At Encord, we’re building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: 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, in getting their product to market.

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 are a talented and ambitious 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 top Bay Area 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. We have big plans ahead and are looking for a rockstar Machine Learning Solutions Engineer to join us in building our Product team.

As a Solutions Engineer at Encord, you will be working closely with customers to understand their requirements, gather feedback, and provide technical inputs to the engineering team. You will be a focal point between the commercial and technical teams at Encord. Some of your responsibilities will be to:

- Support technical customer onboarding, including running technical sessions, importing/exporting data and labels into/out of our platform.

- Build scripts and tools to quickly respond to pressing customer feature requests. Support the product and engineering team in converting these point solutions into production grade features available in the main platform.

- Be the face of our engineering team with customers and prospects.

- Work alongside the commercial teams during the entire customer lifecycle and support dealmaking with your technical knowledge.

- Work with the Sales & ML team to prepare and set up product demos.

- 1+ years of experience. Previous experience as a Solutions Engineer is a plus.

- A good understanding of using Python SDKs, APIs, SQL and cloud integrations is needed.

- High attention to detail with a customer first approach.

- A hacker mindset to solve customer problems quickly and efficiently.

- Ability to estimate the scope of bug fixes and help debug code based on, e.g., stack traces from customers.

- Deal-driven attitude with the ability to work well under pressure.

- Beneficial if you have previous experience in a fast paced B2B startup.

- 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 — a year ago we were 25 people, now we’re 60. We’ll be growing insanely fast over the next 24 months and you’ll have all the opportunities for growth as you can handle.

- 25 days annual leave a year + public holidays.

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

Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.