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
4
reviews and is evolving.
Pros: The work flexibility at CuspAI is truly outstanding, fostering an excellent work-life balance crucial for an AI Engineer. Teamwork among research scientists is strong, promoting great learning and career growth. Management supports professional development in this deep tech startup.
Cons: Sometimes, cross-team communication, especially between different research initiatives, could be improved for smoother project execution. As a growing deep tech startup, some internal approval processes can occasionally feel a bit slow for an AI Engineer.
Advice to Management: Continue fostering the collaborative spirit and strong work flexibility that are key strengths. Consider streamlining some internal communication channels and approval processes to better match the fast pace needed for AI and materials science innovation.
Show more
Pros: I loved the deep technical exposure in Artificial Intelligence and Machine Learning, especially working on the MLFF Distillation & GCMC Integration project. The mentors were genuinely invested in my career growth, providing excellent guidance and opportunities to learn new techniques in materials science. The company culture is very collaborative; everyone is approachable and keen to share knowledge, making it a great environment for an intern in a deep tech startup in London.
Cons: Being a fast-paced deep tech startup, sometimes the workload could be intense, especially nearing project deadlines. Also, since it's a rapidly evolving field, internal communication on broader strategic shifts could occasionally be clearer. While the flexibility was good, a bit more structure around long-term career progression for interns beyond the initial placement would be a valuable addition for future programs.
Advice to Management: Continue fostering the strong mentorship program for interns and consider formalizing pathways for post-internship career progression to help retain talent in this cutting-edge AI and materials science field.
Show more
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.
Show more
What is the day-to-day work environment like at CuspAI, especially for AI engineers joining the team?
The culture at CuspAI is collaborative and fast-paced, with a strong emphasis on innovation in the AI sector. Expect regular team syncs and opportunities to contribute to cutting-edge projects, fostering a dynamic environment for AI engineers.
What is the typical team collaboration like at CuspAI for AI engineering roles?
At CuspAI, collaboration is a core part of our engineering culture, especially for AI roles. We often use agile methodologies with daily stand-ups and regular sprint reviews to ensure alignment and knowledge sharing among team members.
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.
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.
DE
