Senior Machine Learning Engineer Jawbone
About Jawbone?s Data team:
1. Jawbone's data is incredibly awesome: Collected at 30 hertz, 24/7, from hundreds of thousands of users, UP data touches people's lifestyles at a level of granularity that even giants like search and social can't match. It's meaningful at many scales: fractions of seconds to decipher patterns in movement and sleep; minutes and hours to construct the events that make up a user's day; weeks and months to describe the habits of individuals, communities and the world. UP data holds enormous potential for broad and lasting lifestyle improvement, and groundbreaking research on health and habit formation.
3. Our data science team is at an inflection point: We've recently invested in power tools (hadoop + cascalog and hive, plus an extremely powerful NoSQL framework for tapping realtime user data) to accelerate the data science workflow. With these tools in hand, the whole pipeline -- from queries and cleaning, to merges, aggregations and transformations, to analysis, reporting, and visualization -- is flowing faster. This is the hot moment for taking mission-critical data products from concept to delivery, a chance to put your stamp on a great product, and an opportunity to build a portfolio of user- and management-facing wins to point to later in your career.
Given a classification problem and a set of business constraints, select the most appropriate machine learning technique to apply to the problem
Design and implement libraries of predictive features for a variety of machine learning tasks
Develop tools and methodologies for identifying an optimal set of predictive features subject to a variety of memory and CPU constraints
Work with business owners to map business requirements into technical solutions
Perform ad hoc statistical, data mining, and machine learning analyses
Experience with a high-level statistical modeling tool such as R or Matlab
Deep understanding of machine learning algorithms, particularly ensemble techniques
Strong software development skills in Python, Java, or C++
Experience developing and implementing predictive models in a product development environment
Experience with statistical error estimation techniques such as cross-validation and the bootstrap
Additional Desired Skills and Qualifications:
M.S. in statistics, electrical engineering, or computer science (Ph.D. preferred)
Minimum of five years experience applying machine learning algorithms to real business problems
High intellect and ability to solve extremely challenging predictive modeling problems applied to a variety of different domains
Ability to work independently with minimal supervision
Motivated by continuous learning and development, dedicated to delivering exceptional solutions
Excellent interpersonal, written, and verbal communication skills
For more than a decade, Jawbone has developed human-centered wearable technology and audio devices unparalleled in their technical innovation, ease-of-use and sophistication of design. A 2010 IDSA Design of the Decade winner, the company is the creator of the award-winning and best-selling Jawbone ERA and ICON Bluetooth headsets; NoiseAssassin technology, the world's first and only military-grade noise-eliminating technology; and the JAMBOX and BIG JAMBOX wireless speakers and speakerphones. Jawbone?s approach to lifestyle tracking is unique, with over 110 patents filed related to UP and its wearable technology manufacturing processes. Jawbone is privately held and headquartered in San Francisco.
Jawbone is an equal opportunity employer, offers an exciting opportunity for qualified career-motivated professionals. We provide competitive compensation, stock options and the chance to work with talented people in a winning, successful, and pleasant environment. We offer many premium benefits including 401(k), medical, dental, life insurance, Paid Time Off and much more.
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San Francisco, CA 94134