Machine Learning Tooling and Simulation Engineer

Venti Technologies, a leader in safe-speed autonomous logistics systems, is seeking a Machine Learning Tooling and Simulation Engineer to join their innovative team. Based in Singapore, with offices in Cambridge (MA, USA) and Suzhou (China), Venti is at the forefront of developing autonomous vehicle technologies using rigorous mathematics and deep learning.

The role focuses on designing and developing tools that enhance the machine learning pipeline, including creating custom annotation GUI tools and developing simulation platforms for synthetic data generation. You'll work with cutting-edge autonomous vehicle technologies while collaborating with ML engineers and software developers to improve and optimize these systems.

As a Machine Learning Tooling and Simulation Engineer, you'll be responsible for developing intuitive annotation interfaces, integrating automation functionalities, and creating simulation environments for generating high-quality synthetic data. The position requires expertise in programming languages like Python and JavaScript, experience with GUI frameworks, and knowledge of simulation platforms.

The ideal candidate should have at least one year of experience in developing tooling or simulation systems, preferably in ML applications. A background in computer science or related field is required, and experience in autonomous vehicles or robotics is a plus. You'll be joining a closely-knit team of innovators and problem-solvers who are passionate about changing the world through disruptive technology.

Working at Venti Technologies offers the opportunity to be part of a growing company with a proven value proposition in autonomous logistics. The company provides competitive benefits, flexible working arrangements, and an excellent international working environment. If you're excited about contributing to the future of autonomous transportation and working with cutting-edge technology, this role offers an excellent opportunity to make a significant impact.