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Superhuman is an AI productivity platform on a mission to unlock superhuman potential in everyone. The company's suite of apps and agents integrates with over 1 million applications and websites, serving over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide.
We are seeking an AI Engineer to join our Porto team to help build the next generation of AI-native productivity inside Superhuman, specifically the agent platform where multiple AI agents collaborate to solve complex user problems. This is a high-autonomy, high-impact role on a foundational team that moves fast from idea to production.
In this role, you will shape the future of productivity by playing a pivotal role in evolving Superhuman from a beloved writing assistant into an indispensable, AI-native productivity suite for enterprises. You will spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems, taking responsibility for core orchestration, routing, and planning systems. You will develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs. You will work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences. Operating with a high degree of autonomy and product sense in a fast-paced, ambiguous environment, you will move quickly from idea to impact with no red tape or endless approvals—just a focus on making meaningful contributions to a platform used by millions.
Superhuman offers a dynamic hybrid working model that provides plenty of focus time along with in-person collaboration to foster trust, innovation, and strong team culture. The company emphasizes autonomy and trust as key to empowering team members to do their best, most innovative work. Professional growth opportunities, comprehensive benefits, and relocation support (including visa assistance and relocation bonus) are provided.
QUALIFICATIONS:
- 5+ years of industry experience as a machine learning engineer or applied research scientist
- Deep understanding of modern algorithms and approaches to ML, NLP, and LLMs
- Experience building LLM-based products
- Deep care about end-user experience and commitment to ensuring high quality
- Ability to work independently with minimal guidance, proactively manage tasks and priorities across multiple projects, analyze and execute work efficiently, collaborate effectively with cross-functional teams, and thrive in fast-paced, results-driven environments
- MS/PhD in Computer Science is a nice-to-have
