Senior Software Engineer - Machine Learning Infrastructure

Senior Software Engineer – Machine Learning Infrastructure

Strong technical background in designing and implementing deep learning, ML, or data analytics infrastructure
Skilled in Python/C++
Strong problem-solving skills
Strong knowledge of data processing pipelines for training ML models in the cloud
Very strong software engineering skills and experience building high-reliability applications
Ability to write well-designed, highly maintainable code
Solid understanding of metrics, data analysis, and scientific evaluation
Experience working with production machine learning pipelines, from dataset collection and labeling to training and validation
Experience writing clear, concise, and detailed documentation

Design and implement Kodiak’s infrastructure for training, evaluating, and deploying deep learning models in efficient Python and C++ code
Develop and optimize push-button training pipelines in distributed environments
Develop metrics to measure model, perception system, and overall self-driving performance
Build systems to track metrics over time and enable comparison of experiments
Develop systems for finding failure cases, visualizing predictions, and pinpointing areas for improvement
Create systems to track, segment, and select data to be used in training or reinforcement, including synthetic and machine-generated labels
Measure and optimize deep learning network and detection runtime performance using state of the art techniques
Enable continuous integration and deployment of model improvements
Collaborate closely with other experts in sensors, perception, prediction, planning, and systems engineering teams

A team player who takes ownership and works with the team to deliver exceptional results
Ability to build and iterate quickly
Hands-on experience with production machine learning pipelines
Great communicator with experience writing clear, concise, and detailed documentation