While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia.
Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering. We're on the cusp of the on-demand materials era.
Join us.
Rating Reviews
Rating is calculated based on
2
reviews and is evolving.
Pros: The hybrid model is good, letting me split time between the Cambridge, UK office and working from home. For software engineering roles, it's generally okay to adjust your hours a bit if you need to. They don't micromanage your specific schedule too much.
Cons: True remote work isn't really an option for most, it's definitely a hybrid-first company. Sometimes, project deadlines in this fast-paced AI startup environment mean working longer hours, which impacts work flexibility, even if you can adjust when you work.
Advice to Management: Try to formalize remote work policies more clearly, especially for software engineering roles that don't always need to be in the Cambridge office. This would really improve work flexibility.
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Pros: The base salary for an **AI Research Scientist** here is pretty competitive for a **deep tech startup**. You get some equity, which is a nice long-term upside if their **materials discovery** work takes off. It's not FAANG money, but it's solid for a smaller company in the field.
Cons: The benefits package isn't super strong though. Health insurance is just okay, and there isn't any 401k matching, which feels like a miss. For a **startup** that wants to attract top **AI talent**, these total compensation elements could really improve.
Advice to Management: Look into improving the benefits package, especially healthcare and retirement matching. It helps attract and retain top **AI talent** in this competitive market.
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What is the day-to-day work environment like at CuspAI, especially for AI researchers?
The culture at CuspAI is collaborative and fast-paced, typical of a growing AI startup in the San Francisco Bay Area. Expect a focus on innovation and problem-solving, with ample opportunities to engage with cutting-edge research alongside experienced colleagues.
What's the day-to-day collaboration like at CuspAI, especially for AI engineers working remotely?
Collaboration at CuspAI often involves asynchronous communication via Slack and regular virtual stand-ups to keep remote AI engineers aligned on project goals. We utilize shared documentation platforms extensively for knowledge sharing and code reviews, ensuring transparency and efficient teamwork across different time zones.
