[robotics-worldwide] [jobs] Research Scientist in Machine Learning at Kiva Systems

Pete Wurman PWurman at kivasystems.com
Mon Apr 21 05:53:01 PDT 2014

Research Scientist in Machine Learning 

Kiva Systems LLC is a wholly owned and rapidly growing subsidiary of Amazon.com. Kiva automates fulfillment centers, dramatically increasing productivity, flexibility, and throughput. Using thousands of autonomous mobile robots and sophisticated control software, the Kiva Mobile Fulfillment System enables extremely fast cycle times with reduced labor requirements, from receiving to picking to shipping.

Kiva’s Research and Advanced Development group is seeking a passionate and talented research scientist to work on algorithms to improve our multi-robot fulfillment systems. This particular position is focused on machine learning, and will join a team of researchers with PhDs with backgrounds in discrete optimization, planning and scheduling, AI, and control systems. The ideal candidate for this position will be familiar with algorithms at both the theoretical and implementation levels. 

The successful candidate will develop algorithms that allow the Kiva control system to adapt to a variety of situations and improve its performance through learning. Projects may range from algorithms at the individual robot level to ones that control the entire facility. The ideal candidate will have a solid foundation in computer science, data mining, control and dynamical systems, or related fields, possess good communication skills, and enjoy problem solving both independently and in team settings. Further, this candidate should be familiar with fast growing companies and the associated deadlines and high-energy culture that go along with launching new products. You will be challenged intellectually and have a good time while you are at it!

The research scientist will be responsible for:
 -	Taking a lead role in evaluating and specifying data mining and machine learning algorithms
 -	Executing targeted research projects to demonstrate the benefits of proposed algorithm changes
 -	Analyzing algorithms in deployed systems to confirm that they are having the desired impact 

The ideal candidate will have the following qualifications:
 - Ph.D. or equivalent experience in machine learning or related field
 - Excellent creative problem solving skills
 - Excellent written and oral communication skills
 - Some project management experience
 - Desire and energy to work in an intellectually demanding, fast-paced environment

Send qualified resumes to engineeringjobs at kivasystems.com and put your name and the job title on the subject line.

-- Pete

Pete Wurman, Ph.D. | Chief Technology Officer | Kiva Systems, Inc.
tel: 781-305-5102 | cell: 508-517-9093 | pwurman at kivasystems.com | www.kivasystems.com

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