Description:

BioRender is seeking an AI Engineer to help build tools that transform how scientists communicate complex ideas.
The role involves leveraging ML/AI to tackle real-world problems in scientific visualization, data analysis, or image processing.
Candidates will need to dive deep into challenges, explore unconventional solutions, and deliver results that exceed expectations.
The position requires collaboration with world-class engineers and domain experts to foster personal growth.
The engineer will take full end-to-end ownership of customer problems, from data gathering to production solutions.
Staying updated with cutting-edge research in AI and applying it in innovative ways is essential.

Requirements:

A solid foundation in machine learning concepts, including neural networks and supervised/unsupervised learning, is required.
Proficiency in Python and experience in building fullstack products that leverage machine learning is necessary.
Experience with TensorFlow, PyTorch, and single-page applications on cloud platforms like AWS/GCP is expected.
A portfolio showcasing previous work, such as GitHub repositories, Kaggle competition results, or personal projects, is essential.
Candidates should demonstrate curiosity and grit, showing a commitment to solving problems and learning quickly.
A builder’s mentality is crucial; candidates should take initiative and figure out solutions independently.
The ability to collaborate effectively while challenging ideas to reach the best solutions is important.

Employees will have the opportunity to work on projects that directly impact the scientific community.
There is potential for growth without limits, with opportunities to learn from senior engineers and take on challenging tasks.
BioRender fosters a culture of excellence, where team members set high standards and support each other in achieving them.
The company offers flexibility in a remote-first environment while maintaining strong team connections through collaboration and shared purpose.