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Description

At Arcus, our mission is to advance AI through better data. We believe that data is the ultimate representation of the world and providing ML models with the highest fidelity representations is the most important challenge to solve for AI today. We’re advancing the state of the art in AI by ensuring that every model has the data it needs.

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We’re building the comprehensive data platform that enables enterprises to build intelligent AI applications on their structured and unstructured data. From “chat over your data” to multi-modal, reasoning applications – Arcus scales to the complexity of any intelligent AI application. Arcus manages the data workflows needed to make large-scale, complex data useful for LLMs – from ingesting and indexing the data to providing retrieval and evaluation capabilities – Arcus supports even the most complex AI applications.

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We’re extremely well-funded and backed by top tier VCs and angel investors who share our mission and we’re based out of our Flatiron office in NYC.

What You’ll Do

As a Senior Machine Learning Engineer at Arcus, you will push the frontier of our AI capabilities. You will work closely with our CTO, across the engineering team and with our customers to design, build, and productionize intelligent and dynamic AI/ML systems for building LLM applications over complex data. This includes algorithms for representing and indexing structured and unstructured data, understanding and decomposing complex queries, using agent architectures with tool-use to dynamically interact with heterogeneous data, and much more. Our goal is to define the future of Data-Centric Generative AI.

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We use technologies like Pytorch, Python, Golang, Docker and Kubernetes.

Key Responsibilities

• Develop and rigorously evaluate novel ML methods and see them through from prototype to production.
• Lead innovative projects that will shape the AI capabilities of the Arcus platform.
• Develop a deep intuition of customer experience and user journeys to build innovative AI capabilities that define the future of building intelligent AI applications.
• Define the future and culture of Arcus with your initiative and feedback.

Who You Are

• Bonus points for a PhD in machine learning, computer science or other related field.
• Experience working on training and inference of LLMs and/or building production-worthy LLM applications.
• Passionate about keeping up with the existing state-of-the-art of ML and pushing the frontiers of the domain.
• Bias towards shipping rapidly and iterating with customer feedback.
• You have a demonstrated track record of excellence, across any field or domain (not necessarily related to the role).
• Exhibit a strong passion for taking ownership, continuous learning and personal growth.