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At Plumerai, we make it easy and affordable for developers to add highly accurate AI to their camera devices, enabling them to create amazing new products. Major brands deploy our advanced computer vision models on millions of smart home cameras in the field and we're rapidly expanding into other sectors, such as commercial security, elderly care and retail. We combine our on-device Tiny AI software with our cloud-based Vision Language Models, to provide our customers with powerful AI features, including People Detection, Video Search, Familiar Face Identification, AI Captions and more. We prioritize on-device inference, to enable low-power, super-efficient and private AI products. Plumerai leads on accuracy, even when compared to large players, such as Google Nest.

We're a small, high-performing team based in London and Amsterdam, with plans to double in size over the next year. Following our recent $8.7M Series A, backed by world-class investors including Tony Fadell, Hermann Hauser, and Zoubin Ghahramani, we have multiple years of runway and rapidly growing recurring revenue.

We’re in a period of significant growth and are expanding our engineering team across multiple levels and specialisms. This is one of several hires we’re making as we scale the company.

• Strong engineering experience with proficiency in Python.

• Comfortable with frameworks such as PyTorch, TensorFlow, Keras, or JAX.

• Strong experience with computer vision and multimodal LLMs.

• Trained neural networks that moved into production.

• Industry experience with efficient inference deployments (cloud or edge).

• Experience with Deep Reinforcement Learning.

We only consider applicants who are currently based in, or willing to relocate to, London or Amsterdam. We have flexible working hours and work together from our offices on at least 2 fixed days per week.

• Competitive salary.

• Generous equity stake in the company.

• Relocation assistance and visa sponsorship is provided.

• Choose your own laptop and equipment.

• 25 days of paid vacation time in addition to bank holidays.

• Ability to attend top research conferences like NeurIPS, ICML and CVPR.