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At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. We’re building tools for the full Physical AI data stack - from data acquisition, through ingestion and curation at scale to 3D rendering, annotation and verification.
Job Responsibility:
Solve problems of large scale efficient data transfer and storage
Solve problems of complex domain modelling
Apply the latest machine learning models
Squeeze performance out of web browsers
Rendering complex 3D scenes with thousands of objects while maintaining smooth frame rates
Work with the biggest names in robotics and autonomous vehicles
Understand the details of visual, spatial and sensor data, making sense of reality
Operate with high degrees of autonomy and be expected to craft at speed
Build performant, reliable and maintainable solutions to challenging problems - both technical and product
Be a key driver of progress on a core part of our product
Have end-to-end ownership of projects: from product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users
Work across the stack, covering everything from deployment to styling
Take initiative, be proactive in problem-solving, and continuously seek improvements
Work autonomously to take charge of projects, make decisions, and drive work forward
Collaborate and support each other with challenging problems
Tackle complex domains and immense scale with simple solutions
Requirements:
Experienced: have personally developed and maintained multiple systems from scratch
Seek high impact
Are a builder: enjoy all aspects of building a complete product, comfortable moving across the stack, enjoy problem solving and thinking from first principles, ready to pick up new skills and build quickly
Are comfortable with uncertainty: happy to tackle problems without a predefined clear definition or obvious solution
Are a team player: contribute best work and help others contribute their best
Open to learning technologies
Prior experience in Python and Typescript appreciated but not required
What we offer:
Competitive salary, commission and equity in a hyper growth business
Strong in-person culture: most of our team is in the office 3+ days a week
Room to grow into anything you choose to
25 days annual leave a year + public holidays
Unique opportunity to be part of a startup with a clear mission and vision
Get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more
Work at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields