Encord is revolutionizing AI infrastructure by focusing on the crucial aspect of data quality in AI development. As a rapidly growing team of 75+ professionals backed by top investors including CRV and Y Combinator, we're addressing the fundamental challenge that 95% of AI teams face: preparing quality training data efficiently and cost-effectively.
The Machine Learning Engineer role offers an opportunity to work at the cutting edge of computer vision and deep learning. You'll be part of a dynamic environment working with a broad tech stack including ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, and Kubernetes. The position involves experimenting with state-of-the-art ML technologies, solving complex algorithmic problems, and implementing research solutions into the product.
As an experienced ML Engineer, you'll contribute to a team that's solving unsolved problems in computer vision and deep learning across various industries including healthcare, surveillance, retail, and agriculture. The role offers significant growth potential, as evidenced by our rapid expansion from 25 to 60 people in just a year, with plans for continued growth over the next 24 months.
Working at Encord means joining a talented team of ex-computer scientists, physicists, and quants who understand the challenges of AI development firsthand. You'll be part of a company that's consistently rated as the best tool in the market by customers and is backed by industry leaders like Luc Vincent, former VP of AI at Meta, and other top Bay Area AI leaders.