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Machine Learning Engineer – PhD Hire

SIG
Overview 
As a Machine Learning Engineer, you will design, develop, and deploy algorithms used to optimize our trading activities at SIG. You will join a team of engineers and researchers that specialize in the application of machine learning techniques, particularly deep learning techniques. Combining cutting-edge research with real industry data, Machine Learning Engineers will build tools that ultimately have impact on the financial markets themselves.
 
This work will be challenging, fast-paced, and competitive. Whether the application is on time series modeling or natural language understanding, you will work with breakthrough results in deep learning and continually iterate upon new techniques. In addition, success in this role will rely on effective communication across several departments. SIG thrives in the collaboration between our quantitative researchers, developers and traders, and our Machine Learning team is no exception.

What we're looking for
  • Graduating PhD students or postdoctoral researchers in Machine Learning, Computer Science, Statistics, Physics, Applied Mathematics, or related field
  • Strong programming skills in Python and/or C++
  • Experience in writing production-level code
  • Solid, analytical problem-solving skills
  • Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
  • Demonstrated experience working with and drawing conclusions from large datasets
  • Visa sponsorship is available for this position

SIG Perks
  • Relaxed dress code: jeans and sneakers are the norm, shorts all summer long
  • Food, beverages, and snacks available all day
  • A 9,000 square-foot gym with cardio, cross fit and strength machines, plus yoga and indoor cycling classes
  • Discounts for dining, entertainment, shopping, travel, and attractions
  • Social events including a poker tournament, dinners, and sporting events in Philadelphia
  • On-site Wellness Center staffed with full-time Nurse Practitioner
  • On-site services such as barber, dry cleaning and laundry, auto repair and detailing, and ATM
  • Opportunities to give back to the community through SIG sponsored events and donation drives

For more information, please contact Emily Selzam at Emily.Selzam@sig.com
 
We don’t post salary ranges externally so any salary estimate you see listed on a third party website was not provided by SIG and may not be accurate. 

SIG is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of SIG, and no fee will be paid in the event the candidate is hired by SIG.