The role asks for someone who has built and run large scale data systems from scratch, with strong core computer science knowledge and fluency in Python or TypeScript plus one of Rust, C++, Java or Go. A strong candidate brings hands on experience owning production services, reasoning about failure modes and load, and a record of fast learning in demanding settings. Prior work at a trading firm or exchange is helpful but not required.
How it fits the AI era
AI changes the work by making the data itself the hard problem: huge 3D scenes, long videos and sensor streams must be processed correctly and quickly to train physical AI systems. The human part stays in designing reliable distributed systems, judging tradeoffs and owning what ships. Curiosity and fast learning matter more than prior ML experience.
How it builds AI experience
The role offers direct exposure to the data pipelines behind robotics and physical AI, including large scale video, LIDAR and ML inference workloads. Someone can build relevant experience by working on distributed data systems, performance tuning and production ownership. Prior AI or ML knowledge is not required, so learning happens on the job.
Worth showing
- Python or TypeScript fluency
- Production service ownership
- Fast learning under pressure
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Encord
A data platform that helps AI teams manage, label and clean the video, sensor and image data that trains robots, self-driving cars and other physical AI systems.
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Quant Developer in AI employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
