Senior Software Engineer, Machine Learning

Description

At Arcus, we’re redefining how businesses operate with AI. Arcus helps enterprises build AI workflows that understand complex data and perform multi-step reasoning to transform critical, complex business processes. We bridge the gap from the potential of AI to how businesses actually do work, to let them focus on the work that matters most.

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We provide our customers capabilities for understanding complex data alongside agentic capabilities such as doing math and browsing the web. This coupled with the ability to put it together in an end-to-end workflow enables our customers to build and run business critical workflows on Arcus. Under the hood, this leverages systems for planet-scale data ingestion and indexing and compound AI systems that can reason over multi-step tasks. We’re pushing forward the state-of-the-art of agentic, multimodal AI for modern businesses.

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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. Arcus is growing rapidly across financial services, insurance, logistics and other verticals and we’re continuing to grow the team to keep up.

Our Values

• Relentless pursuit of excellence. We maintain high standards for our work and our people, raising the bar for ourselves and for what we can do together. We look for a track record of excellence, across any field or domain. 
• Work hard and fight to win. We operate with intensity on the edge of what is possible and work to build something we can be proud of.
• Build a revolutionary product. We are solving some of the biggest, hardest problems involved in operationalizing AI for the real world.

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.

Compensation

In consideration of market analysis and relevant factors, the salary range for this position is set between $150,000 and $250,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program.

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