Nauto is looking to solve the problem of road safety by preventing collisions and saving lives through predictive AI that detects driver state and vehicle surroundings in real-time. The company aims to improve driver safety and operational efficiency for commercial fleets, vehicle manufacturers, insurance providers, and autonomous vehicle companies.
Requirements
- Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling
- Experience working with large-scale datasets with solid understanding of data processing, feature engineering, and data visualization techniques
- Practical experience with data science and machine learning methods, common cloud-based data analysis tools and frameworks (Spark, SQL, Pandas, Python, R, AWS, GCP, PySpark, scikit-learn, OpenCV, etc).
- Embraces scientifically rigorous mindset to algorithm development based on well designed experiments using real-world data to evaluate, validate and iterate
Responsibilities
- Design, build and deploy solutions to challenging problems leveraging access to vast real-world data
- Create large datasets to discover insights helpful in developing new approaches and algorithms to advance the state of the art in transportation safety
- Collaborate with multiple teams (Product, Perception, Device Engineering, Customer Success) to identify and clarify business or product questions, to answer and provide feedback, and to translate and refine business questions into tractable analysis, evaluation metrics or mathematical models.
- designing and deploying cutting-edge machine learning models that analyze vision & sensor data
- leading analytical initiatives
- shaping the long-term data science strategy
- analyze vision & sensor data
Other
- M.Sc. required, Ph.D. a plus in Computer Science, Statistics, Math, Physics or similarly quantitative-heavy field
- At least 5+ years of related industry experience
- Strong communication and presentation skills, with the ability to effectively convey technical information to internal and external audiences.
- Leadership experience is a plus.
- Start-up experience a plus.
