Machine Learning Engineer

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 Machine Learning Engineer to join us our ML team.

We are looking for an experienced Machine Learning Engineer to help us conduct research on the state of the art of computer vision and solve multifaceted algorithmic problems. You will:

- Experiment with and adapt latest ML technologies to fit into existing tech stack

- Solve idiosyncratic statistical, geometric, and engineering problems

- Work closely with a full stack tech team to assist implementation of research solutions into the product

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.

The right candidate will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include:

-Passion for solving ML problems

- Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai, and Keras

- Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning

- 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.