Senior Machine Learning Engineer

Starting salary will be based on experience and credentials

San Francisco, California

Description

Dyson is growing - fast. Our ambition is huge. The Senior Machine Learning Engineer will be joining a new and rapidly expanding team at Dyson.

Market Overview

Dyson landed in the US in 2002 and within 24 months our technology was market share leader. Our bustling HQ is based in the historic Montgomery Ward Building, overlooking the Chicago River. A few hours down the road in Aurora, our dedicated US Customer Care team now numbers 250 people. And in total, there are over 600 Dyson people working across the US in multiple functions.

But Dyson US is still growing. It’s poised to double its footprint and take on new categories. Already a target for our competitors, challenging times are ahead. And our battle-hungry US team are truly fired up.

Function Overview

It takes real ingenuity to find new ways of doing things. Smarter technologies. Our Research & Science teams – software developers, engineers and scientists – are the experimenters and risk-takers behind Dyson problem-solving. Whether it’s in-house development, sourcing outside technology partners, or driving collaboration with partner universities, we lead the way in finding the next generation of Dyson technology. Which is why anyone can find themselves presenting to James Dyson himself.

Accountabilities

  • Work alongside scientists, designers, and research engineers to provide analytic insight into Dyson’s research challenges and support to operational issues.
  • Perform investigatory analysis of large multivariate datasets, suggesting novel techniques for data collection during future experiments and field trials.
  • Identify opportunities to apply machine learning techniques to extract meaning and derive value.
  • Characterize classifier or algorithm performance against defined project objectives; proposed implementation environment; and associated computational constraints.
  • Collaborate with research engineers to recommend improvements to data collection and experimental strategy to optimize system performance.
  • Application of statistical methods to establish confidence in findings.
  • Design and develop clean, documented, and easy to maintain code. 
  • Integrate software builds with the corporate CI environment where appropriate.
  • Produce reports and presentations summarizing progress against team and project goals, effectively and engagingly presenting complex technical information and analysis to senior management.
  • Work independently to manage tasks with competing priorities.
  • Collaborate with academic and industrial partnerships to leverage externally available expertise, where appropriate.

Skills

  • Master of Science degree or Doctoral degree in Engineering, Computer Science, or Applied Mathematics.
  • Expert knowledge of machine learning algorithm development and implementation in complex systems including hardware, software application and cloud-based components.
  • Demonstrable machine learning or data science experience with a proven track record outside of academia, ideally working with Agile development methodologies.
  • Feature extraction, time series analysis, signal processing, and statistical modelling.
  • Ability to program in both high and low level languages as appropriate, including Java and Python.
  • C and C++ experience is desirable.
  • Experience applying machine learning and data science techniques in a distributed processing environment against large quantities of data, e.g. Hadoop, AWS, GCE, TensorFlow.
  • Enthusiasm to learn and share new methods and techniques within several areas of technical expertise.

Benefits Overview

Dyson US monitors the market to make sure we offer competitive salaries and retirement plans. But financial rewards are just the start of a successful career at Dyson. Professional growth and new opportunities are driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a dress code reflecting our creative engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

Dyson is committed to providing reasonable accommodations to individuals with disabilities. If you are interested in applying for employment with Dyson and need a reasonable accommodation for any part of the application process, please send an e-mail with your contact information, the job number of the position for which you are interested in applying, and the nature of your request to careers.us@dyson.com or call (312) 706-2260. Determinations of requests for reasonable accommodation are made on a case-by-case basis.

Dyson is an Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities

Posted: 1-Mar-2017

Facebook LinkedIn Twitter Google Plus Viadeo