Palo Alto California
Description: Boschneed a Data Mining Engineer – Active Learning immediately starts from Tue, 05 Feb 2013 12:42:28 GMT, this position will be placed in California.
For more detail information about this job vacancy please read the description below. If interested in this position, please email us your resume, along with salary requirements and a cover letter to Bosch starts from Tue, 05 Feb 2013 12:42:28 GMT.
The Bosch Group manufactures and markets automotive OE and aftermarket products, industrial automation and mobile products, power tools and accessories, security technology, and packaging equipment.
The Bosch Research and Technology Center focuses on the following topics:
ASIC design and MEMS technology
Energy conversion and energy storage technologies, modeling simulation and controls
Algorithms for Robotics, Autonomous Systems and Data Mining
User Interaction Technologies The Research and Technology Center North America (RTC), with an office in Palo Alto, CA, focuses on the topics of sensor and communication technologies, including MEMS integration techniques and RF applications; new powertrain concepts; communication systems for automotive and industrial applications; and human-machine-interaction and visualization technologies.
By choice, we are an Equal Opportunity Employer committed to a diverse workforce. Tasks
Research, develop and apply active learning methods in applications across various Bosch business domains (automotive, healthcare, industrial)
Collaborate with product management, marketing and engineering teams in Business Units to elicit & understand their requirements & challenges and develop potential solutions
Stay current with latest research and technology ideas; share knowledge by clearly articulating results and ideas through papers, presentations to research staff, management, and key decision makers.
Publish in relevant top journals and conferences, contribute to RB’s patent portfolio Requirements
Required Knowledge and Skills
Strong background in at least one of the following: active learning, budgeted learning, bandit mechanisms, or experimental design
Strong programming experience in at least 2 of the following: Java, C++(STL), Python, Perl, Matlab, R, SPSS/SAS
Demonstrated ability to work both independently and within a team environment
Excellent communication skills
Desired Knowledge and Skills
Experience in Bayesian adaptive designs
Experience in validation of large scale machine learning systems
Tue, 05 Feb 2013 12:42:28 GMT
Palo Alto, CA