Lead Research Engineer - Real Time Automotive Sensor Data Processing
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Allstate is looking to hire researchers to join our Innovation team at our downtown Chicago and Menlo Park(SF Bay area) locations.
Our team works on a diverse set of data and systems including GPS probe, Accident data, LiDAR and high-resolution imagery to create driver safety solutions and helps build next-generation road risk assessing platforms.
This is a great opportunity to work with a talented team of some of the world's leading experts to build solutions that are not only groundbreaking, but also help make driving safer and save lives.
Under leadership of Director of Innovation and Research, the Lead Research Engineer will develop novel algorithms and techniques by leveraging Geo-spatial data
and a host of vehicle generated data sets to address collision avoidance in advanced vehicles.
Deploy Computer Vision techniques such as object detection, scene recognition and structure from motion to solve interesting problems like Accident modeling, avoidance and prediction. He/she will also assist in efforts to evaluate, extract, scrub/prep, analyze and visualize spatial and non-spatial risk data using machine learning and statistical analysis and communicate to various stakeholders across and outside the company.
- Track and apply the latest algorithm improvements from industry and the research community. A strong passion for empirical research is a necessary trait.
- Collaborate in a fast-changing environment and to communicate clearly and effectively with colleagues who range from world's best academic researchers, senior data scientists, Developers, Dev Ops, Hardware engineers, and Product managers.
- Occasionally make presentations on enterprise specific topics at meetings and conferences.
- Prepare and deliver presentations and/or training sessions to share insights from research, software, tools or proc
- Master's degree or PhD in computer science or a highly quantitative discipline.
- Knowledge designing algorithms to support broadcast of rapidly changing, latency-sensitive data.
- Genuinely excited and enthusiastic about learning and pushing technical limits when finding new solutions.
- Data mining analysis languages such as R, Pydata, Sql.
- Familiar with batch processing/real time systems like Flume, Kafka and Akka.
- Proficiency in statistical methods and analysis including a deep understanding of regression techniques.
- Proficiency in database management: create, edit, update, join, append and query data from spatial and non-spatial relational databases.
- Experience with data visualization and graphics tools for the creation of professional presentations reports, web content, or education materials.
- Ability to create and maintain good working relationships and collaborations while being able to work independently and take initiative.
- Completed coursework or knowledge of machine learning techniques, in particular predictive model validation.
- Experience related to ADAS and vehicle systems is a plus.
- Exposure to ArcGIS is a plus
- Experience with data-parallel and/or accelerated computing (CUDA, OpenCL) is a plus.
- Big plus working knowledge of machine learning algorithms and software packages (Caffe, Torch, Theano, etc.)
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Please note, to be fully considered for this opportunity you must attach an updated resume to your profile when you apply, and if applicable, include:
- Your updated Allstate position(s) and titles, specific experiences and skills developed
- Committee/subgroup work
- Talent Share opportunities
- Completed programs/coursework
Visit "Managing Your Career" located under MyWorkLife (via MyDesktop) to further enhance your career profile and development goals.
Allstate generally does not sponsor individuals for employment-based visas for this position.
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