloud environments (GCP preferred), CI/CD pipelines, Docker, and GitHub Actions.
+ A strong understanding of performance optimization.
+ The ability to clearly communicate technical concepts to both technical and non-technical audiences.
+ A collaborative mindset and a growth mindset, staying up to date with advances in ML, graph systems, and data engineering.

About BenchSci:
BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.

Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at top pharmaceutical companies and leading academic centers.

Our Culture:
Our culture fosters transparency, collaboration, and continuous learning.

We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.

You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives. Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.