We are looking for a Machine Learning Engineer in Perception that will invent pragmatic, long-term and stable software solutions to sophisticated problems. This adaptable role implements a wide spectrum of applied ML and sensor research, and model development to overcome challenges on urban roads.
What you’ll be doing:
- From a research perspective, exploring, prototyping, validating, and iterating new algorithms
- On the development side, driving efforts to optimize, supervise and refine on-road performance for models on the path to production
- This role will support the hardware organization. Likely projects will include sensitivity studies for hardware selection as well as architecture investigations.
- Champion of the highest quality in engineering, crafting solutions and not just identifying problems
What you must have:
- Solid understanding of computer vision fundamentals including the development and training of ML models
- Perform first principles analysis of perception models and experiments to support HW sensor development.
- Be able to run and retrain Cruise perception machine learning models and evaluate model performance (PR, other metrics)
- Must be able to work independently and multi-functionally between HW and perception teams.
- Willing to be hands on with sensor data; has a practical understanding of experimental data and hardware versus purely theoretical.
- Basic knowledge of sensing physics and awareness of different sensing modalities (lidar, cameras, radars, ultrasonic sensors, etc.).
- Growing expertise with ML frameworks such as Tensorflow, Caffe, and PyTorch
- Strong programming skills in Python, C++, or other relevant languages
- Passionate about self-driving car technology and its impact on the world!
Bonus points!
- PhD in machine learning or computer science
- Research experience developing computational cameras, physics-based computer vision systems, or other research at the intersection of CV/ML and sensor development.
- 4+ years of industry experience in Machine Learning
- Experience and growing expertise with ROS, OpenCV, Gazebo, or PCL
- Track record in deploying perception algorithms into real world environments
- Experience and growing expertise with autonomous driving technologies
The salary range for this position is $161,200 - $237,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.
