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【独家发布】Machine Learning Auvenir - Toronto, ON [推广有奖]

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楼主
hanszhu 发表于 2016-8-24 08:22:30 |AI写论文

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  1. Machine Learning
  2. Auvenir - Toronto, ON
  3. Full-time, Contract
  4. An ideal candidate will have:
  5. A proven track record, academic and/or industry experience infields related to machine learning and financial fraud, particularly in theaudit industry.

  6. Deep knowledge of statistical and machine learning approachesand problem domains.

  7. Computer Science or other relevant degree with strong coding ability.

  8. Proven success with multiple ML/AI/classification projects(research papers, open source implementations, etc.).

  9. Expertise in one or more specific areas of research: neuralnets/deep learning, ensemble learning and system identification.

  10. Talent for and enjoyment of clever algorithm design.

  11. AI background and interest.

  12. Not afraid to dig into and operate on a complex software system.

  13. Research-minded, ability to run experiments independently andpresent results to leadership.

  14. Solid communication skills.

  15. Skills & requirements:
  16. Machine Learning (expert).

  17. Python (expert).

  18. Deep Learning (expert).

  19. Ensemble Modeling/Classification (proficient).

  20. Data Structures and Algorithms (familiar).

  21. Understanding of applied mathematics, computational science,computational statistics, approximation theory, representation learning, and/orpattern recognition.

  22. Full Development lifecycle experience.

  23. Probability and probabilistic reasoning.

  24. Basic qualifications:
  25. PhD or MS in Computer Science, Statistics,Optimization or related area.

  26. 3+ years of industry experience in machinelearning and/or natural language processing.

  27. Experience in designing, validating andtesting and iterating complex learning models.

  28. Proficiency in Python, R, Matlab/Octave.

  29. Preferred qualifications:
  30. Experience with Amazon ML and NLP tools.

  31. Record of scientific publications in ML, NLP,statistics, optimization or related area.

  32. Experience with third-party ML and NLPlibraries/packages.

  33. How to Apply:
  34. Think you’re a good fit? Then we want to hear from you!

  35. Please send your resume, cover letter and GitHub handle to careers@auvenir.com

  36. Have any questions? Don’t hesitate to reach out to careers@auvenir.com and someone will get back to you as soon as possible!
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