Lead Data Scientist - Safety Alignment
HumanaFull Time
Expert & Leadership (9+ years)
Candidates must possess a Bachelor's degree and have extensive experience in the end-to-end development lifecycle for artificial intelligence and machine learning. A strong understanding of industry best practices and standards in AI safety is required, along with proficiency in programming and statistical techniques to solve complex problems. Experience with ISO 8800 and ISO 24118 is also necessary.
The AI/ML Safety Technical Lead will define safety strategies and targets for AI/ML-based autonomous driving systems, assess the safety of production models and ML Ops, and collaborate on new machine learning solutions. Responsibilities include developing strategies for safe AI/ML development, deployment, and maintenance, ensuring safety in model training and enhancement, setting standards for prototyping and deploying AI solutions including Generative AI, and establishing strategies for testing and validation of data sets and operational design domain components.
Designs, manufactures, and sells vehicles
General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.