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Lead Machine Learning Engineer

  • Job type: Permanent
  • Location: San Francisco
  • Salary: £150000 - £190000 per annum, Benefits: Equity, Health, 401k,Bonus Targets, Daily Lunch
  • Job reference: 5/16/18 JCMG GLO
  • Sector: Cloud Software, Glocomms
  • Date posted: 16/05/2018
Machine learning Engineer

A cutting Edge Health-Tech firm offering world-class solutions to hospitals is looking for their Lead Machine Learning Engineer. Founded just over 2 years ago, they are now home to just under 50 employees and last year raised significant Series A Funding. The firm is now investing heavily in their Machine Learning team and is focused on finding their next specialist. With a huge amount of data, there are a number of green-field projects to get stuck into in a very visible team environment!

On top of joining a company cornering a market and legitimately helping to change lives, this could be an opportunity to continue to broaden your skill set while working on multiple business critical projects and leading teams with thought-leadership. By utilizing the latest technologies, combined with an unlimited access to data, statistics and expert research information, the platform generates answers for inquiries with multiple points of view.

Cutting Edge Start-up
San Francisco Bay Area
Equity & benefits

As a Lead Machine Learning Engineer you would:
  • Drive the next application of products through thought-leadership
  • Work with cross-functional teams to break down algorithms into products
  • Lead the development of the team and applications of techniques
  • Work on object research to support business critical projects
  • Establish metrics for optimizing precious resources
  • Develop models and data solutions to provide insight for clients
  • Work directly with Chief Executives

Should have the following qualifications:
  • M.S. (Ph.D Preferred) in stats, applied mathematics, Computer Sci, Engineering, Machine Learning, or similar
  • Strong experience with Machine Learning Algorithms
  • Must have a strong understanding of deep learning methodology and implementation
  • Have applied deep learning techniques to large data sets
  • Tensorflow, Theano, Keras, Caffe
  • Python, Java, R, SQL
  • Bonus: Hadoop, spark, and reinforcement learning, any NLP would be great
  • You are passionate about the tech can be an advocate for our brand
  • Great communication skills

  • Gym Membership
  • Flexible on working hours
  • Amazing All-Around Benefits Package!!
  • Catered lunches and cold brew on tap

For more info and a confidential chat please apply NOW or send me an email with resume included to! Our team is looking to speak to candidates ASAP!
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