Senior Applied Research Scientist, Machine Learning

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

We're Cruise, a self-driving service designed for the cities we love.

We're building the world's most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of in ternal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.

The Autonomous Vehicle (AV) software stack heavily relies on machine learning. Throughout the lifecycle of each machine learning model, skilled ML engineers work cl osely to design, build, train, and deploy machine learning models into our unique AV systems. In this position, you will work closely with machine learning engineers from different AV Engineering teams (e.g. Computer Vision, Prediction), covering different algorithms across the AV software stack. If you're interested in solving some of the most exciting machine learning problems in the industry, then chat with us!

What you'll be doing:

• Research, design, and develop new machine learning solutions and algorithms.
• Drive high level algorithm decisions to ensure fast and accurate machine learning in a multitude of different applications
• Implement cutting edge machine learning techniques in object classification, labelling, pose estimation, and prediction
• Use real-time state estimation and context from surroundings to predict the motion of surrounding vehicles and pedestrians for use with vehicle path planning
• Work on data association, clustering, segmentation, filtering, and estimation
• Build robust, reliable systems to handle common and uncommon situations on the road

What you must have:

• PhD or MS in CS/CE/EE, or equivalent industry experience
• Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch
• Experience with machine learning and classification
• Strong programming skills in Python or C++
• Excellent mathematical reasoning skills, especially with probability 
• Passionate about self driving car technology and its impact on the world
• Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publicatio n or productization

Bonus points!

• Experience with Hidden Markov Models (HMMs)
• Experience with ROS, OpenCV, Gazebo, or PCL
• Experience with CUDA
• Experience in deploying perception algorithms into real world environments

Apply Online at Cruise