encord - Senior Product Engineer
Requirements
• You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed • You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day • You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary. • You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly • You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go • You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you • Strong full-stack engineering experience, with a strong track record of shipping products you're proud of • Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language) • Strong front-end skills — comfortable with building polished, responsive interfaces, ideally with React • Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes) is a plus • Experience building at scale in a fast-paced startup or high-growth environment • Exposure to machine learning workflows or ML infrastructure is a plus • We are technology-agnostic at Encord and are not looking for experience across all of these — as long as you're open to learning, please apply. • Backend: Python • Frontend: TypeScript and React • Deployment: Kubernetes • Infrastructure: GCP • Machine learning: PyTorch, CUDA, Ray
Responsibilities
• Build scalable back-end systems and intuitive front-end interfaces — owning features from database schema to rendered UI • Work with ML workflows — developing tooling for model evaluation, active learning, and automated quality pipelines • Iterate rapidly on product and ship high-quality features at pace, maintaining strong CI/CD and testing practices throughout • Work closely with customers, product, and design to understand problems deeply and deliver solutions that create real impact • Contribute to shaping how the team works — our architecture decisions, engineering culture, and product direction are all open for input
Benefits
• Competitive salary, commission, and meaningful equity in a high-growth startup • Strong in-person culture — most of the team works from our London office 4+ days/week • 25 days annual leave + UK public holidays • Annual learning & development budget • Travel for customer visits, events, and conferences across the UK and Europe • Company lunches twice a week • Monthly socials & bi-annual team offsites
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