At Encord, we're building the AI infrastructure of the future. Today, the biggest challenge companies face in getting an AI product to market is actually not half as glamorous as it may seem: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly and the most time-consuming.

As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.

We’re a team of 60 working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other prominent leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.

About Us

Encord is a London-based startup building a comprehensive development platform for machine learning applications. Our mission is to enable companies to unlock the power of AI while retaining 100% control of their data. In 2021 we raised $20M from top investors including CRV, Y Combinator Continuity, the Harvard Management Company and other leading Bay Area investors.

Started by ex-computer scientists, physicists, and quants, we felt first hand how the lack of tooling was impeding the progress of deploying AI in practice. To us it feels like what the early days of computing or the internet must have felt like, where the potential of the technology is clear, but the tools and processes surrounding it are terrible. We are building a collection of interconnected tools to assist in the prototyping, building, deploying and optimising computer vision applications throughout the AI model life cycle.

The Role

We are looking for an experienced backend engineer to help us build performant backend services fuelling state-of-the-art AI applications. You will:

• Design, build, and maintain systems and API servicing both customers and internal users and scaling to billions of entities
• Build client libraries like our Python SDK
• Collaborate closely with the business teams to understand and solve our customers’ pain points
• Work to improve engineering standards, tooling, and processes to establish engineering best practices
• Contribute to hiring additional talent to our rapidly growing team The role will expose you to a broad tech stack - Python, PostgreSQL, OpenCV, PyTorch, Typescript, React, GCP, AWS, K8S, CUDA, and the cutting edge of computer vision and deep learning

Who we need

• A candidate with hands-on experience in designing, building and maintaining distributed system, large-scale data pipelines or other high-performance systems.
• Someone with a desire to have impact - and the ability to deliver. You’ll join a fairly small, fast moving, engineering team where each member of the team can dramatically affect the overall success of the company.
• Ability to self-manage. Encord is a flat, early-stage startup without a lot of structure. To be successful, you’ll need to be autonomous to a large extent and able to adapt to a rapidly shifting environment.

Required qualifications

• At least 3+ years of experience if you’ve had formal training or 5+ years of experience in industry
• Willingness to own and improve a number of systems and processes simultaneously

Nice to haves

• Experience in other areas of software development - frontend, test, infrastructure
• Experience in product development
• Experience building and maintaining machine learning systems or other large scale data applications
• Experience with large modern python codebases

What We Offer

Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build a product which services enterprise AI use cases across many different verticals such as healthcare, manufacturing, retail, and agriculture.

Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. We offer competitive compensation and equity options in the business for the right candidate. Additionally we offer:

• Hybrid work - with 3 days presence in our central London office
• 25 days of annual leave
• Private health insurance and pension contribution
• Cycle to work scheme
• Annual education allowance
• Regular social events

The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning.